The Network Operations Engineer will automate network configuration, change management, and observability across multi-vendor enterprise networks. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The Proposal Manager will lead the full lifecycle of federal government proposals, including developing schedules, writing content, and ensuring compliance. They will also collaborate with leadership and technical teams to support capture planning and business development activities.
The Senior Data Scientist will design, develop, and deploy enterprise-grade machine learning solutions to support strategic business initiatives. They will manage the complete data science lifecycle, including model development, deployment, and performance monitoring while collaborating with cross-functional teams.
The Container Platform Engineer will architect, deploy, and operate enterprise-grade Red Hat OpenShift clusters across on-premises and cloud environments. They will manage the end-to-end platform lifecycle, including automation, security hardening, and developer enablement.
The consultant will build and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Responsibilities include backend C#/.NET development, front-end work, content modeling, and managing platform migrations.
The consultant will design and develop complex Workday configurations, including custom reports, calculated fields, and business process workflows. They will also support Workday Extend application development and collaborate with cross-functional stakeholders to translate business requirements into maintainable technical solutions.
The role involves designing, deploying, and operating cloud networking infrastructure across major cloud providers including VPC/VNet design and hybrid connectivity. You will also automate networking tasks using Terraform and collaborate with cross-functional teams to deliver secure, scalable solutions.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Ensure reliable AI performance by managing compute, memory, and energy constraints in production environments.
The Hadoop Solutions Developer will design, build, and operate large-scale data processing pipelines and analytics platforms. They are responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning.
Design and develop integrations between Coupa and enterprise systems such as ERP, finance, and payroll. Maintain integration performance, security, and documentation while supporting production incidents and platform upgrades.
The Cloud Networking Engineer will design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. The role focuses on platform engineering, mesh adoption, and implementing traffic policies across the Kubernetes estate.
The AI Risk Engineer will lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. This role involves securing training pipelines, managing model endpoints, and conducting red-team exercises to mitigate risks like prompt injection and data exfiltration.
The Hybrid Cloud Architect will define multi-cloud strategies and design reference architectures across AWS, Azure, GCP, and OCI. They are responsible for establishing cross-cloud networking, federated identity, and infrastructure-as-code patterns to ensure operational consistency.
Design, deploy, and operate VMware-based virtualization, software-defined networking, and software-defined storage platforms. Manage capacity and operations across on-premises and hybrid cloud environments.
The AEM Technical Consultant will build and maintain enterprise-grade digital experiences using AEM Sites, Assets, and Cloud Service. The role involves hands-on development of components, templates, workflows, and integrations while ensuring high performance and maintainability.
The consultant will deliver configuration, integration, and customization across the Guidewire Insurance Suite and Guidewire Cloud. They will work with cross-functional teams to translate requirements into engineered solutions while providing mentorship to junior engineers.
The SAP ABAP Developer will design, develop, and support custom enhancements, integrations, and reports within large enterprise SAP landscapes. This role involves managing the full development lifecycle, including technical design, coding, unit testing, and performance tuning in collaboration with stakeholders.
The Senior Data Engineer will architect, develop, and maintain enterprise-grade data platforms and scalable pipelines to support analytics and machine learning initiatives. They will manage the end-to-end data engineering lifecycle while collaborating with cross-functional teams in an Agile environment.
The Senior UI/UX Designer will lead the end-to-end design lifecycle, translating business requirements into intuitive user experiences and interactive prototypes. They will also develop responsive front-end interfaces and collaborate with cross-functional teams to maintain enterprise-grade digital products.
The Infrastructure Automation Engineer will develop production-grade automation for multi-vendor enterprise networks using Python, APIs, and infrastructure-as-code. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior staff.
The Senior DevOps Engineer will architect, build, and maintain enterprise-grade cloud infrastructure and CI/CD pipelines. They will also be responsible for the complete infrastructure lifecycle, including automation, monitoring, and ensuring operational excellence.
Design, deploy, and operate cloud networking infrastructure across major cloud providers while ensuring reliability and security at scale. Collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
The Boomi Middleware Developer will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The PLM Engineer will manage the technical operation, installation, and configuration of Windchill or Teamcenter environments. They will also lead platform upgrades, performance tuning, and provide ongoing support to ensure system reliability and security.
Design and implement performant backend services, infrastructure tooling, and cloud-native applications using Go. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The Dell Boomi Developer will design, build, and operate enterprise integrations using the Boomi AtomSphere platform. They will manage the full integration lifecycle, including development, deployment, monitoring, and mentorship of junior team members.
Design and implement large-scale distributed backend systems while ensuring scalability, reliability, and performance. Lead architecture reviews, mentor mid-level engineers, and drive incident response for mission-critical services.
Design and develop advanced Java customizations within the Windchill platform, including services, listeners, and processors. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers and maintaining technical documentation.
Design and build robust, scalable test automation frameworks for web, API, mobile, and microservice testing. Collaborate with cross-functional teams to embed quality engineering throughout the software development lifecycle.
Provide deep technical leadership across multiple teams to drive the design and execution of complex engineering initiatives. Collaborate with cross-functional partners to translate ambiguous requirements into well-engineered solutions while mentoring junior engineers.
The AI Pipeline Engineer will design and operate large-scale data systems to support AI training, evaluation, and continual improvement workflows. Responsibilities include building ingestion systems, ensuring data quality, and optimizing high-throughput data loading for GPU-accelerated training.
The Platform Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems in production. They will apply software engineering principles to infrastructure problems to push the platform toward higher reliability and lower operational toil.
The Enterprise ServiceNow Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will establish data modeling standards and partner with cross-functional teams to deliver a scalable, secure, and reliable data foundation.
The CRM Integration Architect will design and govern complex integrations between Salesforce and the broader enterprise application landscape. This role involves defining integration patterns, managing API strategies, and mentoring junior engineers to ensure reliable, scalable system performance.
Design, deploy, and operate enterprise storage foundations supporting compute, virtualization, database, and Kubernetes workloads. Manage block, file, and object storage across data center, edge, and cloud environments while ensuring performance and data protection.
The Embedded AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Responsibilities include implementing model compression techniques, building inference runtimes, and collaborating with cross-functional teams to ensure efficient performance on target hardware.
The Data Platform Engineer will design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Responsibilities include ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
The Enterprise Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption layers. They will also establish standards for data modeling, governance, and security while partnering with cross-functional teams to deliver scalable data solutions.
The Kubernetes Service Engineer will design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. They will also develop adoption patterns, implement traffic management policies, and maintain observability across multi-cluster Kubernetes environments.
The Secure Software Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They are responsible for identifying vulnerabilities and reducing risk across the company's application portfolio.
The CRM Technical Architect will define and govern enterprise Salesforce implementations across various clouds while leading solution design and technical strategy. They will also establish standards for development, integration, and security while mentoring engineering teams to ensure scalable and maintainable solutions.
The Platform Automation Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform across cloud and hybrid environments. They are responsible for creating reusable modules, enforcing policy-as-code, and managing automated CI/CD pipelines for infrastructure delivery.
The developer will design and build production-grade Salesforce solutions using Apex, Lightning Web Components, and Flow. They are responsible for delivering custom business logic, integrations, and automation while maintaining platform standards.
The Site Observability Engineer will design and operate enterprise-grade observability platforms, including metrics, logging, tracing, and alerting systems. They will also define SLOs and SLIs while building self-service tooling to help engineering teams maintain system reliability.
The consultant will design, develop, and maintain complex integrations between Workday and various enterprise applications using tools like EIB, Studio, and APIs. They will also collaborate with cross-functional stakeholders to translate business requirements into reliable, well-engineered technical solutions.
The ML Security Engineer will lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. They will also secure training pipelines, conduct red-team exercises, and ensure compliance with regulatory obligations.
The developer will build and maintain solutions across various ServiceNow modules including ITSM, ITOM, and custom applications. They are responsible for hands-on configuration, scripting, and integrations while ensuring the platform remains performant and upgrade-safe.
The engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, optimizing distributed training frameworks, and ensuring high performance and reliability of AI infrastructure.
Design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The AI Data Platform Engineer will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will partner with cross-functional teams to deliver scalable data foundations and establish standards for data modeling and lifecycle management.
You will build low-latency, high-reliability trading, risk, and analytics systems by translating mathematical models into production-quality software. The role involves collaborating with quants, traders, and cross-functional stakeholders to deliver well-engineered solutions.
You will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support using the Boomi AtomSphere platform. Additionally, you will collaborate with cross-functional teams to translate requirements into engineered solutions and mentor junior engineers.
The Cloud Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic infrastructure direction and collaborate with cross-functional teams to deliver a scalable data foundation.
Design, build, and integrate software systems for autonomous robots and robotic platforms. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
Design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. Develop high-throughput data loading systems and ensure data quality, lineage, and privacy across the AI data estate.
You will design, build, and improve automation frameworks while writing production-quality test code. Additionally, you will partner with cross-functional teams to embed quality engineering throughout the software development lifecycle.
The developer will design, develop, and support customizations, integrations, and enhancements on the Windchill PLM platform. They will collaborate with functional consultants and engineering stakeholders to translate business requirements into well-engineered technical solutions.
The Lead Backend Developer will design, build, and operate foundational platforms and shared services to support high-throughput product delivery. This role involves managing request routing, traffic management, data fan-out, and durable event processing to ensure system scalability and reliability.
The Secure AI Systems Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
The QA Automation Engineer will design, develop, and maintain robust automated testing frameworks for enterprise web, API, and distributed systems. They will partner with development teams to expand test coverage and integrate automation into CI/CD pipelines to accelerate software delivery.
Design and develop integrations between Coupa and various enterprise systems including ERP, finance, and HR platforms. Manage supplier onboarding, invoicing, and payment integrations while ensuring secure API performance and data synchronization.
The Lead Backend Engineer will architect and operate large-scale, high-throughput backend services to support mission-critical workloads. This role involves designing scalable platforms while focusing on reliability, performance, and clean engineering practices.
The developer will build and maintain solutions across various ServiceNow modules including ITSM, ITOM, HRSD, and CSM. They are responsible for hands-on configuration, scripting, and integrations while ensuring the platform remains performant and upgrade-safe.
The Lead .NET Full Stack Engineer will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. This role encompasses the full engineering lifecycle, including architectural design, hands-on implementation, deployment, and post-release support.
The Streaming Data Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for event-driven workloads. They will own the platform end-to-end, including cluster configuration, security, automation, and developer enablement.
The developer will perform deep, low-level Windchill customizations using Java and PTC APIs to extend platform functionality. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior staff.
The Windchill API Developer will design, build, and maintain integrations between PTC Windchill and enterprise systems like ERP, MES, and CAD. They will own the technical integration layer and collaborate with cross-functional teams to deliver well-engineered solutions.
The PLM Engineer will own the technical operation of the PLM platform, including installation, configuration, performance tuning, and upgrades. They will also partner with functional, engineering, and manufacturing teams to ensure a reliable, performant, and secure PLM ecosystem.
The MuleSoft Integration Engineer will design, build, and operate enterprise integration solutions on the MuleSoft Anypoint Platform. They will own the full integration lifecycle, including API development, deployment, observability, and ongoing optimization.
The AI Performance Engineer will profile and optimize end-to-end AI training and inference pipelines to improve throughput, latency, and cost-efficiency. They will also collaborate with ML and platform teams to implement performance best practices and maintain rigorous benchmark suites.
The IoT Engineer will architect end-to-end IIoT solutions, including edge device connectivity, cloud platform integration, and data acquisition pipelines. They will also develop real-time analytics and predictive maintenance models while ensuring secure connectivity and compliance with industrial cybersecurity standards.
The Principal Software Engineer will design high-scale distributed systems and lead technical initiatives across multiple business units. They are responsible for shaping engineering culture through mentorship and making critical architectural decisions at an enterprise scale.
Design and build software tooling to accelerate semiconductor design, verification, and post-silicon validation workflows. Develop firmware, drivers, and infrastructure to support large-scale compute and cloud-based EDA environments.
Design and operate high-performance inference platforms for serving large machine learning models in production. Optimize inference performance, manage GPU utilization, and implement robust observability and reliability strategies.
The Azure Cloud Engineer will design and operate Azure Kubernetes Service clusters at scale while implementing infrastructure-as-code solutions. They are responsible for managing CI/CD pipelines, ensuring cloud security, and maintaining observability across distributed workloads.
Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments. Develop scalable training infrastructure and monitor deployed policies for performance, stability, and safety.
The Microservices Architect will lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies and domain-driven design. They are responsible for defining architecture standards, modernizing legacy systems, and ensuring the resilience and scalability of distributed services.
The SRE Technical Lead is responsible for ensuring the operational excellence of critical production systems through hands-on technical leadership. This role focuses on driving automation, optimizing system performance, and leading incident response efforts.
The Kafka Platform Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent environments for mission-critical workloads. They will manage cluster sizing, configuration, security, and automation while partnering with application teams to ensure platform reliability.
The AEM Solutions Engineer will design and develop enterprise-grade digital experiences using AEM Sites, Assets, and Cloud Service. They will also manage backend logic, front-end integrations, and CI/CD pipelines to ensure high-performance content delivery.
The API Solutions Architect will lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. They are responsible for defining architecture standards, modernizing legacy systems, and ensuring the resilience and scalability of distributed services.
Design, train, and deploy reinforcement learning-based systems for complex decision-making problems. Ensure the stability, safety, and ongoing improvement of RL solutions as they transition from the lab to production environments.
The Chief Software Engineer will define enterprise-level architectural standards and lead the design of highly scalable, fault-tolerant distributed systems. This role involves driving technology strategy, mentoring senior staff, and partnering with executive leadership to ensure operational excellence.
The Autonomous Systems Engineer will design, build, and integrate software systems for autonomous robots, working across the full stack from sensor integration to behavioral systems. They will also collaborate with cross-functional teams to develop motion planning, perception, and control algorithms while mentoring junior engineers.
Design and develop scalable automation frameworks for web, mobile, and API testing while integrating them into CI/CD pipelines. Collaborate with development teams to improve testability, perform root-cause analysis, and ensure high-quality software delivery.
Design and build high-throughput internal platform services and shared infrastructure to support product engineering teams. Establish robust observability, capacity planning, and operational standards while mentoring mid-level engineers.
You will design and implement low-latency trading, pricing, and risk systems while collaborating with quants and traders to translate mathematical models into production-quality software. Additionally, you will be responsible for building robust market data pipelines, optimizing critical-path code, and maintaining comprehensive technical documentation.
The AWS Solutions Architect will design, deploy, and operate enterprise-grade cloud environments while managing infrastructure-as-code and CI/CD pipelines. They will also collaborate with security and SRE teams to ensure scalable, resilient, and cost-optimized cloud-native solutions.
The role involves designing, building, and managing enterprise integration solutions on the MuleSoft Anypoint Platform. You will collaborate with cross-functional teams to translate requirements into well-engineered, secure, and reusable integration assets.
The Backend Solutions Architect will design, build, and operate large-scale, high-throughput distributed systems to support mission-critical workloads. They will lead architecture reviews, mentor engineering staff, and drive reliability improvements in partnership with SRE and platform teams.
Design and build software tooling, firmware, and infrastructure to support semiconductor design, verification, and post-silicon validation. Collaborate with hardware engineers to optimize software for performance and scalability within compute-intensive workflows.
The Cloud Solutions Engineer will design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. Responsibilities include managing the end-to-end cloud engineering lifecycle, including infrastructure-as-code, automation, security hardening, and cost optimization.
The Application Security Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems and identify vulnerabilities. They will also drive vulnerability management workflows, perform security architecture reviews, and lead red-team exercises to reduce risk across the application portfolio.
The role involves designing and evaluating applied AI solutions across various domains while bridging the gap between research and production engineering. You will be responsible for building scalable ML pipelines, optimizing model performance, and ensuring alignment with business needs and safety standards.
Design and implement high-performance backend services and cloud-native applications using Go. Collaborate with cross-functional teams to build infrastructure tooling, Kubernetes controllers, and scalable APIs while mentoring junior engineers.
The OCI Solutions Architect will design, deploy, and manage enterprise-grade cloud environments, including landing zones, networking, and storage. They will also implement infrastructure-as-code, CI/CD pipelines, and security protocols while mentoring junior staff.
The consultant will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support using the Boomi AtomSphere platform. They will collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
Design and implement high-performance CUDA kernels to optimize compute-intensive workloads for AI and HPC applications. Collaborate with cross-functional teams to profile, benchmark, and improve performance across GPU platforms.
The Generative AI Specialist will define and lead the strategy, patterns, and tooling for prompt engineering, agentic workflows, and LLM-based application architectures. They will also develop evaluation frameworks, establish safety guardrails, and mentor engineering teams on best practices for LLM integration.
Architect end-to-end IIoT solutions that integrate edge devices, industrial protocols, and cloud platforms for data-driven industrial systems. Collaborate with cross-functional teams to build secure data pipelines, real-time analytics, and operational dashboards while mentoring junior engineers.
The specialist will design and execute fine-tuning workflows for large language models using supervised and reinforcement learning techniques. They will also lead dataset construction, manage training pipelines on GPU clusters, and collaborate with cross-functional teams to operationalize model performance.
The Salesforce Developer will design and build production-grade solutions using Apex, Lightning Web Components, and Flow. They are responsible for delivering custom business logic, integrations, and automation while ensuring platform maintainability.
The role focuses on optimizing end-to-end AI training and inference pipelines to maximize throughput, minimize latency, and reduce costs. You will implement advanced techniques like model quantization, distributed sharding, and compiler-level optimizations to improve production AI performance.
The Integration Platform Developer will design, develop, and manage enterprise-scale integration solutions using the Dell Boomi AtomSphere platform. This role involves driving API strategy, event-driven architecture, and platform modernization while collaborating with cross-functional teams.
Design and develop integration flows in Oracle Integration Cloud to connect Oracle Cloud Applications with on-premises and third-party systems. Manage the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
The architect will design, develop, and maintain enterprise-grade web applications and distributed systems across the full engineering lifecycle. They will collaborate with cross-functional teams to deliver secure, performant, and scalable cloud-native solutions.
Design and develop enterprise integration scenarios using PeopleSoft Integration Broker, including service operations, queues, and web services. Collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship and technical documentation.
Design and develop advanced Java customizations within the Windchill platform, including services, listeners, and processors. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while maintaining system performance and upgradeability.
The consultant will design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud-based systems. They will manage the full integration lifecycle, including requirements analysis, development, testing, deployment, and post-go-live support.
The Python Software Architect will design, build, and enhance complex enterprise-grade applications and data-intensive services. They will collaborate with cross-functional teams to translate business problems into scalable technical solutions while ensuring operational stability.
The developer will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities include the full engineering lifecycle from requirements analysis and architectural design to implementation, deployment, and post-release support.
The consultant will design, develop, and support customizations, integrations, and enhancements for enterprise PeopleSoft applications. They will also partner with functional consultants to ensure technical implementations meet quality, security, and maintainability standards.
The developer will design, develop, and support customizations, integrations, and enhancements for enterprise PeopleSoft applications. They will own the technical implementation of business requirements while ensuring quality, security, and maintainability standards.
The Salesforce Technical Architect will design and govern enterprise-level Salesforce implementations across multiple clouds. They will drive technical strategy, establish standards for security and integration, and collaborate with stakeholders to deliver scalable solutions.
The PTC Solutions Developer will design, develop, and support customizations and integrations on the Windchill PLM platform. They will collaborate with cross-functional stakeholders to translate requirements into engineered solutions while mentoring junior engineers.
The Kafka Platform Engineer will architect, deploy, and manage enterprise-scale streaming platforms using Apache Kafka and the Confluent Platform. They will also collaborate with cross-functional teams to establish event-driven architecture standards and ensure high availability and performance of streaming pipelines.
The consultant will design and execute large-scale data migration strategies for SAP S/4HANA environments, managing the full lifecycle from extraction to cutover. They will also collaborate with functional teams to ensure data accuracy, compliance, and performance optimization during system transitions.
Design and develop side-by-side extensions and standalone applications on SAP BTP using CAP and modern UI frameworks. Collaborate with functional teams to integrate these solutions with SAP S/4HANA while adhering to clean-core principles.
The Salesforce Integration Architect will design and govern end-to-end integration architecture between Salesforce and the broader enterprise application landscape. This role involves selecting middleware, defining API strategies, and mentoring junior engineers to ensure reliable, scalable system performance.
The SAP Database Engineer will design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. They will also serve as the primary expert for diagnosing and resolving performance issues across the SAP landscape.
The developer will design, build, and enhance modern SAP Fiori applications to meet enterprise standards for usability and performance. They will own the full development lifecycle while collaborating with functional consultants and UX teams to deliver responsive solutions.
The ServiceNow Architect will lead the design, governance, and long-term evolution of the ServiceNow platform across multiple modules including ITSM, ITOM, and SecOps. They are responsible for establishing architectural standards, driving CMDB strategy, and ensuring the platform remains scalable and secure.
The SAP System Administrator is responsible for the architecture, installation, configuration, and performance tuning of complex SAP landscapes across on-premises and cloud environments. This role also involves managing SAP HANA databases, executing system migrations, and providing 24x7 on-call support for production systems.
The SAP GRC Specialist will design, implement, and operate security and access-control frameworks across complex SAP landscapes including S/4HANA and BTP. Responsibilities include managing SAP role structures, performing segregation-of-duties analysis, and supporting internal and external audits.
The Technical Solutions Architect will design and govern enterprise-grade application architectures across cloud, integration, and data domains. They will partner with stakeholders to translate strategic objectives into scalable technology solutions while leading architecture reviews and establishing standards.
The PLM Integration Engineer will design, build, and maintain integrations between PTC Windchill and various enterprise systems including ERP, MES, and CAD. They will also lead migration efforts, perform code reviews, and provide technical mentorship to junior team members.
The Site Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems through automation and robust infrastructure design. Responsibilities include leading incident response, defining service-level objectives, and architecting scalable Kubernetes environments.
The Software Test Engineer will design, build, and improve automation frameworks while writing production-quality test code. They will partner with cross-functional teams to embed quality engineering throughout the SDLC and mentor junior engineers.
Design and develop ServiceNow solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. Build integrations, workflows, and portal experiences while maintaining platform performance and upgrade-safe code.
The Senior Backend Developer will design, build, and enhance complex enterprise-grade Python applications and data-intensive services. They will collaborate with cross-functional teams to translate business problems into scalable technical solutions while ensuring system reliability and performance.
Design and build robust, scalable test automation frameworks for web, API, mobile, and microservice testing. Collaborate with cross-functional teams to embed quality engineering practices throughout the software development lifecycle.
The PLM Solutions Engineer will own the technical operation, installation, and configuration of PTC Windchill or Siemens Teamcenter platforms. They will lead upgrades, migrations, and performance tuning while collaborating with engineering and manufacturing teams to ensure a reliable and secure ecosystem.
Design, develop, and maintain complex Workday integrations using EIB, Studio, and various APIs to connect with enterprise systems. Collaborate with cross-functional stakeholders to translate business requirements into well-engineered solutions while ensuring system reliability and security.
The specialist will own the technical operation of the PLM platform, including installation, configuration, performance tuning, and upgrades. They will also partner with functional, engineering, and manufacturing teams to ensure a reliable, performant, and secure PLM ecosystem.
Lead the design and execution of complex, cross-team engineering initiatives while setting architectural standards. Mentor senior engineers and partner with cross-functional stakeholders to drive technical roadmaps and operational excellence.
The AI Data Engineer will design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. They will also build ingestion systems for diverse modalities and implement data quality assurance at petabyte scale.
The AI Systems Performance Specialist will optimize AI training and inference pipelines for maximum throughput, scalability, and cost efficiency. They will also lead performance optimization initiatives, profile AI applications to identify bottlenecks, and mentor engineering teams on AI systems architecture.
The engineer will design, build, and maintain infrastructure-as-code foundations using Terraform across cloud and hybrid environments. They are responsible for creating reusable modules, implementing automation pipelines, and enforcing policy-as-code to ensure secure and compliant infrastructure delivery.
The Conversational AI Engineer will design, develop, and deploy enterprise-scale AI applications using Large Language Models and agentic workflows. They will also establish engineering standards, evaluation frameworks, and governance practices to ensure scalable and secure production-ready solutions.
The Cloud-Native Architect will lead the modernization of enterprise-scale applications using microservices, Kubernetes, and cloud-native technologies. They are responsible for defining architecture standards, driving engineering excellence, and mentoring technical teams.
The Applied AI Engineer will design, develop, and deploy enterprise-scale AI and machine learning solutions to address complex business challenges. They will also architect scalable MLOps pipelines and mentor junior engineers while driving continuous innovation in AI technologies.
The Cloud Infrastructure Engineer will architect, deploy, and operate secure, scalable, and highly available AWS cloud environments for enterprise production workloads. This role involves leading cloud initiatives, implementing Infrastructure as Code, and driving operational excellence through automation and observability.
The Mule ESB Developer will design, develop, and maintain enterprise-scale integration solutions using the MuleSoft Anypoint Platform and API-led connectivity principles. This role involves leading architecture reviews, mentoring engineering teams, and ensuring the scalability and security of complex integration landscapes.
Design, develop, and maintain advanced Java customizations within the PTC Windchill platform to support enterprise PLM solutions. Lead modernization initiatives, perform architecture reviews, and mentor development teams to ensure high-quality, scalable, and maintainable engineering standards.
The Parallel Computing Engineer will design, develop, and optimize high-performance CUDA kernels and distributed training architectures for AI and scientific computing. They will also collaborate with researchers to accelerate production AI applications and mentor engineering teams on HPC best practices.
The AI Infrastructure Engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, optimizing distributed training frameworks, and ensuring high performance and reliability for ML researchers.
The NLP AI Engineer will design, fine-tune, and deploy enterprise-scale Large Language Models using advanced techniques like RLHF and DPO. They will also architect distributed training pipelines and develop evaluation frameworks to ensure model accuracy and operational excellence.
The consultant will design, install, and optimize enterprise PTC Windchill and Siemens Teamcenter environments while leading modernization and upgrade initiatives. They will also manage system integrations, ensure high availability, and provide technical leadership to engineering and IT teams.
The consultant will design, develop, and implement advanced PTC Windchill customizations and enterprise integrations. They will also lead technical design reviews, mentor development teams, and ensure adherence to best practices for scalable PLM solutions.
The Observability Engineer will design and operate enterprise-grade platforms for metrics, logging, tracing, and alerting to ensure system reliability. They will also develop standards for service instrumentation and drive operational improvements through SLOs and incident response readiness.
The IT Solutions Consultant will design and govern enterprise-grade technology solutions across cloud, data, and integration platforms. They will collaborate with stakeholders to translate business objectives into scalable, secure, and maintainable technology roadmaps.
Design, develop, and maintain enterprise-grade integrations between PTC Windchill and various business-critical applications including ERP and CAD systems. Lead technical design reviews, optimize integration performance, and collaborate with cross-functional teams to deliver scalable PLM solutions.
The Quantitative Engineer will build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. They will partner with quants and traders to translate mathematical models into production-quality software while mentoring junior engineers.
You will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical event-driven workloads. Additionally, you will own the platform end-to-end, including cluster sizing, security, automation, and developer enablement.
Design, develop, and deploy advanced reinforcement learning solutions for complex decision-making and autonomous systems. Architect scalable training pipelines and integrate models into production while ensuring reliability and safety.
The Hadoop Big Data Developer will design, build, and operate large-scale data processing pipelines and analytics platforms. Responsibilities include ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning.
The engineer will design, build, and operate high-throughput platform services including request routing, traffic management, and event processing. They will focus on creating scalable backend capabilities that support other engineering teams while maintaining high performance and reliability.
Design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
Design and build software tooling, firmware, and infrastructure to support semiconductor design, verification, and post-silicon validation. Collaborate with cross-functional teams to accelerate silicon development cycles and improve performance and quality.
Design and develop integrations between Coupa and enterprise systems such as ERP, finance, and payroll. Manage integration performance, security, and data synchronization while maintaining comprehensive technical documentation.
Design, build, and integrate software systems for autonomous robots and robotic platforms across the full software stack. Collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
The OpenShift Platform Engineer will architect, deploy, and operate enterprise-grade Red Hat OpenShift clusters across on-premises and cloud environments. They will manage the end-to-end platform lifecycle, including cluster provisioning, security hardening, and developer enablement.
Design, develop, and maintain enterprise-scale ETL/ELT pipelines to support data integration, analytics, and cloud modernization initiatives. Collaborate with cross-functional teams to automate workflows and ensure the delivery of high-quality, trusted data across the organization.
The Lead Software Architect will define enterprise-wide technology strategy and design highly scalable, resilient, cloud-native distributed systems. They will also mentor senior engineering staff and drive platform modernization initiatives across the organization.
The developer will manage the architecture, installation, and ongoing technical operation of enterprise PeopleSoft environments. They are responsible for leading upgrades, patch deployments, and ensuring system stability through proactive monitoring and automation.
The engineer will automate network configuration, change management, and observability across multi-vendor enterprise networks using Python and infrastructure-as-code practices. They will collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior staff.
The Microsoft Azure Specialist will design, implement, and maintain secure, scalable, and highly available enterprise-grade Azure cloud infrastructure. They will also lead cloud modernization, automation, and DevSecOps initiatives while providing technical leadership and mentoring to engineering teams.
Design, deploy, and operate cloud networking infrastructure including VPC/VNet, hybrid connectivity, and transit topologies. Partner with cross-functional teams to implement security controls, automate network tasks using Terraform, and ensure high availability and observability.
The Foundation Model Engineer will design, execute, and operationalize fine-tuning workflows for large language models using supervised and reinforcement learning approaches. They will collaborate with cross-functional teams to translate requirements into production-grade solutions while maintaining high engineering standards.
Design, develop, and deploy connected, data-driven industrial systems that integrate factory-floor operations with enterprise and cloud platforms. Lead technical initiatives and mentor engineering teams while architecting scalable and secure connected solutions.
The SAP ABAP Developer will design, develop, and support custom enhancements, integrations, and reports within large enterprise S/4HANA landscapes. This role involves the full development lifecycle, including technical design, coding, performance tuning, and collaboration with functional consultants.
The developer will design and build enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. They will also manage backend C#/.NET development, headless implementations, and platform migrations while optimizing performance for high-traffic sites.
The Cloud Architect will design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. They will also lead cross-cloud networking, identity management, and FinOps practices to ensure operational consistency and security.
The Storage Engineer will design, deploy, and operate enterprise storage foundations supporting compute, virtualization, database, and Kubernetes workloads. The role involves managing block, file, and object storage across data center, edge, and cloud environments while focusing on performance and cost.
Design and operate service mesh platforms like Istio and Linkerd across multi-cluster Kubernetes environments. Develop adoption patterns and observability tools to ensure secure, reliable service-to-service communication.
The role involves designing, building, and enhancing complex enterprise-grade Python applications and data-intensive services. You will collaborate with cross-functional teams to translate business problems into scalable technical solutions while ensuring operational stability.
The developer will design and maintain enterprise-grade digital experiences using AEM Sites, Assets, and AEM as a Cloud Service. Responsibilities include building backend logic, front-end components, and integrating AEM with Adobe Experience Cloud and external systems.
The Senior Workday Developer will design and develop complex configurations, custom reports, and Workday Extend applications to support HR and Finance stakeholders. They will also manage business processes, security models, and collaborate with cross-functional teams to ensure system performance and data integrity.
The VMware Engineer will design, deploy, and operate virtualization, software-defined networking, and storage platforms across on-premises and hybrid cloud environments. Responsibilities include managing Tanzu Kubernetes Grid, implementing automation for infrastructure, and ensuring business continuity through disaster recovery strategies.
The developer will design, develop, and support customizations and integrations for enterprise PeopleSoft applications including HCM, FSCM, and Campus Solutions. They are responsible for technical implementation, performance tuning, and providing post-go-live support to ensure system stability.
The Staff Applications Engineer will lead the architecture and design of large-scale, cross-functional engineering initiatives while providing technical leadership to multiple teams. They are responsible for defining engineering standards, mentoring senior engineers, and ensuring the scalability and reliability of mission-critical systems.
The developer will design and implement configurations and integrations across the Guidewire InsuranceSuite, including PolicyCenter, BillingCenter, and ClaimCenter. They will also collaborate with cross-functional teams to troubleshoot production issues and support Guidewire Cloud platform upgrades.
Design and develop enterprise integration scenarios using PeopleSoft Integration Broker, including REST and SOAP web services. Lead migration efforts from legacy integrations to standardized patterns while providing post-go-live support and mentorship to junior engineers.
The Oracle Cloud Security Engineer will design, implement, and operate security controls across Oracle Cloud Infrastructure and hybrid environments. They will also lead vulnerability and compliance programs while collaborating with cross-functional teams to harden cloud workloads.
Design, build, and optimize HANA-native data models and analytical objects to support S/4HANA and BW/4HANA platforms. Lead performance reviews, resolve bottlenecks, and mentor junior developers on best practices.
Design and develop integration flows in Oracle Integration Cloud to connect Oracle Cloud Applications with on-premises and third-party systems. Manage the full integration lifecycle including analysis, development, testing, deployment, and ongoing support.
The OCI Cloud Engineer will architect, deploy, and operate large-scale, secure cloud environments on Oracle Cloud Infrastructure. This role involves managing the full engineering lifecycle, including landing-zone design, infrastructure-as-code implementation, and ongoing operational support.
The developer will design, build, and operate enterprise integration solutions on the MuleSoft Anypoint Platform. They will own the integration lifecycle, including API design, flow development, deployment, and ongoing optimization.
Design and develop modern, responsive SAP Fiori applications using SAPUI5, Fiori elements, and OData services. Collaborate with cross-functional teams to ensure high performance, usability, and adherence to SAP security and design guidelines.
The SAP Basis Administrator is responsible for the architecture, installation, configuration, and performance tuning of complex SAP landscapes across on-premises and cloud environments. This role also involves managing SAP HANA databases, executing system migrations, and providing 24x7 support for mission-critical systems.
The developer will design and operate enterprise-grade microservices and build front-end applications using React. They will also be responsible for managing CI/CD workflows and deploying applications to cloud platforms.
The engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes including S/4HANA and BTP. Responsibilities include managing SAP role structures, performing segregation-of-duties analysis, and supporting internal audits.
The consultant will design and execute end-to-end data migration strategies for SAP S/4HANA environments, including extraction, transformation, and validation. They will also collaborate with functional teams to ensure data accuracy and compliance while managing system landscape configurations.
Design and develop side-by-side extensions and standalone applications on SAP BTP using CAP and modern UI frameworks. Collaborate with functional teams to implement clean-core extensions and manage event-driven integrations.
Design, develop, and maintain end-to-end integration scenarios using SAP Integration Suite and CPI to connect SAP and non-SAP systems. Manage the full integration lifecycle including requirements analysis, interface design, deployment, and post-go-live support.
The QA Automation Engineer will design, develop, and maintain automated testing frameworks for enterprise web, API, and distributed systems. They will partner with development teams to expand test coverage and integrate automation into CI/CD pipelines to accelerate software delivery.
The Staff Software Engineer will lead complex, cross-team engineering initiatives and influence engineering culture and standards. They are responsible for designing scalable systems and providing technical leadership and mentorship to senior engineers.
The Senior Backend Developer will design, build, and operate foundational platform services including request routing, traffic management, and asynchronous job execution. This role involves leading multi-quarter platform initiatives to improve engineering standards and developer experience across the organization.
The SDET Engineer will design, build, and improve automation frameworks while writing production-quality test code. They will collaborate with cross-functional teams to embed quality engineering throughout the software development lifecycle.
The Senior Backend Engineer will design, build, and operate large-scale, high-throughput backend services that power mission-critical workloads. They will architect core platforms focusing on scalability, reliability, performance, and clean engineering practices.
The SAP HANA Engineer will design, build, and optimize HANA-native data models and analytical objects to support S/4HANA and BW/4HANA platforms. They will also lead performance reviews, implement security models, and collaborate with cross-functional teams to ensure system efficiency.
The SAP Security & GRC Engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes. Responsibilities include managing SAP role design, user provisioning, segregation-of-duties analysis, and technical operation of SAP GRC suites.
The SAP Basis Administrator is responsible for the architecture, installation, configuration, and performance tuning of complex SAP landscapes. This role ensures the availability, security, and compliance of mission-critical SAP systems across on-premises and cloud environments.
The SAP BTP Developer will design, build, and operate extensions, side-by-side applications, and integration scenarios on SAP’s Business Technology Platform. They will leverage BTP services to deliver clean-core extensions for SAP S/4HANA and other enterprise applications.
Design and build software tooling, firmware, and infrastructure to support semiconductor design, verification, manufacturing, and post-silicon validation. Collaborate with cross-functional teams to accelerate silicon development cycles and improve performance and quality.
The SAP CPI Developer will design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud-based systems. They will own the full integration lifecycle, including requirements analysis, development, testing, deployment, and post-go-live support.
The consultant will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This includes managing the full migration lifecycle from extraction and transformation to validation and cutover.
Design, deploy, and operate VMware-based virtualization, software-defined networking, and software-defined storage platforms. Manage capacity and automation across on-premises and hybrid cloud environments.
The developer will deliver configuration, integration, and customization across the Guidewire InsuranceSuite and Guidewire Cloud. They will work with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
The Coupa Technical Specialist will design, develop, and maintain integrations between Coupa BSM and various enterprise systems including ERP, finance, and HR. The role involves translating business requirements into engineered solutions and providing technical mentorship to junior team members.
The Service Infrastructure Engineer will design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. The role involves managing platform engineering tasks, traffic policies, and observability across the Kubernetes estate.
The developer will design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. They are responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning.
The Automation Network Specialist will automate network configuration, change management, and observability across multi-vendor enterprise networks. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions using modern network APIs and infrastructure-as-code practices.
The Platform Infrastructure Engineer will design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms across on-premises and cloud environments. Responsibilities include managing the end-to-end platform lifecycle, from cluster provisioning and hardening to workload onboarding and continuous operational improvement.
The Solutions Engineering Architect will design and govern cloud-native solutions across compute, networking, data, identity, and security domains. They will partner with business stakeholders and engineering teams to translate strategic objectives into scalable, cost-effective cloud architectures.
The developer will build and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Responsibilities include backend C#/.NET development, front-end work, content modeling, and managing platform migrations.
The developer will build and maintain enterprise-grade digital experiences using AEM Sites, Assets, and AEM as a Cloud Service. Responsibilities include developing components, templates, workflows, and integrations while ensuring high performance and maintainability.
The Storage Systems Engineer will design, deploy, and operate enterprise storage foundations supporting compute, virtualization, database, and Kubernetes workloads. The role involves managing block, file, and object storage across data center, edge, and cloud environments with a focus on performance and cost.
The developer will design, develop, and support custom enhancements, integrations, and reports within large enterprise SAP landscapes. This role involves the full development lifecycle, including technical design, coding, unit testing, and performance tuning in collaboration with stakeholders.
The Workday Platform Engineer will manage technical configuration, custom report design, and integration support to enhance HR, finance, and IT operations. They will also collaborate with cross-functional teams to translate business requirements into maintainable solutions and mentor junior engineers.
The Cross-Cloud Architect will design strategies and reference architectures that span multiple cloud providers to ensure portability and abstraction. The role focuses on managing complex cloud environments, including federated identity, networking, and platform offerings to simplify cloud-specific complexities for product teams.
The Cloud Systems Architect will design and govern cloud-native solutions across compute, networking, data, identity, and security domains. They will lead architecture reviews, define cloud landing zones, and drive cost optimization and modernization initiatives.
The Enterprise Integration Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. This role involves defining API strategies, selecting middleware, and collaborating with cross-functional teams to deliver scalable, production-ready solutions.
The Workday API Developer will design, develop, and maintain integrations between Workday and the broader enterprise application landscape. The role focuses on hands-on integration delivery using various Workday tools while ensuring reliability, security, and data quality.
Design and build production-grade Salesforce solutions using Apex, Lightning Web Components, and Flow. Manage custom business logic, integrations, and automation while ensuring platform maintainability.
The engineer will architect, deploy, and operate large-scale, secure cloud environments on Oracle Cloud Infrastructure. They will manage the full engineering lifecycle, including infrastructure-as-code, workload migration, cost optimization, and observability.
The Big Data Architect will design and lead enterprise-scale data platforms, including lakehouse, warehouse, and streaming solutions. They will also define architecture standards, optimize platform performance, and mentor engineering teams.
The developer will design and build high-performance trading, pricing, and risk management systems for fintech applications. They will also collaborate with quantitative researchers and traders to maintain system reliability and optimize performance.
The Data Engineering Specialist will build and operate large-scale data systems to support AI training and evaluation pipelines. This role involves managing data ingestion, transformation, quality assurance, and high-throughput delivery for diverse AI workloads.
The engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. They will apply software engineering principles to infrastructure to reduce operational toil and improve platform reliability.
The PeopleTools Consultant is responsible for the architecture, installation, configuration, and ongoing technical operation of enterprise PeopleSoft environments. This role involves managing PeopleTools upgrades, security configurations, and integrating with cloud and middleware platforms.
The Infrastructure Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform for cloud and hybrid environments. Responsibilities include creating reusable modules, hardening pipelines, and enforcing policy-as-code across multiple teams.
The Lead Java Full Stack Engineer will architect, design, and develop enterprise-grade web applications and distributed systems. They are responsible for the end-to-end engineering lifecycle, including technical design, production-quality coding, and cloud-native service deployment.
The SAP Basis Consultant will design, build, and operate extensions and integration scenarios on SAP’s Business Technology Platform. They will leverage BTP services to deliver clean-core extensions for SAP S/4HANA and other enterprise applications.
The SAP Integration Developer will design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud systems. They will own the full integration lifecycle, including requirements analysis, interface design, development, testing, deployment, and post-go-live support.
The SAP UI5 Developer will design, build, and enhance modern, responsive Fiori applications for desktop, tablet, and mobile devices. They will own the full development lifecycle while collaborating with functional consultants, ABAP developers, and UX teams.
The developer will design, build, and operate extensions and integration scenarios on the SAP Business Technology Platform. They will leverage various BTP services to deliver clean-core extensions for SAP S/4HANA and other enterprise applications.
The Lead Python Engineer will design, build, and enhance complex enterprise-grade applications and data-intensive services. They will collaborate with product and infrastructure teams to translate business problems into robust, high-performance technical solutions.
The Telemetry Engineer will design, implement, and manage enterprise observability platforms to provide actionable insights. They will utilize metrics, logs, traces, and alerting to support large-scale cloud environments.
The OIC Developer will design, build, and operate enterprise integration scenarios connecting Oracle Cloud Applications with on-premises and third-party systems. They will own the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
The SAP Migration Specialist will design and execute large-scale data migration initiatives within SAP S/4HANA environments. This role manages the full data lifecycle, including extraction, transformation, validation, and cutover from legacy systems.
The Salesforce Platform Architect will design and govern enterprise Salesforce implementations across multiple clouds. They will drive technical strategy, set standards for security and integration, and collaborate with business stakeholders to deliver scalable solutions.
The Oracle Security Engineer will design, implement, and operate security controls across Oracle Cloud Infrastructure and hybrid environments. They will also lead vulnerability and compliance programs while collaborating with cross-functional teams to engineer secure solutions.
The consultant will design, implement, and operate security and access-control frameworks for complex SAP landscapes including S/4HANA and BTP. Responsibilities include managing SAP role design, user provisioning, segregation-of-duties analysis, and supporting audit and compliance activities.
The consultant will design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. They will also serve as the primary expert for diagnosing and resolving performance issues across the SAP landscape.
The ServiceNow Platform Architect will lead the design, governance, and long-term evolution of the platform across multiple modules including ITSM, ITOM, and HRSD. They are responsible for defining data standards, managing integrations, and ensuring the platform remains scalable and aligned with business priorities.
The ServiceNow Technical Consultant will build and maintain solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. The role involves hands-on configuration and development, including workflows, scripting, integrations, and platform extensions.
Design, build, and operate enterprise integrations connecting PeopleSoft applications to internal systems, cloud applications, and third-party platforms. Collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
The developer will design, develop, and support customizations, integrations, and enhancements for enterprise PeopleSoft applications. They will own the technical implementation of business requirements while partnering with functional consultants to ensure quality and maintainability.
The Kafka Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. Responsibilities include managing cluster configuration, security, automation, observability, and mentoring junior team members.
The developer will design, develop, and support customizations and integrations on the Windchill PLM platform. They will also collaborate with cross-functional teams to translate business requirements into technical solutions while mentoring junior engineers.
The developer will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities span the full engineering lifecycle, including architectural design, implementation, deployment, and post-release support.
Design and implement low-latency trading, pricing, and risk systems while translating quantitative models into production-quality software. Collaborate with traders and quants to build robust market data pipelines and ensure system observability and performance optimization.
The Senior Backend Developer will design, build, and operate foundational platforms and shared services to support high-throughput traffic. Responsibilities include managing request routing, caching layers, asynchronous job execution, and durable event processing.
Design and develop robust integrations between PTC Windchill and enterprise systems like ERP, MES, and CAD using middleware platforms. Provide technical leadership through code reviews, mentorship, and post-go-live support to ensure system stability and performance.
The Robotics Software Engineer will design, build, and integrate software systems for autonomous robots, covering the full stack from sensor integration to behavioral systems. They will collaborate with cross-functional teams to develop robust algorithms and mentor junior engineers to ensure high-quality production code.
The AWS Platform Specialist will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This role involves hands-on engineering across architecture, infrastructure-as-code, automation, security, and observability for mission-critical production workloads.
The AI Innovation Engineer will design and deploy advanced machine learning systems that bridge applied research and production engineering. This role involves managing the full lifecycle of AI projects, from problem framing and experimentation to scalable deployment and continuous improvement.
The Azure Platform Engineer will design, deploy, and manage large-scale, secure cloud platforms on Microsoft Azure. Responsibilities include owning the end-to-end cloud engineering lifecycle, including infrastructure-as-code, automation, security hardening, and cost optimization.
The AI Interaction Engineer will define and lead the strategy, patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures. The role involves building reusable design patterns and evaluation frameworks that scale across multiple teams and use cases.
Design, build, and operate high-performance inference platforms for serving large machine learning models in production. Manage request routing, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.
Design, develop, and maintain high-performance distributed data processing applications using Apache Spark. Collaborate with cross-functional teams to build scalable batch and real-time ETL pipelines for enterprise analytics and cloud-based platforms.
The Machine Learning Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. They will be responsible for taking RL solutions from research environments into production while ensuring stability and safety.
The High-Performance Computing Engineer will design and optimize compute-intensive workloads on modern accelerator hardware for AI and scientific computing. They will collaborate with cross-functional teams to translate requirements into high-performance solutions while mentoring junior engineers.
Design, develop, and maintain firmware and embedded software for various connected devices and industrial systems. Collaborate with cross-functional teams to ensure hardware-software integration, system reliability, and performance optimization.
Architect end-to-end IIoT solutions including edge data acquisition, secure connectivity, and cloud ingestion. Collaborate with cross-functional teams to translate requirements into well-engineered systems while mentoring junior engineers.
Lead the design and evolution of large-scale microservices ecosystems using modern container platforms and cloud-native stacks. Provide architectural leadership for complex transformations while ensuring system resilience, observability, and maintainability.
The OIC Platform Engineer will architect, deploy, and manage large-scale cloud environments on Oracle Cloud Infrastructure. This role involves overseeing the full engineering lifecycle, including infrastructure-as-code, workload migration, and ongoing operational support.
The Model Optimization Engineer will focus on maximizing throughput, minimizing latency, and reducing costs for large neural network systems. They will work across the full stack, from low-level kernel optimization to distributed system tuning, while collaborating with cross-functional teams.
The Systems Architect will design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, and data domains. This role involves partnering with business stakeholders and engineering leaders to translate strategic objectives into scalable, maintainable technology solutions.
The Principal Engineer will lead enterprise-wide architectural initiatives and define long-term technology strategy for scalable, resilient distributed systems. This role involves serving as a technical authority across multiple teams while mentoring senior engineers to elevate organizational technical standards.
The SAP MM Consultant will lead the implementation, enhancement, and support of enterprise SAP Materials Management solutions to streamline procurement and supply chain operations. They will collaborate with cross-functional teams to design, configure, and optimize SAP S/4HANA solutions while ensuring seamless integration across various business modules.
The SAP SD Consultant will lead the implementation, enhancement, and support of enterprise SAP Sales and Distribution solutions across complex Order-to-Cash business processes. They will collaborate with cross-functional teams to design and configure scalable solutions that improve operational efficiency and support digital transformation.
The Data Platform Engineer will design, build, and operate high-performance inference platforms for serving large machine learning models in production. Responsibilities include managing request routing, batching, caching, autoscaling, and ensuring end-to-end observability across diverse model workloads.
The AI Research Engineer will design and ship advanced machine learning systems that bridge cutting-edge research with production engineering. This role involves managing the full lifecycle of AI projects, from problem framing and experimentation to deployment and continuous improvement.
The AI Applications Engineer will design, execute, and operationalize fine-tuning workflows for large language models using various learning approaches. They will collaborate with cross-functional teams to translate requirements into engineered solutions while maintaining high standards for code and design.
The AI Infrastructure Engineer will focus on maximizing throughput and minimizing latency for large neural network systems. They will collaborate with cross-functional teams to translate requirements into optimized, well-engineered solutions for production AI workloads.
Design, train, and deploy reinforcement learning systems for complex decision-making problems. Ensure the stability, safety, and ongoing improvement of RL solutions in production environments.
The Prompt Engineering Architect will define and lead the strategy, patterns, and tooling for designing prompts and agentic workflows. They are responsible for building reusable design patterns and evaluation frameworks that scale across the organization.
The Senior AWS Consultant will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This role involves hands-on engineering across architecture, infrastructure-as-code, automation, and continuous operational improvement of production workloads.
The Enterprise Integration Architect will lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. This role involves managing distributed data, ensuring system resilience, and providing architectural leadership across complex organizational transformations.
The Application Architect will design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, and data domains. This role involves partnering with business stakeholders and engineering leaders to translate strategic objectives into scalable and maintainable technology solutions.
The Senior Azure Engineer will design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. Responsibilities include managing the end-to-end cloud lifecycle, including infrastructure-as-code, automation, security hardening, and operational excellence.
Architect and build end-to-end Industrial IoT solutions including edge data acquisition, cloud ingestion, and real-time analytics. Collaborate with cross-functional teams to translate requirements into well-engineered systems while mentoring junior engineers.
The Senior Principal Engineer will lead enterprise-wide architectural initiatives and define long-term technology strategy for scalable distributed systems. This role involves serving as a technical authority across multiple teams while mentoring senior engineers to elevate organizational technical standards.
Design and build software tooling, firmware, and infrastructure to support semiconductor development, verification, and manufacturing. Partner with cross-functional teams to translate requirements into well-engineered solutions and mentor junior engineers.
The developer will design and build low-latency trading, pricing, and risk management systems for fintech applications. They will also collaborate with quantitative and engineering teams to maintain system reliability and optimize performance.
The Senior API Developer will design, build, and operate large-scale, high-throughput backend services for mission-critical workloads. They will architect core platforms focusing on scalability, reliability, performance, and clean engineering practices.
The developer will design, develop, and integrate software for autonomous robotic systems using C++ and Python. They will also implement perception, localization, SLAM, and motion planning algorithms while collaborating with cross-functional teams.
The Senior Server-Side Engineer will design, build, and operate foundational platform services including request routing, traffic management, and caching layers. This role involves creating high-throughput backend capabilities that ensure predictable latency and minimal operational toil for other engineering teams.
The QA Automation Developer will design, develop, and maintain scalable test automation frameworks for web, API, mobile, and microservices applications. They will also collaborate with developers to identify quality risks, improve test coverage, and manage CI/CD test pipelines.
The Software Quality Engineer will design, develop, and maintain automated testing frameworks for enterprise web, API, and distributed systems. They will partner with development teams to expand test coverage and integrate automation into CI/CD pipelines.
Design and develop scalable, cloud-native backend services and APIs using Go. Implement performance optimizations, testing, monitoring, and CI/CD pipelines while collaborating with engineering teams.
The AI Systems Engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, distributed training frameworks, and ensuring high reliability and efficiency for ML infrastructure.
The engineer will design, build, and maintain infrastructure-as-code foundations using Terraform across cloud and hybrid environments. They are responsible for creating reusable modules, hardening pipelines, and enforcing policy-as-code standards.
The AI Security Engineer will lead the design and implementation of security controls and threat models for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within AI infrastructure and applications.
Design, optimize, and deploy machine learning models for resource-constrained edge devices and specialized accelerators. Ensure reliable AI capabilities are shipped outside the data center while managing compute, memory, and energy constraints.
The AppSec Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They will identify vulnerabilities and implement security improvements to reduce risk across the application portfolio.
The Salesforce API Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. This role involves collaborating with cross-functional teams to translate requirements into well-engineered solutions while providing technical mentorship and code reviews.
The Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. They will apply software engineering principles to infrastructure problems to push the platform toward higher reliability and lower operational toil.
The Salesforce CRM Developer will design and build production-grade solutions using Apex, Lightning Web Components, and Flow. They are responsible for delivering custom business logic, integrations, and automation while ensuring platform maintainability.
The Monitoring Engineer will design and operate metrics, logging, tracing, and alerting platforms to ensure system reliability. This role involves managing the full observability stack, from collection pipelines to actionable insights for engineering teams.
The engineer will design, develop, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities include the full engineering lifecycle from requirements analysis and architectural design to deployment and post-release support.
Lead the design, governance, and long-term evolution of the ServiceNow platform across multiple modules. Drive standards for data, integration, and security to ensure the platform remains scalable and aligned with business priorities.
The ServiceNow Engineer will build and maintain solutions across ITSM, ITOM, HRSD, and CSM modules. The role involves hands-on configuration, development, and integration while ensuring the platform remains upgrade-safe and performant.
The Machine Learning Data Engineer will build and operate large-scale data systems to support AI training and evaluation pipelines. The role involves managing data ingestion, transformation, quality assurance, and high-throughput delivery for diverse AI workloads.
Design, develop, and maintain integrations between Workday and the broader enterprise application landscape. Collaborate with cross-functional partners to translate requirements into well-engineered solutions while providing mentorship to junior engineers.
The Data Solutions Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic infrastructure direction and collaborate with cross-functional teams to deliver a scalable data foundation.
The Salesforce Solutions Architect will design and govern enterprise-level Salesforce implementations across various clouds. They will drive technical strategy, establish standards for security and integration, and collaborate with stakeholders to deliver scalable solutions.
The SAP Data Migration Engineer will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role manages the full migration lifecycle, including extraction, transformation, validation, and cutover to ensure accurate enterprise data integration.
Design, build, and enhance modern, user-friendly SAP Fiori applications that meet enterprise standards for usability and performance. Collaborate with functional consultants and developers to manage the full Fiori/UI5 development lifecycle across various devices.
The SAP Infrastructure Specialist is responsible for the architecture, installation, configuration, and performance tuning of complex SAP landscapes across on-premises and cloud environments. This role ensures the availability, security, and compliance of mission-critical SAP systems through proactive maintenance and cross-team collaboration.
The SAP Middleware Developer will design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud-based systems. They will own the full integration lifecycle, including requirements analysis, interface design, development, testing, deployment, and post-go-live support.
The SAP Data Engineer will design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. They will also serve as the primary expert for diagnosing and resolving complex HANA performance issues.
The ML Data Engineer will build and operate large-scale data systems to support AI training and evaluation pipelines. Responsibilities include managing data ingestion, transformation, quality assurance, and high-throughput delivery for training jobs.
The AI Governance Engineer will lead the design and implementation of security controls, threat models, and incident response capabilities for AI and machine learning systems. This role focuses on mitigating risks such as prompt injection, model abuse, and data exfiltration within LLMs and AI infrastructure.
The Automation Solutions Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform. This role involves creating reusable modules, hardening pipelines, and standardizing infrastructure delivery across cloud environments.
The Cybersecurity Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They will identify vulnerabilities and implement security improvements to reduce risk across the application portfolio.
Design, build, and operate the platform layer that powers large-scale AI training and inference workloads. Focus on GPU clusters, distributed training frameworks, scheduling, and storage performance while ensuring reliability and efficiency.
The AI Systems Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices. This role involves implementing model compression and hardware-aware optimization to ensure reliable AI performance outside of data centers.
The developer will build and maintain solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. Responsibilities include hands-on configuration, scripting, integrations, and UI customization while ensuring platform performance and upgrade safety.
The Lead Salesforce Architect will design and govern enterprise-level Salesforce implementations across multiple clouds. They will drive technical strategy, establish standards for security and integration, and collaborate with stakeholders to deliver scalable solutions.
The Site Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. They will apply software engineering principles to infrastructure problems to push the platform toward higher reliability and lower operational toil.
The role involves designing, developing, and maintaining integrations between Workday and the broader enterprise application landscape. You will collaborate with cross-functional partners to translate requirements into engineered solutions while providing mentorship and code reviews.
The Data Infrastructure Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. This role involves setting strategic standards for data modeling and collaborating with cross-functional teams to deliver a scalable data foundation.
The developer will design and build production-grade Salesforce solutions using Apex, Lightning Web Components, and Flow. They are responsible for delivering custom business logic, integrations, and automation while ensuring long-term maintainability.
The Senior ServiceNow Consultant will lead the design, governance, and long-term evolution of the ServiceNow platform across multiple modules. They will drive standards for data, integration, and security to ensure the platform remains scalable and aligned with business priorities.
The Reliability Monitoring Engineer will design and operate metrics, logging, tracing, and alerting platforms to ensure system reliability. This role involves managing the full observability stack, from collection agents to dashboards, while focusing on signal quality and operational efficiency.
The Virtualization Engineer will design, deploy, and operate VMware-based virtualization, software-defined networking, and storage platforms. This role involves managing large-scale VMware estates alongside modern cloud-native workloads with a focus on automation and capacity management.
The Coupa API Developer will design, develop, and maintain integrations between Coupa BSM and the broader enterprise application landscape. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
The developer will deliver configuration, integration, and customization across the Guidewire InsuranceSuite and Guidewire Cloud. They will work with cross-functional teams to translate requirements into engineered solutions and mentor junior engineers.
The developer will build and maintain enterprise-grade digital experiences using AEM Sites, Assets, and AEM as a Cloud Service. Responsibilities include developing components, templates, workflows, and integrations while ensuring high performance and maintainability.
Design, deploy, and operate cloud networking infrastructure across major cloud providers. Collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship to junior engineers.
The Enterprise Cloud Architect will design and govern cloud-native solutions across compute, networking, data, identity, and security domains. They will partner with business stakeholders and engineering teams to translate strategic objectives into scalable and cost-effective cloud architectures.
The developer will handle technical configuration, custom report design, and integration support within the Workday platform. They will collaborate with cross-functional stakeholders to translate business requirements into maintainable solutions.
The Service Mesh Architect will design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. The role involves platform engineering, implementing traffic policies, and assisting application teams with mesh adoption.
The OpenShift Administrator will design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms across on-premises and cloud environments. Responsibilities include managing the end-to-end platform lifecycle, from cluster provisioning and hardening to workload onboarding and continuous operational improvement.
The Network DevOps Engineer will automate network configuration, change management, and observability across multi-vendor enterprise networks. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions using modern network APIs and CI/CD practices.
The Storage Solutions Engineer will design, deploy, and operate enterprise storage foundations supporting compute, virtualization, database, and Kubernetes workloads. The role involves managing block, file, and object storage across data center, edge, and cloud environments while focusing on performance and cost optimization.
Design strategies, reference architectures, and platform capabilities that span multiple cloud providers to ensure portability and abstraction. Focus on hiding cloud-specific complexity from product teams through federated identity, cross-cloud networking, and platform offerings.
The consultant will design, develop, and support custom enhancements, integrations, and reports within large enterprise SAP landscapes. This role involves the full development lifecycle, including technical design, coding, unit testing, and post-go-live support.
The developer will build and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Responsibilities include backend C#/.NET development, front-end implementation, content modeling, and managing platform migrations.
The Senior Rust Developer will build high-performance, scalable, and secure distributed systems for enterprise applications. They will work within an engineering team to design and implement robust backend services using Rust.
Design, develop, and deploy secure smart contracts and scalable blockchain applications. Integrate enterprise systems with various blockchain platforms and optimize performance, security, and scalability.
The OpenShift Platform Engineer will design, deploy, and manage enterprise-grade Red Hat OpenShift clusters across cloud and on-premises environments. They will also automate cluster provisioning, maintain CI/CD pipelines, and collaborate with development teams to ensure platform security and performance.
The Azure Cloud Engineer will design, deploy, and manage secure, scalable cloud solutions on Microsoft Azure. They will also build CI/CD pipelines and collaborate with development teams to deliver cloud-native infrastructure.
The AI Risk Engineer will design and implement security controls for AI and LLM-based applications while building threat models to mitigate risks like prompt injection and model abuse. They will also collaborate with security and compliance teams to conduct AI security assessments and drive remediation efforts.
Manage daily payment cycle activities, including processing invoices and reconciling accounts. Maintain accurate historical financial records and prepare monthly analysis reports for management.
