The AI Pipeline Engineer will design and operate large-scale data systems to support AI training, evaluation, and continual improvement workflows. They will build ingestion, transformation, and quality assurance systems while collaborating with researchers to optimize data delivery for model development.
Define and govern enterprise Salesforce architecture across multiple clouds and complex org environments, including integration, security, data, DevOps, and performance strategies. Lead technical reviews and stakeholder collaboration, mentor engineering teams, and produce clear architecture documentation.
The developer 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.
The Enterprise ServiceNow Architect will define and lead the architecture of the enterprise data platform, overseeing ingestion, storage, processing, and governance. They will partner with cross-functional teams to establish data standards and ensure the platform supports scalable, high-performance data consumption.
The Embedded AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices and mobile platforms. Responsibilities include tuning model performance for latency and energy efficiency while building cross-platform inference runtimes.
Design, build, and operate large-scale data pipelines and analytics platforms using Hadoop and related big-data technologies. Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads.
Design, deploy, and operate enterprise block, file, and object storage across data center, edge, and cloud environments. Support compute, virtualization, database, and Kubernetes workloads while managing performance, data protection, capacity, and cost.
The Enterprise Data Architect will define and lead the architecture of the enterprise data platform, overseeing ingestion, storage, processing, and governance. This role involves setting standards for data modeling and partnering with cross-functional teams to deliver a scalable and reliable data foundation.
Develop low-level Windchill customizations using Java, PTC APIs, and platform frameworks, including services, listeners, and processors, while maintaining an upgrade-friendly implementation. Collaborate with cross-functional stakeholders to turn requirements into production-ready solutions, and contribute through code and design reviews and mentoring.
The CRM Integration Architect will design and govern complex integrations between Salesforce and the broader enterprise application landscape. This role involves defining API strategies, selecting middleware, and mentoring engineering teams to ensure scalable and reliable system performance.
The developer will be responsible for customizing and integrating Guidewire solutions including PolicyCenter, BillingCenter, and ClaimCenter. They will also manage Guidewire Cloud upgrades and perform product model configuration.
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 Oracle Cybersecurity Engineer will design, implement, and operate security controls across Oracle Cloud Infrastructure and hybrid environments. They will also manage identity and access, lead vulnerability and compliance programs, and respond to security incidents.
The 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, and ongoing optimization while mentoring junior team members.
The Lead Backend Developer will design and operate foundational platforms and shared services, including request routing, traffic management, and data fan-out. This role involves leading multi-quarter platform initiatives and mentoring engineering teams to improve overall engineering standards.
The Salesforce Platform 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 long-term maintainability and performance.
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 consultant will architect, deploy, and operate large-scale, secure OCI environments including landing zones and networking topologies. They will also manage the full engineering lifecycle, including infrastructure-as-code, workload migration, and ongoing operational support.
Design and develop ServiceNow solutions across ITSM, ITOM, HRSD, and CSM modules while building integrations with enterprise systems. Maintain platform performance through clean scripting, workflow automation, and systematic troubleshooting of technical issues.
The Platform Reliability Engineer will ensure the availability and performance of large-scale distributed systems by defining SLOs and automating operational tasks. They will lead incident response efforts and collaborate with development teams to embed reliability practices into the design and deployment lifecycle.
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 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.
The Secure Software 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 Go Developer will design and build high-performance backend services, infrastructure tooling, and cloud-native applications. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The role involves designing, building, and maintaining infrastructure-as-code foundations using Terraform across cloud and hybrid environments. Responsibilities include creating reusable modules, managing CI/CD pipelines, enforcing policy-as-code, and driving infrastructure standardization.
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 product-lifecycle requirements into robust technical solutions.
The developer will design, build, and maintain enterprise integration scenarios connecting Oracle Cloud Applications with on-premises and third-party systems. They are responsible for the full integration lifecycle, including analysis, development, deployment, and ongoing support.
The Test 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.
The Principal Python Developer will design, build, and enhance complex enterprise-grade applications and data-intensive services. This role involves collaborating with product and infrastructure teams to translate business problems into high-performance technical solutions.
The Workday Solutions Developer will handle technical configuration, custom report design, and integration support for HR, finance, and IT stakeholders. They will also perform lightweight application extension work and manage business process design within the Workday platform.
The Quantitative Developer will build low-latency, high-reliability trading, risk, and analytics systems for fintech applications. They will collaborate with quants and traders to translate mathematical models into production-quality software.
Design, develop, and maintain complex Workday integrations using EIB, Studio, and various APIs to connect enterprise systems. Collaborate with cross-functional stakeholders to translate business requirements into reliable, secure, and well-documented integration solutions.
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 PeopleSoft Framework Developer will own the technical backbone of the PeopleSoft platform, including upgrades, image applications, and security configurations. 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 act as the technical owner of the integration layer and mentor junior engineers through code and design reviews.
Design, build, and integrate software across the robotics stack, including sensor integration, motion planning, perception, and behavioral systems. Collaborate with cross-functional teams, support field testing and hardware integration, and contribute through code and design reviews and mentorship.
Build and operate large-scale data systems that support AI training and evaluation, including data ingestion, transformation, quality assurance, lineage, and high-throughput delivery. Support reliable, reproducible data pipelines across diverse modalities and help ensure infrastructure choices improve model quality and training efficiency.
The Azure Cloud Engineer will design and operate Azure Kubernetes Service clusters at scale while managing cloud infrastructure. They are responsible for implementing CI/CD pipelines, monitoring strategies, and ensuring robust cloud security and compliance.
Architect end-to-end IIoT solutions and design data acquisition pipelines from industrial assets to cloud platforms. Develop real-time analytics, predictive maintenance models, and integrate IIoT data streams with enterprise systems like MES and ERP.
The AI Research Engineer will design, prototype, and evaluate applied AI solutions across various domains while bridging the gap between research and production. They will also build robust, scalable ML pipelines and optimize models for accuracy, latency, and cost in a production environment.
The AWS Cloud Engineer 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 continuous operational improvement of production workloads.
The Principal Java Developer will architect, design, and maintain enterprise-grade web applications and distributed systems. They will manage the end-to-end engineering lifecycle, from technical design and coding to cloud-native deployment and operational support.
The Prompt Engineer will define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures. They will also build evaluation frameworks, establish safety guardrails, and mentor engineering teams on LLM best practices.
The specialist 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, deployment, and post-go-live support.
The Salesforce Enterprise Architect will design and govern complex multi-org Salesforce implementations across various clouds. They will lead technical strategy, establish development standards, and partner with stakeholders to deliver scalable CRM solutions.
Design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. Collaborate with ML researchers to optimize data ingestion, quality assurance, and high-throughput delivery for diverse AI modalities.
Design, build, and optimize HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA platforms. Translate business and analytics requirements into performant models and diagnose and resolve performance issues across the SAP landscape.
The Senior SAP Basis Engineer 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 systems across on-premises and cloud environments.
Design, build, and operate extensions, side-by-side applications, and integration scenarios on SAP Business Technology Platform. Use BTP application development, integration, data, and AI services to deliver clean-core extensions for SAP S/4HANA and other SAP applications.
The Staff Software Engineer will lead complex, cross-team engineering initiatives and provide technical leadership to senior engineers. They are responsible for influencing engineering culture and standards while ensuring operational excellence and reliability in large-scale systems.
Design, execute, and support large-scale data migrations into SAP S/4HANA, covering extraction, transformation, validation, reconciliation, and cutover. Coordinate with functional teams, business owners, and infrastructure stakeholders to ensure enterprise data migrations are accurate, complete, and compliant.
Build and maintain ServiceNow solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications, including workflows, integrations, scripting, and UI customizations. Apply platform best practices to deliver clean, upgrade-safe, performant solutions using maintainable code and an appropriate balance of declarative and programmatic development.
You will be responsible for designing, implementing, and operating security and access-control frameworks across complex SAP landscapes. This includes managing SAP role design, user provisioning, segregation-of-duties analysis, and supporting audit and compliance activities.
Define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption layers. Partner with cross-functional teams to establish data standards, governance, and scalable data infrastructure.
Define and lead the architecture of an enterprise data platform across ingestion, storage, processing, governance, and consumption. Set standards for data modeling and lifecycle management, guide data infrastructure strategy, and collaborate with engineering, analytics, machine learning, and business teams.
Design, deploy, and operate cloud networking infrastructure including VPC/VNet, hybrid connectivity, and edge networking. Collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship and code reviews.
The Cloud Security Engineer will design and implement enterprise security architectures across Oracle Cloud Infrastructure and hybrid environments. They are responsible for operating security controls, managing identity domains, and leading incident response and vulnerability management programs.
Design, develop, and maintain enterprise-grade Single Page Applications using Angular and TypeScript. Collaborate with cross-functional teams to integrate front-end interfaces with Java Spring Boot microservices and cloud-native platforms.
Design, develop, and optimize high-performance distributed data processing applications using Apache Spark. Collaborate with cross-functional teams to build scalable batch and real-time ETL/ELT pipelines for enterprise analytics and cloud-based data platforms.
Design, build, and maintain enterprise-grade decentralized applications, smart contract platforms, and blockchain-integrated backend services. Collaborate with cross-functional teams to develop secure, scalable solutions that integrate with cloud-native microservices and traditional enterprise systems.
The ERP Integration Developer will design, build, and operate enterprise integrations connecting PeopleSoft applications to internal and cloud-based systems. This role involves managing the integration layer, including service operations, security configurations, and error handling while collaborating with cross-functional teams.
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 training sharding, and compiler-level optimizations to improve production performance.
The developer will design, build, and operate enterprise integration scenarios connecting Oracle Cloud Applications with on-premises and third-party systems. They are responsible for the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
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.
The developer will design, develop, and optimize complex PL/SQL packages and database objects to support high-volume enterprise applications. They will also collaborate with cross-functional teams to implement database security, performance tuning, and cloud migration initiatives.
The consultant will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This includes managing the full data migration lifecycle, such as extraction, transformation, validation, and reconciliation of enterprise data.
Install, configure, upgrade, and operate PeopleSoft environments, including administration of WebLogic, Tuxedo, Process Scheduler, Integration Broker, application servers, and Elasticsearch/OpenSearch. Manage refreshes, migrations, high availability and disaster recovery, automation, performance monitoring, troubleshooting, documentation, and production support while mentoring junior engineers.
The Senior DevOps Engineer will architect, build, and maintain enterprise-grade cloud infrastructure and CI/CD pipelines. They will also collaborate with cross-functional teams to ensure operational excellence, scalability, and security across the application lifecycle.
Design, develop, and maintain enterprise-grade Single Page Applications using React and TypeScript. Collaborate with cross-functional teams to integrate applications with RESTful APIs, cloud services, and microservices-based backend platforms.
Design, deploy, and manage secure, scalable Oracle Cloud Infrastructure environments, including networking, IAM, security, storage, compute, and Kubernetes services. Build infrastructure as code and CI/CD automation, implement monitoring, disaster recovery, and cost optimization, and collaborate with teams while mentoring junior engineers.
Design and govern scalable, secure, cost-effective cloud-native architectures across compute, networking, data, identity, and security. Partner with business stakeholders and engineering teams to translate strategic objectives into architecture, lead reviews, and guide engineering direction.
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.
Design and develop high-performance backend services and distributed systems using Rust. Collaborate with cross-functional teams to build scalable APIs, asynchronous processing pipelines, and cloud-native infrastructure components.
The Senior PeopleSoft Engineer will design, develop, and support customizations, integrations, and enhancements for PeopleSoft HCM, FSCM, and Campus Solutions. Responsibilities include optimizing SQL performance, performing testing, troubleshooting issues, and mentoring junior developers.
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.
Lead the end-to-end design lifecycle for enterprise digital experiences, translating business requirements into intuitive, accessible, responsive interfaces, prototypes, and reusable design systems. Collaborate with product, engineering, QA, and business stakeholders to develop and maintain front-end applications, conduct usability testing, and support products throughout their operational lifecycle.
The Senior Data Scientist will design, develop, and deploy enterprise-grade machine learning solutions to support strategic business initiatives. This role involves managing the complete data science lifecycle, from translating business problems into analytical models to monitoring performance in production environments.
The Senior Data Engineer will architect, develop, and maintain enterprise-grade data platforms and scalable pipelines to support analytics and machine learning. They will manage the end-to-end data engineering lifecycle while collaborating with cross-functional teams in an Agile environment.
The developer will handle technical configuration, custom report design, and integration support within the Workday platform. They will collaborate with cross-functional teams to translate business requirements into maintainable solutions and mentor junior engineers.
Design, deploy, and operate enterprise block, file, and object storage across data center, edge, and cloud environments, supporting compute, virtualization, database, and Kubernetes workloads. Maintain storage performance, data protection, and cost efficiency while automating storage engineering and troubleshooting issues across storage, network, and host layers.
The SAP Integration Engineer will design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud systems. Responsibilities include managing the full integration lifecycle from requirements analysis and interface design to deployment, monitoring, and post-go-live support.
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 using modern network APIs and infrastructure-as-code practices.
The SAP Extension Developer 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.
Design, deploy, and operate VMware-based virtualization, software-defined networking, and storage platforms across hybrid cloud environments. Manage automation, capacity planning, and the operational lifecycle of large-scale VMware estates and cloud-native workloads.
The Cloud Strategy Architect will design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. The role focuses on creating abstraction layers, federated identity, and cross-cloud networking to simplify complexity for product teams.
The SAP Fiori Consultant will design, build, and enhance modern, user-friendly SAP applications to meet enterprise standards. They will own the full Fiori/UI5 development lifecycle while collaborating with functional consultants and UX teams.
The engineer will architect, design, develop, and maintain 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 Technical Administrator will install, configure, and manage enterprise SAP landscapes across on-premises and cloud environments. Responsibilities include performing system upgrades, migrations, performance tuning, and developing automation scripts.
Design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. Focus on platform engineering, mesh adoption, traffic policy, and observability across the Kubernetes infrastructure.
Design, develop, test, tune, and support custom SAP enhancements, integrations, and reports across enterprise SAP landscapes. Collaborate with functional consultants and business stakeholders throughout the development lifecycle, including technical design and post-go-live support.
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 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 systems across on-premises and cloud environments.
Design, train, and deploy reinforcement learning systems for high-impact decision-making problems. Manage the engineering complexity of training and evaluating policies at scale while ensuring stability and safety in production environments.
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.
The Salesforce Integration Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while providing technical mentorship.
The PLM Engineer will own the technical operation of the PLM platform, including installation, configuration, performance tuning, and upgrades. They will partner with functional, engineering, and manufacturing teams to ensure a reliable, performant, and secure PLM ecosystem.
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 product-lifecycle requirements into well-engineered solutions.
The ServiceNow Architect will lead the design, governance, and long-term evolution of the ServiceNow platform across various modules. They are responsible for driving standards for data, integration, and security to ensure the platform remains scalable and aligned with business priorities.
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 build software tooling, firmware, and infrastructure to support semiconductor development, verification, and manufacturing. Collaborate with cross-functional teams to accelerate silicon development cycles and improve performance and quality.
The Prompt Engineer will lead the strategy and design of prompts, agentic workflows, and LLM-based application architectures. They are responsible for building reusable design patterns and evaluation frameworks that scale across the organization.
The Service Mesh 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 platform engineering, implementing traffic policies, and supporting application teams with mesh adoption.
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 with a focus on scalability, reliability, performance, and clean engineering practices.
The Staff Software Engineer will provide deep technical leadership across multiple teams to drive complex engineering initiatives. They will shape architecture, mentor junior engineers, and collaborate with cross-functional partners to deliver technical roadmaps.
The Senior Python Developer 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 developer will architect, design, 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.
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 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 post-go-live support.
The Solutions Architect will design and govern enterprise-grade application architectures across cloud, data, and integration ecosystems. They will partner with business and engineering leaders to translate strategic objectives into scalable, maintainable technology solutions.
The consultant will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This includes managing the full data lifecycle from extraction and transformation to validation, reconciliation, and cutover.
The SAP Fiori Developer will design, build, and enhance modern, user-friendly SAP applications while owning the full development lifecycle. They will collaborate with functional consultants, ABAP developers, and UX teams to deliver responsive applications across various devices.
The developer will perform deep, low-level Windchill customizations using Java and PTC APIs while maintaining an upgrade-friendly architecture. They will collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
The Windchill Integration Engineer will design, build, and operate integrations connecting PTC Windchill with ERP, MES, CAD, and other enterprise systems. They will own the technical integration layer and collaborate with cross-functional teams to translate requirements into engineered solutions.
The Observability 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 operational ROI and actionable insights.
The Dell Boomi Integration Engineer will design, build, and operate enterprise integrations across the full lifecycle using the Boomi AtomSphere platform. They will collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship to junior engineers.
The Edge AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile and embedded systems. This role involves performing model compression and hardware-aware optimization to ensure reliable AI performance outside of data centers.
Lead the design and evolution of large-scale microservices ecosystems using container platforms and cloud-native technologies. Guide service decomposition and distributed data management while ensuring resilience, observability, security, and long-term maintainability.
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 workloads.
Design, build, and operate high-performance inference platforms for serving large machine learning models in production. Manage request routing, batching, caching, autoscaling, and GPU utilization while ensuring end-to-end observability.
The developer will deliver configuration, integration, and customization across the Guidewire InsuranceSuite and Guidewire Cloud. They will collaborate with cross-functional partners to translate requirements into engineered solutions while providing mentorship to junior engineers.
Architect, deploy, and operate large-scale Apache Kafka and Confluent environments, owning platform sizing, configuration, security, automation, observability, and developer enablement. Partner with application and cross-functional teams to deliver reliable streaming solutions, while contributing through code and design reviews and mentoring junior engineers.
The MuleSoft Developer will design, build, and operate enterprise integration solutions on the MuleSoft Anypoint Platform. They will own the full integration lifecycle, including API design, flow development, deployment, and ongoing optimization.
Design and build end-to-end industrial IoT systems, from factory-floor data acquisition and secure edge connectivity to cloud ingestion, real-time analytics, and operational dashboards. Collaborate with cross-functional teams to turn requirements into production-ready solutions, while contributing to code and design reviews and mentoring junior engineers.
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 OCI Cloud Engineer will architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle Cloud Infrastructure. They will manage the full engineering lifecycle, including infrastructure-as-code, workload migration, cost optimization, and observability.
Design, build, and operate enterprise integrations connecting PeopleSoft applications to internal systems, cloud applications, and third-party platforms. Collaborate with cross-functional partners to translate requirements into engineered solutions while providing mentorship and code reviews.
The developer will manage the architecture, installation, and configuration of enterprise PeopleSoft environments. They will also oversee technical operations, including upgrades, security configurations, and integration with cloud and middleware platforms.
Design and optimize compute-intensive workloads on modern GPU platforms for AI training and inference, scientific computing, and high-throughput data processing. Collaborate with cross-functional teams to turn requirements into production-ready solutions, while contributing through code and design reviews and mentoring junior engineers.
Design, deploy, secure, and operate enterprise OpenShift platforms for mission-critical workloads across on-premises and cloud environments. Manage the platform lifecycle, including cluster provisioning, workload onboarding, developer enablement, ongoing operations, and continuous improvement.
The developer will design, build, and operate enterprise integration scenarios connecting Oracle Cloud Applications with on-premises and third-party systems. They are responsible for the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
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.
Design, implement, and operate security controls across OCI, Oracle Cloud Applications, and hybrid Oracle environments, including security architecture, workload hardening, identity and access management, vulnerability and compliance programs, and incident response. Collaborate with cross-functional teams to deliver secure solutions, review code and designs, and mentor junior engineers.
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 engineers.
The AI Infrastructure Engineer will focus on optimizing throughput, latency, and costs for large neural network training and inference workloads. They will collaborate with cross-functional teams to translate requirements into scalable solutions while mentoring junior engineers.
Design and develop enterprise integration solutions using the MuleSoft Anypoint Platform while managing the full API lifecycle. Collaborate with cross-functional teams to translate requirements into secure, scalable, and reusable integration assets.
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 Kafka Platform Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent environments for mission-critical workloads. They will manage the platform end-to-end, including cluster configuration, security, automation, and observability while mentoring junior team members.
The role involves designing and implementing low-latency trading, pricing, and risk systems while translating quantitative models into production-quality software. You will collaborate with quants and traders to build robust data pipelines and optimize critical-path code for high-performance fintech applications.
Design and build high-throughput, latency-sensitive backend platform services and shared infrastructure. Develop durable event-processing pipelines and establish robust observability and capacity-planning practices.
Design, build, and operate scalable distributed backend systems and services, optimizing reliability, performance, cost, and data strategies. Lead architecture and incident response, improve observability and operational practices, mentor engineers, and contribute to platform strategy and technical documentation.
The Data Solutions Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will collaborate with cross-functional teams to deliver a scalable data foundation and set strategic standards for data modeling.
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 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 LLMs and AI infrastructure.
Design and develop scalable, cloud-native backend services and APIs using Go. Implement performance optimizations, automation tools, and maintain technical documentation while collaborating with engineering teams.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Ensure efficient performance by applying model compression, quantization, and hardware-aware optimization techniques.
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, build, and maintain infrastructure-as-code foundations using Terraform for cloud and hybrid environments. Standardize infrastructure delivery across multiple teams while enforcing policy-as-code and hardening pipelines.
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 and business stakeholders.
Lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. Manage architectural initiatives across multiple teams while ensuring system resilience, observability, and security.
Design, build, and optimize high-performance Go backend services, APIs, cloud-native applications, CLI tools, and Kubernetes controllers, with attention to concurrency, security, observability, and operational reliability. Lead code and design reviews, mentor engineers, contribute to shared Go tooling and libraries, and maintain technical and operational documentation.
The engineer will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities span the full engineering lifecycle, including requirements analysis, architectural design, implementation, deployment, and post-release support.
Design and develop robust integrations between PTC Windchill and enterprise systems including ERP, MES, and CAD platforms. Provide post-go-live support, mentor junior engineers, and optimize integration performance to ensure system stability.
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 system reliability.
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 providing mentorship and technical support.
The developer will design, develop, and support customizations and integrations for the Windchill PLM platform. They will also collaborate with cross-functional teams to translate business requirements into technical solutions while mentoring junior engineers.
Build and operate large-scale data systems that support AI training and evaluation pipelines. Manage data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs across diverse data modalities.
The Oracle Security Specialist 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 Prompt Engineering Architect will define and lead the strategy, patterns, and tooling for designing prompts, agentic workflows, and LLM-based application architectures. This role involves building reusable design patterns and evaluation frameworks that scale across multiple teams and use cases.
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 mission-critical workloads.
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.
The developer will design, build, and maintain enterprise-grade web applications and distributed systems using the Microsoft technology stack. Responsibilities include managing the full engineering lifecycle from requirements analysis and architectural design to deployment and post-release support.
Design, train, evaluate, and deploy advanced machine learning systems that address high-impact business problems, bridging applied research with production engineering. Build scalable, observable production pipelines and continuously assess and improve models using current research and real-world results.
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 SDLC and mentor junior engineers.
Design, train, evaluate, and deploy advanced machine learning systems that address business problems, bridging applied research with production engineering. Build scalable, observable production pipelines and continuously assess and adapt emerging research techniques for real-world use.
Design and implement security controls, threat models, and incident response capabilities for AI and machine learning systems. Address risks involving LLMs, model APIs, training data pipelines, and AI-powered applications, including prompt injection, model abuse, data exfiltration, and supply chain threats.
The AI 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 diverse AI workloads.
The AI Performance Engineer will focus on maximizing throughput, minimizing latency, and reducing costs for large neural network training and inference workloads. They will collaborate with cross-functional teams to translate requirements into optimized, well-engineered solutions across the full stack.
Embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems, identify vulnerabilities, and reduce risk across applications. Conduct hands-on offensive and defensive security work and help teams deliver security improvements efficiently.
Design, deploy, and operate secure, resilient, large-scale Azure cloud platforms, owning the lifecycle from architecture and infrastructure automation through security, cost optimization, monitoring, and ongoing operations. Partner with application development, security, and SRE teams to deliver scalable, reliable, compliant cloud-native solutions.
Design and govern scalable, cost-effective cloud-native architectures across compute, networking, data, identity, and security. Partner with business stakeholders, security architects, and engineering teams to translate strategic objectives into cloud solutions, lead architecture reviews, and guide engineering direction.
Design, develop, and maintain integrations between Coupa BSM and enterprise systems including ERP, finance, and HR. Collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship and code reviews.
Design, build, and operate secure, highly available AWS cloud platforms and production workloads. Develop infrastructure as code, automation, security, observability, and operational improvements while partnering with application, security, and SRE teams.
Define and lead the architecture of an enterprise data platform across ingestion, storage, processing, governance, and consumption. Set standards for data modeling and lifecycle management, guide data infrastructure strategy, and partner with engineering, analytics, ML, and business teams to deliver a scalable data foundation.
Design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and selectively OCI. Develop portability and abstraction layers, federated identity, cross-cloud networking, and platform offerings that reduce cloud-specific complexity for product teams.
Design, deploy, and operate secure, reliable cloud networking infrastructure, including VPC/VNet environments, hybrid connectivity, transit topologies, edge networking, and DNS. Collaborate with cross-functional teams to develop solutions, review designs and code, and mentor junior engineers.
The AppSec 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.
Ensure the availability, performance, and operational excellence of large-scale distributed production systems. Apply software engineering principles to infrastructure and operations, automate reliability work, lead incident response, and reduce operational toil.
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.
Design and govern integrations between Salesforce and enterprise systems, including ERP, data, marketing, and operational platforms. Define integration architecture, middleware selection, API strategy, and event-driven patterns while collaborating with stakeholders, reviewing designs and code, and mentoring engineers.
Design, develop, and maintain secure, reliable Workday integrations using EIB, Studio, Core Connectors, Cloud Connect, and Workday APIs. Collaborate with cross-functional stakeholders to turn requirements into production-ready solutions, and contribute through design and code reviews and mentoring junior engineers.
Lead the design, governance, and long-term evolution of the ServiceNow platform across multiple modules. Drive standards for data, integration, security, and customization to ensure the platform remains scalable and aligned with business priorities.
Design and build production-grade Salesforce solutions, including custom business logic, user interfaces, integrations, and automation, using Apex, Lightning Web Components, Flow, and integration platforms. Deliver maintainable solutions that meet complex enterprise requirements while respecting Salesforce platform limits.
The Advanced Software Engineer will provide technical leadership across multiple teams to drive the design and execution of complex engineering initiatives. They will collaborate with cross-functional partners to translate requirements into scalable solutions while mentoring junior engineers.
You will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, and cloud ingestion. Additionally, you will collaborate with cross-functional teams to translate requirements into engineered solutions and mentor junior engineers.
The Senior Azure Engineer will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, and automation. They will also partner with development and security teams to ensure operational excellence and scalability for production workloads.
The developer will design and build enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub while following Helix architecture principles. They will also manage headless implementations, perform migrations, and optimize site performance through data-driven strategies.
The AI Platform Engineer will design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments. They will also optimize GPU utilization, latency, and throughput while collaborating with cross-functional teams to support production machine learning workloads.
The Java Application Architect will design, develop, and maintain enterprise-grade web applications and distributed systems using Java and modern front-end frameworks. They will manage the end-to-end engineering lifecycle, including cloud-native deployment, performance optimization, and collaboration within an Agile environment.
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 engineering teams to deliver scalable solutions.
The Big Data 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 OCI Solutions Architect will design, deploy, and manage enterprise-grade OCI landing zones and infrastructure-as-code environments. They will also collaborate with cross-functional teams to optimize cloud performance, security, and cost-efficiency for mission-critical workloads.
The SAP GRC Specialist will design, implement, and operate security and access-control frameworks across complex SAP landscapes. They will also manage role structures, perform segregation-of-duties analysis, and support audit compliance activities.
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 candidate will design and develop high-performance software, firmware, and automation solutions for semiconductor design, verification, and validation workflows. They will also lead technical design discussions and collaborate with cross-functional teams to ensure successful silicon bring-up and production.
Design and develop modern, user-friendly SAP Fiori applications while ensuring adherence to enterprise standards for performance and maintainability. Collaborate with functional consultants and UX teams to deliver responsive applications across desktop, tablet, and mobile devices.
Design and develop end-to-end integration scenarios using SAP Integration Suite and manage the full integration lifecycle from requirements to post-go-live support. Collaborate with functional consultants and architects to build secure, scalable, and reliable integration solutions across diverse systems.
The Cloud Infrastructure Engineer will architect, deploy, and operate secure, scalable AWS environments while managing infrastructure as code and platform automation. They will also lead cloud initiatives, mentor engineering staff, and implement robust observability and security frameworks.
Build and maintain enterprise digital experiences across Sitecore XP, XM Cloud, and Content Hub, including backend C#/.NET development, front-end work, content modeling, and integrations. Support platform upgrades and migrations from legacy implementations while applying modern composable patterns and addressing editor and marketer needs.
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 upgrades, and providing 24x7 on-call support for production systems.
Ensure the availability, performance, and operational excellence of large-scale distributed production systems. Apply software engineering principles to infrastructure and operations, automate reliability work, and reduce operational toil.
The architect will design, build, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. This role covers the full engineering lifecycle, including requirements analysis, architectural design, implementation, and cloud-integrated service deployment.
Design and implement large-scale distributed backend systems while architecting core platforms for scalability and reliability. Partner with cross-functional teams to drive incident response, mentor engineers, and maintain comprehensive technical documentation.
Design, develop, and maintain enterprise integration flows connecting Oracle Cloud Applications with on-premises and third-party systems. Manage the full integration lifecycle including analysis, development, testing, deployment, and post-go-live support.
The MuleSoft Consultant will own the integration lifecycle, including API design, flow development, deployment, and ongoing optimization. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions and provide mentorship to junior engineers.
The Oracle Cloud Security Engineer is responsible for designing, implementing, and operating security controls across Oracle Cloud Infrastructure and hybrid environments. They will manage identity and access, lead vulnerability and compliance programs, and respond to security incidents.
The developer will manage the architecture, installation, and ongoing technical operation of enterprise PeopleSoft environments. They will also lead upgrades, patch deployments, and provide mentorship to junior engineers while ensuring system stability.
The OCI Cloud Engineer will architect, deploy, and manage large-scale, secure cloud environments on Oracle Cloud Infrastructure. This role involves owning the full engineering lifecycle, including infrastructure-as-code, workload migration, and ongoing operational optimization.
The Product Lifecycle Developer will design, develop, and support customizations and integrations for the Windchill PLM platform. They will collaborate with cross-functional teams to translate business requirements into well-engineered technical solutions.
The SAP Basis Administrator is responsible for the architecture, installation, configuration, and ongoing operation of complex SAP landscapes across on-premises and cloud environments. This role ensures mission-critical systems remain performant, secure, and compliant while leading upgrades, migrations, and disaster recovery efforts.
Design, develop, and deploy cloud-based integrations using SAP BTP Integration Suite and CPI to connect SAP S/4HANA with third-party applications. Collaborate with cross-functional teams to troubleshoot integration issues and support the modernization of legacy ERP systems.
Design and execute SAP data migration strategies for S/4HANA implementations, including extraction, transformation, and loading processes. Manage data validation, reconciliation, and performance optimization to ensure system integrity and successful cutover.
The QA 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 engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes including S/4HANA and BTP. Responsibilities include managing SAP GRC suites, performing segregation-of-duties analysis, and supporting regulatory audits.
Design and develop enterprise integration scenarios using PeopleSoft Integration Broker, including service operations, queues, and web services. Lead migration efforts from legacy integrations to standardized patterns while providing post-go-live support and mentorship to junior engineers.
The SAP Fiori Developer will design, build, and enhance modern, user-friendly SAP applications while owning the full development lifecycle. They will collaborate with functional consultants and UX teams to deliver responsive applications across various devices while ensuring adherence to SAP design guidelines.
The developer will design, build, and enhance complex enterprise-grade Python applications and data-intensive services. They will also collaborate with cross-functional teams to translate business problems into scalable technical solutions while ensuring operational stability.
The developer will perform low-level Windchill customizations using Java and PTC APIs to extend platform functionality. They will also collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior staff.
Design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud-based systems. Manage the full integration lifecycle including requirements analysis, development, testing, deployment, and post-go-live support.
Design, build, and operate integrations connecting PTC Windchill with ERP, MES, CAD, and other engineering systems. Collaborate with cross-functional partners to translate requirements into engineered solutions while mentoring junior engineers.
Define end-to-end enterprise solution architectures, lead architecture reviews, and establish reusable standards and patterns across delivery teams. Guide cloud modernization and integration initiatives, embed security and compliance controls, and provide technical leadership to engineering teams.
Design, build, and operate reliable, high-performance big-data pipelines and analytics platforms using Hadoop ecosystem technologies, including batch and streaming workflows. Optimize and monitor production data systems, implement governance and quality controls, document architectures and operations, and collaborate with data teams while mentoring junior engineers.
The Automation Network Specialist will develop and implement network automation solutions using Python, APIs, and infrastructure-as-code practices. They will collaborate with cross-functional teams to improve network observability and configuration management while mentoring junior engineers.
Design, build, and maintain secure Coupa integrations with ERP, finance, HR, payment, supplier, and identity systems, including data synchronization and source-to-pay workflows. Improve integration reliability and performance, support releases and production incidents, maintain technical documentation, and collaborate with stakeholders while contributing to design reviews and mentorship.
Design, deploy, and operate VMware virtualization, software-defined networking, and software-defined storage platforms across on-premises and hybrid cloud environments. Manage automation, capacity, and operations for enterprise VMware platforms supporting cloud-native workloads.
The Enterprise Integration Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. They will collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship to junior engineers.
The Infrastructure Storage Engineer will design, deploy, and operate enterprise storage platforms including NetApp, Pure Storage, and Ceph across data center and cloud environments. They are responsible for implementing storage solutions for virtualization and Kubernetes workloads while ensuring high performance, data protection, and cost optimization.
Design, build, and operate large-scale data pipelines and analytics platforms using Hadoop and related technologies. Ingest, transform, and analyze structured and unstructured data to support enterprise analytics, machine learning, and reporting.
The Container Platform Engineer will architect, deploy, and manage enterprise-grade Red Hat OpenShift clusters across on-premises and cloud environments. They will also oversee the platform lifecycle, including automation, security hardening, and developer enablement.
Design, deploy, and operate service mesh platforms, primarily Istio and Linkerd, to provide secure, observable, and reliable service-to-service communication across Kubernetes environments. Lead mesh adoption, manage mutual TLS and traffic policies, and help application teams use service mesh capabilities pragmatically.
Design and govern scalable, secure, cost-effective cloud architectures across compute, networking, storage, identity, data, and observability, while leading architecture reviews and cloud migration and modernization initiatives. Establish reusable cloud standards and security controls, guide engineering teams, manage FinOps and capacity planning, and communicate architecture decisions to stakeholders and senior leadership.
The engineer will architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle Cloud Infrastructure. They will manage the full engineering lifecycle, including infrastructure-as-code, workload migration, cost optimization, and observability.
Design and maintain reusable Terraform modules and scalable infrastructure-as-code foundations across cloud accounts, environments, and providers. Build automated delivery pipelines with testing, policy enforcement, state management, security guardrails, and cost governance, while supporting migrations and mentoring engineering teams.
Design, build, and operate integrations connecting PeopleSoft applications with internal systems, cloud applications, and third-party platforms, including service operations, queues, routings, transformations, security, and error handling. Collaborate with cross-functional stakeholders to deliver production-ready solutions, and contribute through code and design reviews and mentorship.
Architect, design, develop, and maintain enterprise web applications and distributed systems, managing the engineering lifecycle from requirements and technical design through deployment and operational support. Collaborate with product, architecture, DevOps, and engineering teams to deliver secure, performant applications in an Agile environment.
Design, develop, and support customizations, integrations, and enhancements for PeopleSoft HCM, FSCM, and Campus Solutions applications. Implement business requirements in partnership with functional consultants and ensure developments meet enterprise standards for quality, security, and maintainability.
Design, develop, test, deploy, monitor, and support enterprise integrations connecting Oracle Cloud Applications, on-premises Oracle systems, and third-party platforms. Own the full integration lifecycle, including analysis and design, while operating integration scenarios and providing ongoing support.
Design, build, and operate extensions, side-by-side applications, and integration scenarios on SAP Business Technology Platform. Use BTP application development, integration, data, analytics, and AI services to deliver clean-core extensions for SAP S/4HANA and other SAP applications.
Design, automate, secure, and operate cloud and hybrid network infrastructure, including connectivity, routing, DNS, edge networking, Kubernetes networking, and private access to managed services. Troubleshoot complex network issues, optimize costs, build observability, and collaborate with security and engineering partners on reliable production solutions.
Design, build, and operate extensions, side-by-side applications, and integration scenarios on SAP Business Technology Platform. Use BTP services for application development, integration, data and analytics, and AI to deliver clean-core extensions for SAP S/4HANA and other SAP applications.
Design, build, and optimize HANA-native data models and analytical objects for S/4HANA, BW/4HANA, and standalone HANA platforms. Translate business and analytics requirements into performant models and diagnose and resolve performance issues across the SAP landscape.
Design, develop, test, and support custom ABAP enhancements, reports, integrations, and services in SAP S/4HANA, applying clean-core principles and optimizing performance. Collaborate with functional consultants and business stakeholders throughout the development lifecycle, support upgrades and post-go-live activities, document solutions, and mentor junior developers.
Design, implement, and operate security and access-control frameworks across SAP landscapes, including role design, user provisioning, segregation-of-duties analysis, and GRC operations. Support audits and remediation, and collaborate with audit, compliance, and business teams to maintain a secure and auditable SAP environment.
Architect, install, configure, upgrade, and operate enterprise PeopleSoft environments, including PeopleTools, image applications, security, search servers, and integrations with cloud and middleware platforms. Collaborate with cross-functional teams to deliver technical solutions, and contribute through code and design reviews, troubleshooting, and mentoring.
Design, implement, and operate security controls across OCI, Oracle Cloud Applications, and hybrid Oracle environments, including security architecture, workload hardening, identity and access management, vulnerability and compliance programs, and incident response. Collaborate with cross-functional teams to deliver secure solutions, review code and designs, and mentor junior engineers.
Define multi-cloud strategy and architecture across AWS, Azure, GCP, and potentially OCI, including identity, networking, security, infrastructure automation, data, observability, cost management, and disaster recovery. Create reusable architecture patterns and documentation, guide engineering teams on cloud-agnostic versus cloud-native choices, and evaluate provider roadmaps and emerging tools.
Design, build, and enhance enterprise-grade Python applications, data-intensive services, and automation platforms for reliable, secure operation in production. Diagnose complex issues, provide operational support, and collaborate with product, data, and infrastructure teams to deliver technical solutions and improve engineering practices.
Build and maintain enterprise digital experiences across Sitecore XP, XM Cloud, and Content Hub, including backend C#/.NET development, front-end work, content modeling, and integrations. Support platform upgrades and migrations from legacy implementations while applying modern composable and headless patterns.
Design, develop, and support custom SAP enhancements, integrations, and reports across enterprise SAP landscapes. Manage the development lifecycle from requirements analysis and technical design through coding, testing, performance tuning, and post-go-live support in collaboration with functional consultants and business stakeholders.
Design, deploy, and operate Istio or Linkerd service mesh platforms across Kubernetes environments, focusing on secure, observable, and reliable service-to-service communication. Lead mesh adoption and platform engineering practices, including mTLS and traffic policies, while helping application teams adopt the mesh pragmatically.
Design, develop, and maintain integrations between Workday and enterprise applications using EIB, Workday Studio, Core Connectors, Cloud Connect, and Workday APIs. Deliver reliable, secure integrations while maintaining data quality.
Design, develop, test, deploy, monitor, and support integrations connecting SAP S/4HANA and other SAP applications with non-SAP, third-party, and cloud systems. Own the full integration lifecycle and collaborate with functional consultants, enterprise architects, and integration partners to deliver reliable, secure, and scalable solutions.
Design and maintain Workday reports, calculated fields, business processes, security configurations, and Extend or PRISM solutions, while supporting integrations and downstream data exports. Partner with business and technical stakeholders to troubleshoot production issues, document and test configurations, adopt platform releases, and promote Workday best practices.
Design, deploy, and operate VMware virtualization, networking, and storage platforms across data centers and hybrid cloud environments, including vSphere, vSAN, NSX, Tanzu, and VMware Cloud Foundation. Automate provisioning and operations, manage capacity and disaster recovery, maintain platform lifecycle and security, and troubleshoot infrastructure across compute, network, and storage layers.
Design, deploy, and operate enterprise block, file, and object storage across data center, edge, and cloud environments. Support compute, virtualization, database, and Kubernetes workloads while optimizing performance, data protection, and cost.
Design, build, and enhance responsive SAP Fiori/UI5 applications for desktop, tablet, and mobile, owning the full development lifecycle. Collaborate with functional consultants, ABAP developers, and UX teams to deliver maintainable, accessible, high-performing applications aligned with SAP Fiori Design Guidelines.
Design, develop, and maintain Coupa integrations with enterprise systems, including API integrations, supplier onboarding, and data synchronization with ERP, finance, HR, and payment platforms. Collaborate with cross-functional stakeholders to deliver production-ready solutions, and contribute through code and design reviews and mentorship.
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.
The Dell Boomi 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.
Design, train, evaluate, and deploy advanced machine learning systems that address high-impact business problems, taking solutions from research prototypes into robust, scalable production pipelines. Evaluate emerging AI research for practical use and support the ongoing observability, safeguards, and improvement of deployed models.
Design, develop, and support Windchill customizations, workflows, integrations, reports, and data migrations while following PTC-recommended practices and optimizing performance. Collaborate with stakeholders, provide production and post-launch support, maintain technical documentation, and mentor junior engineers through reviews and knowledge sharing.
Design, deploy, secure, and operate enterprise OpenShift container platforms for mission-critical workloads across on-premises and cloud environments. Manage the platform lifecycle, including cluster provisioning, workload onboarding, developer enablement, ongoing operations, and continuous improvement.
Lead the design and evolution of large-scale microservices ecosystems using container platforms and cloud-native technologies. Guide service decomposition and architecture initiatives across teams, while addressing distributed data management, resilience, observability, security, and long-term maintainability.
Develop and maintain Sitecore solutions across XP, XM, XM Cloud, and Content Hub, including C#/.NET services, headless front ends, integrations, content models, and migrations to composable architectures. Optimize performance and deployments, troubleshoot production issues, implement personalization and analytics, and collaborate with authors, designers, and product owners.
Provide technical leadership across teams, shape architecture, and lead complex engineering initiatives from design through execution. Partner with cross-functional stakeholders, review code and designs, mentor engineers, and help improve engineering standards and production reliability.
Architect and build 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.
Design, train, and deploy reinforcement-learning systems for complex decision-making problems, including developing reward functions and using simulation environments to collect experience. Train and evaluate policies at scale, and bring RL solutions into production with a focus on stability, safety, and continuous improvement.
Design, deploy, and operate secure, resilient Azure cloud platforms, owning the lifecycle from architecture and infrastructure automation through security, cost optimization, observability, and production operations. Partner with application development, security, and SRE teams to deliver scalable, reliable, compliant cloud-native solutions.
The Kafka Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. They will also manage cluster security, automation, observability, and mentor junior engineering staff.
Design, integrate, profile, and optimize GPU workloads and custom kernels for AI training, inference, scientific computing, and high-throughput data processing. Collaborate with cross-functional teams, contribute to code and design reviews, and mentor junior engineers while delivering reliable production performance improvements.
Design, build, and operate high-performance inference platforms for serving large machine learning models in production. Manage system components including request routing, batching, caching, autoscaling, and GPU utilization.
Optimize throughput, latency, and cost across training and inference workloads for large neural networks, spanning GPU kernels, memory management, compilers, and distributed systems. Measure and profile production AI workloads, collaborate across teams to deliver robust solutions, and contribute through code and design reviews and mentorship.
Design, execute, and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning approaches. Build reliable training and evaluation pipelines, collaborate with cross-functional stakeholders, and support engineering quality through reviews and mentorship.
Design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, data domains, and business application portfolios. Partner with stakeholders and engineering leaders to translate strategic objectives into scalable, maintainable solutions, lead architecture reviews, and communicate technical trade-offs to senior leadership.
Develop and maintain enterprise digital experiences using AEM Sites, AEM Assets, and AEM as a Cloud Service, including components, templates, workflows, integrations, and front-end experiences. Improve performance and maintainability while supporting effective content authoring and modern AEM patterns such as SPA Editor and headless delivery.
The Senior MuleSoft Developer will own the integration lifecycle, including API design, flow development, deployment, and ongoing optimization. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions and mentor junior engineers.
Lead enterprise-wide architectural initiatives, set long-term technology strategy, and design scalable, resilient distributed systems. Guide technical decisions across teams and platforms while mentoring senior engineers and influencing engineering culture.
Own the technical operation of the PLM platform, including installation, configuration, performance tuning, upgrades, migrations, integrations, and high availability. Partner with functional, engineering, and manufacturing teams to maintain a reliable, performant, and secure PLM environment.
Define and lead organization-wide strategies, reusable patterns, and tooling for prompt design, agentic workflows, and LLM-based application architectures. Build evaluation frameworks and developer tools that scale across teams, while guiding responsible application of LLM techniques.
Design, build, and operate secure, highly available AWS cloud platforms and production workloads, using infrastructure as code, automation, and CI/CD. Improve platform security, observability, resilience, and cost efficiency while collaborating with application, security, and SRE teams.
The PeopleSoft Framework Developer will own the technical backbone of the PeopleSoft platform, including upgrades, image applications, and security configurations. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior staff.
The Enterprise Cloud Architect will design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. The role focuses on creating abstraction layers, federated identity, and cross-cloud networking to simplify complexity for product teams.
The Adobe CMS Developer will design and build enterprise-grade digital experiences using AEM Sites, Assets, and Cloud Service. Responsibilities include developing components, templates, and backend logic while optimizing performance and integrating with the broader Adobe Experience Cloud ecosystem.
The Digital Experience Developer will build and maintain enterprise digital experiences using the Sitecore platform. Responsibilities include backend C#/.NET development, front-end work, content modeling, and managing platform integrations.
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 Salesforce Middleware Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. This role involves collaborating with cross-functional partners to translate requirements into well-engineered solutions while providing technical mentorship to junior engineers.
The engineer will design, deploy, and manage enterprise-grade Red Hat OpenShift clusters across on-premises and cloud environments. They are also responsible for automating cluster lifecycle management and building robust CI/CD pipelines.
The Software Security Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They will identify vulnerabilities and reduce risk across the application portfolio while balancing offensive and defensive security practices.
Design and implement end-to-end cloud solutions including networking, storage, and identity services. Lead architecture reviews, define cloud standards, and drive migration and modernization initiatives.
The SAP Fiori Solutions Engineer will design, build, and enhance modern, user-friendly SAP applications while owning the full development lifecycle. They will collaborate with functional consultants and UX teams to deliver responsive applications across desktop, tablet, and mobile devices.
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 ServiceNow 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 driving standards for data, integration, and security to ensure the platform remains scalable and aligned with business priorities.
Design, develop, and maintain integrations between Workday and the enterprise application landscape. Collaborate with cross-functional partners to translate requirements into engineered solutions while providing mentorship to junior engineers.
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 zero-trust security policies, and optimize mesh performance across multi-cluster environments.
The Cloud Connectivity Engineer will design, deploy, and manage secure, scalable cloud networking infrastructure across major platforms. Responsibilities include automating network configurations using Infrastructure as Code and collaborating with teams to optimize performance and security.
Develop and implement network automation solutions using Python and various infrastructure-as-code tools to streamline configuration and observability. Collaborate with network teams to build CI/CD pipelines and manage source-of-truth platforms for enterprise network environments.
The PeopleSoft Middleware Engineer will design, build, and operate enterprise integrations connecting PeopleSoft applications to internal and third-party systems. This role involves managing the integration layer, including service operations, security configurations, and error handling while collaborating with cross-functional teams.
The developer will design, develop, and support customizations, integrations, and enhancements for enterprise PeopleSoft applications including HCM, FSCM, and Campus Solutions. They will own the technical implementation of business requirements and ensure all developments meet enterprise standards for quality and maintainability.
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 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 post-go-live support.
The VMware Consultant will design, deploy, and manage enterprise virtualization and cloud infrastructure across on-premises and hybrid environments. They will also be responsible for automating infrastructure tasks, monitoring performance, and troubleshooting complex compute, storage, and networking issues.
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 developing self-service tooling to improve reliability and operational efficiency across engineering teams.
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 system resilience and scalability.
Design and implement high-performance CUDA kernels for compute-intensive AI and HPC workloads. Profile and optimize GPU code while collaborating with cross-functional teams to improve training and inference pipelines.
The AI Performance Optimization Engineer will profile and optimize end-to-end AI training and inference pipelines to maximize throughput and minimize latency. They will also implement advanced techniques like quantization, distributed training, and compiler-level optimizations to improve model performance and cost-efficiency.
Design and execute fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning techniques. Build scalable training pipelines and implement rigorous evaluation suites to ensure model quality and safety.
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 Oracle ERP Analyst will gather and analyze business requirements while supporting end-to-end financial processes within Oracle Fusion Cloud. They are responsible for managing system integration and user acceptance testing, including defect identification and resolution tracking.
The developer will design, develop, and maintain integrations between UKG Pro WFM and various enterprise applications using Dell Boomi. They will also lead the end-to-end migration process from Kronos Workforce Central to UKG Pro WFM, including data mapping, validation, and post-go-live support.
The Principal Software Engineer will design high-scale distributed systems and lead cross-team technical initiatives. They are responsible for shaping engineering culture and mentoring senior engineers while driving architectural decisions at an enterprise scale.
The role involves designing and building software tooling to accelerate semiconductor design and verification workflows, including firmware and low-level software development. You will also build infrastructure for large-scale EDA tool execution and develop post-silicon validation systems.
Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments. Build scalable training infrastructure and monitor deployed policies in production for performance and safety.
The OpenShift Administrator will design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms across on-premises and cloud environments. They are responsible for the end-to-end platform lifecycle, including cluster provisioning, hardening, workload onboarding, and ongoing operations.
The engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems in production. They will apply software engineering principles to infrastructure and operations to improve platform reliability and reduce operational toil.
The consultant will build and maintain solutions across various ServiceNow modules including ITSM, ITOM, HRSD, and CSM. They are responsible for hands-on configuration, development, and platform maintenance while ensuring best practices for performance and upgrade safety.
The role involves managing, administering, and monitoring enterprise middleware platforms built on JBoss EAP while supporting Azure DevOps CI/CD pipelines. You will be responsible for platform installation, configuration, performance tuning, and ensuring high availability through clustering and failover strategies.
