The developer will design, develop, and support customizations, integrations, and enhancements for enterprise PeopleSoft applications. They will own the technical implementation of business requirements and ensure all developments meet enterprise standards for quality and maintainability.
The developer will own the technical backbone of the PeopleSoft platform, including upgrades, image applications, and security configurations. They will also collaborate with cross-functional teams to translate requirements into engineered solutions and mentor junior engineers.
The consultant will architect, deploy, and manage large-scale OCI environments, including landing zones, networking, and infrastructure-as-code. They will also partner with cross-functional teams to ensure secure, resilient operations and drive cost optimization across cloud platforms.
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 Oracle Cybersecurity 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 cloud solutions.
The Principal 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.
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 providing mentorship and code reviews.
The specialist will design, build, and operate enterprise integration scenarios connecting SAP S/4HANA with various third-party and cloud-based systems. They are responsible for the full integration lifecycle, including requirements analysis, interface design, development, testing, deployment, and post-go-live support.
The SAP HANA Solutions Architect 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 performance issues across the SAP landscape.
The SAP Compliance Engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes. Responsibilities include SAP role design, user provisioning, segregation-of-duties analysis, and technical operation of SAP GRC suites.
The 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.
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.
The Principal Java Developer 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 Data Transformation Specialist will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This role manages the full data migration lifecycle, including extraction, transformation, validation, and cutover to ensure accurate enterprise data integration.
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 SAP systems across on-premises and cloud environments.
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.
The Enterprise Storage Specialist will design, deploy, and operate 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 ensuring performance and data protection.
The developer will design and build enterprise-grade digital experiences using AEM Sites, Assets, and AEM as a Cloud Service. Responsibilities include developing backend logic, front-end components, and integrating with the broader Adobe Experience Cloud ecosystem.
The AI Research Engineer will design, prototype, and evaluate applied AI solutions while bridging the gap between cutting-edge research and production engineering. They will also build scalable ML pipelines and optimize models for accuracy, latency, and cost in a production environment.
The Azure Cloud Engineer will design and operate Azure Kubernetes Service clusters at scale while implementing robust monitoring and observability strategies. They will also manage CI/CD pipelines using Azure DevOps or GitHub Actions and write maintainable automation code in PowerShell, Bash, and Python.
The ML Platform Engineer will design, build, and operate high-performance inference platforms for serving large machine learning models in production. Responsibilities include optimizing GPU utilization, implementing multi-tenant routing, and ensuring end-to-end observability for AI services.
Architect end-to-end IIoT solutions including edge devices, cloud platforms, and data acquisition pipelines from industrial systems. Collaborate with cross-functional teams to implement secure connectivity, real-time analytics, and predictive maintenance models.
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, drift, 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 monoliths, and ensuring system resilience, security, and scalability.
The Principal Software Engineer will design high-scale distributed systems and lead cross-team technical initiatives. They are responsible for shaping engineering culture and making critical architectural decisions at an enterprise scale.
The developer will be responsible for developing, customizing, and integrating Guidewire solutions including PolicyCenter, BillingCenter, and ClaimCenter. They will also manage Guidewire Cloud upgrades and perform product model configuration.
The LLM Engineer will design and operationalize fine-tuning workflows for large language models using supervised, preference-based, and reinforcement learning techniques. They will also lead dataset construction, manage training pipelines on GPU clusters, and collaborate with cross-functional teams to deliver production-grade AI solutions.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile and embedded systems. Ensure reliable AI performance by managing trade-offs in compute, memory, energy, and connectivity.
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 data pipelines for silicon characterization.
The Staff Software Engineer will lead complex, cross-team engineering initiatives and drive platform modernization efforts. They are responsible for providing technical leadership, mentoring senior engineers, and ensuring operational excellence across large-scale systems.
The Workday Middleware Engineer will design, develop, and maintain complex integrations between Workday and the broader enterprise application landscape. The role involves collaborating with cross-functional partners to translate requirements into well-engineered solutions while providing technical mentorship and code reviews.
The Systems Automation 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 multiple cloud environments.
The Salesforce Technical Consultant 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 Systems Observability Specialist 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 ServiceNow Architect will lead the design, governance, and long-term evolution of the ServiceNow platform across various modules. They will drive standards for data, integration, and security to ensure the platform remains scalable and aligned with business priorities.
Design and implement high-performance CUDA kernels for compute-intensive AI and HPC workloads. Collaborate with cross-functional teams to optimize GPU performance, memory usage, and multi-node training pipelines.
The Software Security Engineer will embed security practices throughout the software development lifecycle by partnering with engineering teams. They are responsible for designing secure systems, identifying vulnerabilities, and reducing risk across the application portfolio.
The Salesforce Middleware 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 engineered solutions while providing mentorship and code reviews.
The Workday Solutions Developer will manage technical configuration, custom report design, and integration support for HR, finance, and IT stakeholders. The role also involves developing lightweight application extensions and maintaining the Workday platform through business process design and tenant management.
The API Solutions 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.
Design, train, and deploy reinforcement learning systems to solve complex decision-making problems. Ensure the stability, safety, and ongoing improvement of RL solutions as they transition from research to production environments.
The role involves designing and deploying advanced machine learning systems that bridge applied research and production engineering. You will collaborate with cross-functional teams to translate business problems into scalable AI solutions while ensuring model accuracy, fairness, and reliability.
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 engineers, and partnering with executive leadership to guide engineering initiatives.
The ML Performance Engineer will optimize end-to-end AI training and inference pipelines to maximize throughput and minimize latency. They will also implement advanced techniques like quantization, model parallelism, and compiler-level optimizations to improve system efficiency.
The Technical Solutions Architect will design and govern enterprise-grade application architectures across cloud, integration, and data domains. They will partner with business stakeholders and engineering teams to translate strategic objectives into scalable, maintainable technology solutions.
The MLOps Engineer will design and operate high-performance inference platforms for large machine learning models in production. Responsibilities include optimizing GPU utilization, managing autoscaling systems, and ensuring end-to-end observability for diverse model workloads.
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 scalable training pipelines, and collaborate with cross-functional teams to operationalize model performance.
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 tune GPU performance across training and inference pipelines.
The SAP Governance & Risk Engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes. Responsibilities include SAP role design, user provisioning, segregation-of-duties analysis, and technical operation of SAP GRC suites.
Design and operate the platform layer for large-scale AI training and inference workloads, including GPU clusters and distributed training frameworks. Build scheduling, resource-sharing systems, and developer tooling to maximize accelerator utilization and efficiency.
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, conduct threat modeling, and perform manual code reviews to reduce risk across the application portfolio.
The Guidewire Solutions Engineer will deliver configuration, integration, and customization across the Guidewire InsuranceSuite and Guidewire Cloud. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while providing mentorship and technical oversight.
The AEM Solutions Engineer will design and develop enterprise-grade digital experiences using AEM Sites, Assets, and Cloud Service. Responsibilities include building backend logic, front-end components, and integrating with the broader Adobe Experience Cloud ecosystem.
The engineer will design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms across on-premises and cloud environments. They will manage the end-to-end platform lifecycle, including cluster provisioning, workload onboarding, and continuous operational improvement.
Design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. Collaborate with ML researchers to build high-throughput data loading systems and ensure data quality, lineage, and privacy across the AI estate.
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 Salesforce 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 junior engineers to ensure scalable and reliable production solutions.
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 establishing technical standards, managing integrations, and ensuring the platform remains scalable and secure.
Design, optimize, and deploy machine learning models for resource-constrained edge devices including mobile and embedded systems. Collaborate with cross-functional teams to implement inference runtimes, model updates, and performance benchmarking while ensuring privacy and security.
The developer will design and maintain ServiceNow solutions across various modules including ITSM, ITOM, HRSD, and CSM. They are responsible for building workflows, developing integrations, and ensuring platform performance through clean, upgrade-safe code.
Design, develop, and maintain complex Workday integrations using EIB, Studio, and various APIs to connect with payroll, benefits, and finance systems. Collaborate with cross-functional stakeholders to translate business requirements into well-engineered solutions while ensuring system reliability and security.
The AI Security Engineer will lead the design and implementation of security controls, threat models, and incident response strategies for AI and machine learning systems. They will also secure training pipelines, conduct red-team exercises, and ensure compliance with regulatory obligations.
The Sitecore Solutions Engineer 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 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, define SLOs, and build self-service tooling to support engineering teams.
The Site Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. Responsibilities include defining service-level objectives, automating operational tasks, and leading incident response efforts.
The Coupa Middleware Developer 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 technical solutions and mentoring junior engineers through code and design reviews.
The Salesforce Technical 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 Cloud Transformation Architect will design and govern cloud-native solutions across compute, networking, data, identity, and security domains. They will partner with stakeholders and engineering teams to translate strategic objectives into scalable and cost-effective cloud architectures.
The role involves gathering and documenting business requirements to deliver ServiceNow solutions while managing production support and platform administration. You will facilitate stakeholder workshops, lead testing activities, and collaborate with technical teams to ensure scalable and efficient platform performance.
The Data Platform Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption layers. They will also establish data modeling standards and partner with cross-functional teams to ensure scalable and reliable data infrastructure.
The engineer will design and build high-throughput backend platform services and shared infrastructure to support product teams. They will also establish robust observability, capacity planning, and incident response practices to ensure system reliability and performance.
The Salesforce Solutions 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 SAP Infrastructure Specialist 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, hybrid, and cloud environments.
Architect, design, develop, deploy, and maintain enterprise web applications, distributed systems, and cloud-native services throughout their operational lifecycle. Collaborate with product managers, architects, DevOps engineers, and developers in an Agile environment to deliver secure, high-performing applications.
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 manage the full integration lifecycle, including requirements analysis, interface design, development, testing, deployment, and post-go-live support.
The Boomi Middleware Developer will own the full integration lifecycle, including analysis, design, development, and deployment of enterprise solutions. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
Design, build, and optimize HANA-native data models and analytical objects to support S/4HANA and BW/4HANA platforms. Act as the primary expert for diagnosing and resolving complex HANA performance issues across the SAP landscape.
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 mentoring junior engineers.
Architect, install, configure, upgrade, and operate enterprise PeopleSoft environments, including PeopleTools, security, search, application and process scheduler servers, and cloud or middleware integrations. Collaborate with cross-functional stakeholders to deliver production-ready solutions, and contribute through code and design reviews, documentation, and mentorship.
Design, develop, and maintain enterprise-scale ETL/ELT pipelines to support business intelligence, analytics, and cloud data modernization. Collaborate with cross-functional teams to automate workflows and ensure the delivery of high-quality, trusted data across the organization.
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 troubleshoot SAP S/4HANA solutions while preparing functional specifications for technical development.
Design, build, and operate SAP BTP extensions, side-by-side applications, and integration scenarios, using platform services for application development, integration, data and analytics, and AI. Deliver clean-core extensions for SAP S/4HANA and other SAP applications, applying SAP integration best practices and multi-tenant SaaS design principles.
The Oracle Integration Specialist will design, build, and operate enterprise integration scenarios connecting Oracle Cloud Applications with third-party platforms. They will own the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
The OCI Platform 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 support.
Design, build, and enhance complex enterprise-grade applications and data-intensive services. Collaborate with product, data, and infrastructure teams to translate business problems into robust technical solutions.
The SAP Access Control Engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes. Responsibilities include SAP role design, user provisioning, segregation-of-duties analysis, and technical operation of SAP GRC suites.
The SAP UX Developer will design, build, and enhance modern, user-friendly SAP applications while owning the full Fiori/UI5 development lifecycle. They will collaborate with functional consultants and UX teams to deliver responsive applications across desktop, tablet, and mobile devices.
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 SAP Data Migration Engineer will design and execute 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 data accuracy and compliance.
The Senior Server-Side Engineer will design, build, and operate foundational platform services including request routing, traffic management, and caching layers. This role focuses on creating high-throughput backend capabilities that ensure predictable latency and minimal operational toil for other engineering teams.
The developer will design, develop, and integrate software for autonomous robotic systems using C++ and Python. Responsibilities include implementing perception, localization, SLAM, and motion planning algorithms while collaborating with cross-functional 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 PLM Technical Consultant will design, install, and optimize enterprise PTC Windchill and Siemens Teamcenter environments while leading platform upgrades and modernization initiatives. They will also collaborate with cross-functional teams to ensure system performance, security, and seamless integration with enterprise applications.
Design, develop, and manage enterprise-scale integration solutions using the Dell Boomi AtomSphere platform. Collaborate with cross-functional teams to drive API strategy, event-driven architecture, and platform modernization initiatives.
Design, develop, and maintain enterprise-grade integrations between PTC Windchill and various business-critical applications like ERP and CAD systems. Optimize integration performance, troubleshoot production issues, and collaborate with cross-functional stakeholders to deliver scalable integration solutions.
The Software Quality Engineer will design, develop, and maintain automated testing frameworks for web, API, and distributed systems. They will partner with development teams to integrate automation into CI/CD pipelines and ensure high-quality software delivery.
Design, develop, and maintain enterprise-scale integration solutions using the MuleSoft Anypoint Platform and API-led connectivity principles. Lead architecture reviews, mentor engineering teams, and collaborate with stakeholders to ensure scalable, secure, and high-performance integration landscapes.
Design and develop low-latency trading, pricing, and risk management systems for fintech applications. Collaborate with quantitative analysts, traders, 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 maintain advanced Java customizations within the PTC Windchill platform to support enterprise PLM solutions. They will also lead modernization initiatives, perform architecture reviews, and provide technical mentorship to the development team.
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 high system performance and reliability.
The Cloud Network Engineer will design, deploy, and operate cloud networking infrastructure, including VPC/VNet architectures and hybrid connectivity solutions. They will also implement network security controls, automate infrastructure using Terraform, and provide mentorship to junior team members.
The Coupa Integration Developer will design, develop, and maintain integrations between Coupa BSM and various enterprise systems including ERP, finance, and HR platforms. The role involves building robust data flows, implementing security protocols, and optimizing integration performance for high-volume scenarios.
The Cloud Architect will design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. They are responsible for defining federated identity, cross-cloud networking, and infrastructure-as-code patterns to ensure operational consistency and security.
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 workloads.
Architect, deploy, and operate enterprise-grade Red Hat OpenShift container platforms across on-premises and cloud environments. Manage the end-to-end platform lifecycle, including cluster provisioning, security hardening, and developer enablement.
The Network Automation Engineer will build 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 and provide mentorship to junior engineers.
The Cloud Solutions Architect will design and govern scalable, secure, and cost-effective cloud-native solutions across compute, networking, and data domains. They will lead architecture reviews, drive migration initiatives, and partner with engineering teams to ensure alignment with enterprise standards.
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 role involves designing and developing 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 developer will design and maintain enterprise digital experiences using Sitecore XP, XM Cloud, and Content Hub. Responsibilities include backend C#/.NET development, headless implementation, and migrating legacy systems to modern composable architectures.
The developer will perform configuration, integration, and customization across the Guidewire InsuranceSuite and Cloud platforms. They will also collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
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 via PowerCLI and Terraform, and ensuring infrastructure capacity and performance.
The developer will design and maintain complex Workday configurations, including custom reports, calculated fields, and business processes. They will also collaborate with cross-functional stakeholders to build Workday Extend applications and ensure robust integration support.
The Service Mesh Engineer will design, deploy, and operate service mesh platforms like Istio and Linkerd across multi-cluster Kubernetes environments. They will also implement security policies, optimize mesh performance, and develop adoption patterns for application teams.
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 infrastructure-as-code practices.
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 ensures mission-critical system availability, security, and compliance while managing database operations and system migrations.
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 Cloud Infrastructure Network Engineer will design, deploy, and operate cloud networking infrastructure across major cloud providers. This role involves collaborating with cross-functional teams to translate requirements into engineered solutions while providing mentorship and code reviews.
The Coupa API Developer will design, develop, and maintain integrations between Coupa BSM and the broader enterprise application landscape. This role involves collaborating with cross-functional partners to translate requirements into well-engineered solutions while mentoring junior engineers.
Design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. Focus on portability, abstraction layers, federated identity, and cross-cloud networking to simplify complexity for product teams.
The Enterprise Cloud Architect will design and govern cloud-native solutions across compute, networking, data, identity, and security domains. They will partner with stakeholders to translate strategic objectives into scalable, cost-effective, and secure cloud architectures.
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 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 platforms including XP, XM Cloud, and Content Hub. Responsibilities include backend C#/.NET development, front-end implementation, content modeling, and managing platform migrations.
Design, develop, and maintain integration flows between Oracle Cloud Applications and third-party systems using Oracle Integration Cloud. Manage the full integration lifecycle, including performance optimization, error handling, and post-go-live support.
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.
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 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 OCI Solutions Architect will design, deploy, and manage enterprise-grade cloud environments, including landing zones and networking topologies. They will also implement infrastructure-as-code, CI/CD pipelines, and security protocols while optimizing cloud costs and performance.
The consultant 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 and execute large-scale data migration strategies for SAP S/4HANA environments, covering the full lifecycle from extraction to cutover. They will also collaborate with functional teams to ensure data accuracy, compliance, and performance optimization during migration processes.
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.
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 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 ensuring compliance with regulatory frameworks like SOX and PCI.
The Virtualization Engineer will design, deploy, and operate VMware-based virtualization, software-defined networking, and storage platforms. The role focuses on automation, capacity management, and maintaining large-scale VMware estates alongside modern cloud-native workloads.
Design, develop, and support customizations, integrations, and enhancements for enterprise PeopleSoft applications including HCM, FSCM, and Campus Solutions. Partner with functional consultants to translate business requirements into clean technical designs while ensuring system stability and performance.
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, high-performance technical solutions.
The developer will handle Workday configuration, custom report design, and integration support while working with cross-functional stakeholders. They are also expected to perform code reviews, design reviews, and mentor junior engineers to ensure high-quality production solutions.
The developer will design, build, and enhance modern SAP Fiori applications while managing the full development lifecycle. They will collaborate with functional consultants and UX teams to ensure responsive, high-performance applications across various devices.
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 are met.
The consultant 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 QA Automation Engineer will design, develop, and maintain automated testing frameworks for web, API, and distributed systems. They will partner with development teams to integrate automation into CI/CD pipelines and ensure high-quality software delivery.
You will build low-latency, high-reliability trading, risk, and analytics systems by translating mathematical models into production-quality software. You will also collaborate with cross-functional teams and mentor junior engineers to ensure high performance and operational excellence.
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.
Design, build, and integrate software across the robotics stack, including sensor integration, motion planning, perception, and behavioral systems. Collaborate with cross-functional teams to deliver production-ready solutions, support field tests and hardware integration, and contribute through code and design reviews and mentorship.
Design and build high-performance Go backend services, infrastructure tooling, and cloud-native applications, with a focus on latency, concurrency, and operational efficiency. Collaborate across teams to turn ambiguous requirements into production-ready solutions, and contribute through code and design reviews, documentation, and mentoring.
Design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. Collaborate with hardware and EDA teams to improve silicon development, and contribute through code and design reviews, mentorship, and cross-functional delivery.
Design, build, and improve test automation frameworks and production-quality test code across unit, integration, end-to-end, performance, and security testing. Partner with cross-functional teams to embed quality throughout the SDLC, clarify requirements, review designs and code, and mentor junior engineers.
Design, build, and operate high-throughput backend platforms and shared services, including request routing, traffic management, caching, asynchronous job execution, and durable event processing. Lead cross-team platform initiatives that improve reliability, predictable latency, operational efficiency, and the developer experience.
Design, develop, deploy, monitor, and support enterprise integrations using Boomi AtomSphere, partnering with application teams, architects, and integration partners throughout the integration lifecycle. Translate requirements into production-ready solutions, contribute to code and design reviews, and mentor junior engineers.
Own the technical operation of the PLM platform, including installation, configuration, performance tuning, upgrades, migrations, integrations, and high availability. Partner with engineering, manufacturing, and functional teams to maintain a reliable, performant, and secure PLM environment.
Build low-latency, reliable trading, risk, and analytics systems, translating quantitative models into production-quality software. Collaborate with quants, traders, and cross-functional partners, while contributing through code and design reviews and mentoring junior engineers.
Architect, deploy, and operate large-scale 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, documentation, and mentorship.
You will be responsible for designing, developing, and maintaining PeopleSoft applications while collaborating with cross-functional teams. This role involves gathering requirements, analyzing business processes, and implementing customizations within the PeopleSoft system.
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 mentor junior developers on best practices.
The developer will design and operate enterprise-grade microservices architectures and build front-end applications using React. They are also responsible for maintaining CI/CD pipelines and ensuring system reliability through effective debugging and root-cause analysis.
The consultant will perform hands-on SAP PP configuration to optimize manufacturing and aftermarket service workflows. They will lead S/4HANA implementations, gather business requirements, and provide post-go-live support for global operations.
The Technical Delivery Manager will oversee service delivery for customer accounts while acting as a trusted advisor to the Account General Manager. They are responsible for managing cross-functional teams, ensuring contractual compliance, and driving metrics-based governance to optimize profitability and client value.
The consultant will configure and support SAP EWM processes, including inbound, outbound, and internal warehouse movements. They will also be responsible for analyzing business requirements, preparing functional specifications, and providing production support.
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 OIC 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 perform deep, low-level Windchill customizations using Java and PTC APIs while maintaining a clean, upgrade-friendly architecture. They will also collaborate with cross-functional teams to translate requirements into solutions and mentor junior engineers.
The engineer will architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle Cloud Infrastructure. They will own the full engineering lifecycle, including landing-zone design, infrastructure-as-code, workload migration, and ongoing operations.
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 PeopleTools Consultant will manage the architecture, installation, configuration, and upgrades of enterprise PeopleSoft environments. They will also collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
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, code review, and deployment.
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 Lead Backend Developer will design, build, and operate foundational platforms and shared services to support high-throughput engineering needs. This role involves managing request routing, traffic management, caching layers, and asynchronous event processing to ensure system reliability and performance.
The Lead Backend Engineer will design, build, and operate large-scale, high-throughput backend services for mission-critical workloads. They will architect core platforms with a focus on scalability, reliability, performance, and clean engineering practices.
The MuleSoft Integration Engineer 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.
The Quantitative Developer 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.
The 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.
Design, build, and integrate software systems for autonomous robots and robotic platforms. Collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
The developer will design, build, and operate enterprise integrations connecting PeopleSoft applications to internal systems, cloud applications, and third-party platforms. They will also collaborate with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
The Lead Java Full Stack Engineer will architect, design, and develop 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 Oracle Security Engineer will design, implement, and operate security controls across Oracle Cloud Infrastructure and hybrid environments. They will also manage identity and access, lead vulnerability programs, and respond to security incidents.
The SAP Integration 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 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 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 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.
Design, build, and operate integrations connecting PTC Windchill with ERP, MES, CAD, and other engineering systems. Own the technical integration layer and collaborate with cross-functional partners to translate requirements into engineered solutions.
The consultant will design, build, and optimize HANA-native data models and analytical objects to support 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 operate extensions and integration scenarios on the SAP Business Technology Platform. They will leverage BTP services to deliver clean-core extensions for SAP S/4HANA and other enterprise applications.
The Streaming Data Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. They will manage the platform end-to-end, including cluster configuration, security, automation, and developer enablement.
The developer will design, develop, and support customizations, integrations, and enhancements on the Windchill PLM platform. They will collaborate with cross-functional teams to translate business requirements into engineered solutions while providing mentorship to junior engineers.
The SAP UI5 Developer will design, build, and enhance modern, user-friendly SAP applications while owning the full Fiori/UI5 development lifecycle. They will collaborate with functional consultants, ABAP developers, and UX teams to deliver responsive applications across various devices.
You will design, build, and improve automation frameworks while writing production-quality test code. Additionally, you will partner with development teams to embed quality engineering throughout the SDLC and mentor junior engineers.
Design, develop, and maintain robust automated testing frameworks for enterprise web, API, and distributed systems. Partner with development teams to expand test coverage and integrate automation into CI/CD pipelines.
Design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments. Collaborate with cross-functional teams to optimize GPU utilization, latency, and reliability for large-scale machine learning workloads.
The Edge ML Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile and embedded systems. This role involves performing hardware-aware optimizations and ensuring reliable AI deployment outside of traditional data centers.
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 mentoring junior engineers to ensure robust production-ready solutions.
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 LLM workflows, training pipelines, and AI-powered applications against threats like prompt injection and data exfiltration.
The Workday API Developer will design, develop, and maintain integrations between Workday and the broader enterprise application landscape. The role involves hands-on delivery using EIB, Studio, Core Connectors, and various Workday APIs while ensuring reliability and data quality.
The Salesforce Application Engineer 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 Enterprise Data Architect will define and lead the architecture of the enterprise data platform, overseeing ingestion, storage, processing, and consumption layers. They will establish data modeling standards and partner with cross-functional teams to ensure a scalable, secure, and high-performing data foundation.
The Embedded AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices and specialized accelerators. Responsibilities include tuning model performance for latency and energy efficiency while building cross-platform inference runtimes.
The Platform Automation Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform across cloud and hybrid environments. This role involves creating reusable modules, enforcing policy-as-code, and standardizing infrastructure delivery pipelines.
The CRM Technical Architect will design and govern enterprise Salesforce implementations across multiple clouds while establishing technical standards for security, integration, and customization. They will lead solution design, mentor engineering teams, and partner with business stakeholders to deliver scalable, maintainable CRM solutions.
The Platform Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. They will apply software engineering principles to infrastructure to improve reliability and reduce operational toil.
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 Enterprise ServiceNow Architect will define and lead the architecture of the enterprise data platform, overseeing ingestion, storage, processing, and consumption layers. They will establish data modeling standards, design scalable pipelines, and partner with cross-functional teams to ensure platform alignment with business needs.
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 reliability and efficiency of AI infrastructure.
Design and operate large-scale data systems to support AI training, evaluation, and continual improvement workflows. Build and maintain high-throughput ingestion, transformation, and quality assurance pipelines for diverse data modalities.
Design, develop, and maintain secure, reliable Workday integrations using EIB, Workday Studio, Core Connectors, Cloud Connect, and APIs, including data transformations, error handling, and tenant security configuration. Collaborate with business and technical stakeholders, support production incidents and release testing, and maintain documentation while contributing to design reviews, code reviews, and mentorship.
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 platform integrations while ensuring the system remains upgrade-safe and performant.
Design and build production-grade Salesforce solutions using Apex, Lightning Web Components, Flow, and integration platforms. Deliver custom business logic, integrations, user interfaces, and automation that meet enterprise requirements while respecting platform limits and supporting long-term maintainability.
The consultant will perform hands-on requirements gathering, design, testing, and implementation of SAP FI-CO modules. They are responsible for configuring SAP systems, managing cross-functional integrations, and developing DMEE XML structures for banking processes.
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 implementing security improvements to reduce risk across the application portfolio.
The Site Observability Engineer will design and operate enterprise-grade observability platforms including metrics, logging, tracing, and alerting systems. They will also define service level objectives and build self-service tooling to ensure high system reliability and actionable insights for engineering teams.
The Enterprise Architect will define and govern enterprise-wide DevSecOps, Platform Engineering, and Observability standards. They will also collaborate with business and IT leaders to create architecture blueprints and drive the adoption of innovative technology solutions.
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 Senior Backend Engineer will design, build, and operate large-scale, high-throughput distributed systems to power mission-critical workloads. They will also lead architecture reviews, mentor mid-level engineers, and drive reliability improvements across the platform.
The Senior Backend Developer will design, build, and operate foundational platforms and shared services to support high-throughput traffic. This role involves managing request routing, data fan-out, caching layers, and durable event processing to ensure system scalability and reliability.
Design, develop, and maintain robust automated testing frameworks for enterprise web, API, and distributed systems. Partner with development teams to expand test coverage and integrate automation into CI/CD pipelines.
The SDET Engineer will design, build, and maintain robust, scalable test automation frameworks for web, API, mobile, and microservice environments. They will also collaborate with cross-functional teams to embed quality engineering practices throughout the SDLC and mentor junior engineers.
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.
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.
Design and implement low-latency trading, pricing, and risk systems using C++, Java, or Python. Collaborate with quants and traders to translate mathematical models into production-quality software while ensuring system observability and performance optimization.
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.
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.
The Windchill Integration Developer will design, build, and maintain integrations between PTC Windchill and enterprise systems like ERP, MES, and CAD. They will also lead migration efforts, optimize integration performance, and mentor junior engineers to ensure robust system stability.
The Infrastructure Reliability Engineer will design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. They will also build high-throughput ingestion and loading systems while ensuring data quality, lineage, and privacy across the AI data estate.
The AI Data Platform Engineer will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption layers. They will also partner with cross-functional teams to establish data standards, governance, and scalable data infrastructure.
The AI Operations 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 ServiceNow Developer will build and maintain solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. The role involves hands-on configuration, scripting, and integration work while ensuring the platform remains upgrade-safe and performant.
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 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.
Profile and optimize AI training and inference pipelines for throughput, latency, memory use, and cost, including distributed workloads, LLM serving, data pipelines, and compiler-level performance. Build benchmarks and regression frameworks, evaluate hardware and software, collaborate with ML and platform teams, and document performance practices.
Design, build, and operate Azure cloud infrastructure, including core services and scalable Azure Kubernetes Service clusters. Automate infrastructure and application delivery, and implement security, monitoring, alerting, and observability for distributed workloads.
Design, build, and operate secure, highly available AWS cloud platforms and mission-critical production workloads. Develop infrastructure as code and automation, strengthen security and observability, and collaborate with application, security, and SRE teams to improve resilience and cost efficiency.
Define organization-wide standards, architectures, and reusable tools for LLM applications, including prompt design, agentic workflows, and retrieval-augmented generation. Develop evaluation and safety practices, review designs, mentor teams, and optimize application quality, latency, and cost.
Design and operate large language model fine-tuning workflows, including dataset curation, distributed training, preference optimization, and rigorous model and safety evaluation. Manage reliable, reproducible GPU training pipelines, collaborate across teams to align work with business needs, and mentor engineers on fine-tuning and responsible deployment.
Design and guide the development of reliable, high-scale distributed systems, making architectural decisions across the enterprise. Lead cross-team technical initiatives, mentor senior engineers, and help shape engineering culture.
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, drift, and safety.
Define and govern end-to-end enterprise solution architectures, including application, integration, data, security, and infrastructure designs, while ensuring alignment with business requirements and enterprise standards. Lead modernization and cloud initiatives, guide engineering teams, produce architecture artifacts, and promote secure, cost-effective, resilient, and standardized solutions.
Design, prototype, and evaluate applied AI solutions, translating business problems into measurable ML objectives and applying rigorous research and experimentation methods. Build and optimize production training and inference systems, monitor data and model quality, evaluate safety and fairness, and collaborate with stakeholders while mentoring engineers and informing the AI roadmap.
The Snowflake Administrator will manage, optimize, and secure the Snowflake data platform while ensuring high performance and cost efficiency. They will collaborate with engineering teams to support data operations, CI/CD processes, and infrastructure as code initiatives.
Design, implement, profile, and optimize CUDA kernels and GPU libraries for AI, machine learning, and high-performance computing workloads, including multi-GPU and distributed systems. Collaborate with engineering teams to improve production performance, develop benchmarks and regression tests, evaluate GPU architectures, and document optimization decisions.
Design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, and data domains. Partner with business stakeholders and engineering leaders to translate strategic objectives into scalable and maintainable technology solutions.
The AI Optimization 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 solutions while mentoring junior engineers.
The Azure Infrastructure Engineer will design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. They will own the end-to-end cloud engineering lifecycle, including architecture, automation, security hardening, and operational excellence.
The Generative AI 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 rigorous evaluation standards.
The AI Scientist will bridge applied research and production engineering to design and ship advanced machine learning systems. This role involves managing the full lifecycle of AI projects from problem framing and experimentation to deployment and continuous improvement.
The Chip Software Engineer will design and build software tooling, firmware, and infrastructure to support semiconductor development and validation. They will collaborate with hardware and EDA teams to improve silicon development cycles, performance, and quality.
Design and optimize compute-intensive workloads on modern GPU accelerator hardware for AI and scientific computing. Collaborate with cross-functional teams to translate requirements into high-performance solutions while mentoring junior engineers.
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.
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 well-engineered systems and mentor junior engineers.
Lead the design and evolution of large-scale microservices ecosystems using cloud-native technology stacks. Oversee architectural initiatives across multiple teams while ensuring system resilience, security, and maintainability.
The RL Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. They are responsible for taking RL solutions from the lab into production environments while ensuring stability and safety.
The Principal Applications 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 engineering culture.
The AI Prompt Designer will lead the strategy, patterns, and tooling for designing 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 Senior Staff Engineer will provide deep technical leadership across multiple teams to drive complex, cross-cutting engineering initiatives. They will collaborate with cross-functional partners to translate ambiguous requirements into well-engineered solutions while mentoring junior engineers.
Design, develop, troubleshoot, and improve enterprise-grade Python applications and data-intensive services, with attention to security, performance, reliability, and distributed-system requirements. Collaborate with cross-functional teams on architecture, data processing, deployments, incident response, code reviews, and mentoring.
The SAP HANA Platform Engineer will design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA environments. They will also serve as the primary expert for diagnosing and resolving performance issues across the SAP landscape.
The developer will implement and support client applications by collaborating with System Architects and Business Analysts. Responsibilities include developing design artifacts, testing application components, and providing technical analysis support.
The engineer will architect, deploy, and operate secure, scalable, and highly available AWS cloud environments for enterprise production workloads. They are also responsible for developing infrastructure as code, managing container platforms, and driving cloud optimization and security initiatives.
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 implement robust security and observability solutions.
The engineer 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, mentor junior engineers, and collaborate with cross-functional teams to ensure successful silicon bring-up.
The AWS MWAA Administrator is responsible for the design, administration, and optimization of Amazon Managed Workflows for Apache Airflow environments. They will partner with cross-functional teams to ensure reliable, scalable, and secure workflow orchestration across AWS platforms.
The engineer will operate and manage the end-to-end Cloudera CDP platform ecosystem, including data services, Kafka, and AI/ML platforms. They are responsible for ensuring the availability, scalability, security, and performance of platform services supporting mission-critical data and analytics workloads.
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 mentoring junior engineers.
Design, deploy, and manage secure, scalable cloud networking infrastructure across major cloud platforms. Automate network configurations using Infrastructure as Code and collaborate with engineering teams to optimize performance.
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 engineer will develop network automation solutions using Python and various automation frameworks to manage configuration, deployment, and validation. They will also integrate with vendor APIs and manage source-of-truth platforms while collaborating with network teams on best practices.
The engineer will design, deploy, and manage enterprise-grade Red Hat OpenShift clusters across on-premises and cloud environments. They will also automate platform lifecycle management and build robust CI/CD pipelines to support development teams.
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, implement, and support enterprise virtualization and cloud infrastructure across on-premises and hybrid environments. Responsibilities include managing VMware platforms, automating infrastructure tasks, and ensuring system performance and reliability.
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 engineering staff.
The Digital Experience Developer will build and maintain enterprise digital experiences using the Sitecore platform. The role involves backend C#/.NET development, front-end work, content modeling, and managing platform integrations.
The Technical Cloud Architect will design end-to-end cloud solutions, including networking, storage, and identity services while leading architecture reviews. They are also responsible for driving cloud migration, modernization initiatives, and implementing FinOps and cost optimization strategies.
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 LLM 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 engineer will design, build, and maintain modular infrastructure-as-code foundations using Terraform across cloud and hybrid environments. They are responsible for implementing automation pipelines, enforcing policy-as-code, and standardizing infrastructure delivery across multiple teams.
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 business development teams to support win strategies and improve proposal processes.
The developer will design, enhance, and maintain enterprise web applications using Java/J2EE technologies. Responsibilities include writing complex SQL queries, developing batch jobs, and performing root cause analysis on application issues.
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 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 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.
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 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 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 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 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 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 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 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 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 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 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.
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.
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 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.
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 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.
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 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 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 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 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 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 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 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 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 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 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 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.
