The role involves designing, deploying, and operating cloud networking infrastructure, including VPC/VNet architectures and hybrid connectivity solutions. You will also be responsible for automating network infrastructure using Terraform and collaborating with cross-functional teams to ensure secure and scalable network performance.
The Cloud Systems 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 cloud migration initiatives, and partner with engineering teams to ensure alignment with enterprise standards.
The DevSecOps Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems. They will apply software engineering principles to infrastructure and operations to improve platform reliability and reduce manual toil.
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 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, and continuous operational improvement of production workloads.
Develop and maintain enterprise digital experiences using Adobe Experience Manager, including components, templates, and workflows. Integrate AEM with Adobe Experience Cloud and external systems while optimizing site performance and supporting CI/CD pipelines.
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 Research Engineer will design, prototype, and evaluate applied AI solutions while bridging the gap between cutting-edge research and production engineering. They will build scalable ML pipelines, optimize models for performance, and collaborate with cross-functional teams to solve high-impact business problems.
The Cloud Solutions Architect will design and govern cloud-native solutions across compute, networking, data, and security domains. They will lead migration initiatives, define reference architectures, and partner with engineering teams to ensure cost-effective and scalable cloud deployments.
Design, develop, and maintain modular Terraform code to codify infrastructure across cloud environments. Implement automated CI/CD pipelines and enforce policy-as-code to ensure secure and compliant infrastructure delivery.
The LLM Engineer will design, execute, and operationalize fine-tuning workflows for large language models using various training approaches. They will also lead dataset construction, build scalable training pipelines, and collaborate with cross-functional teams to deliver production-grade AI solutions.
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 best practices for LLM integration.
The developer will be responsible for developing, customizing, and integrating Guidewire solutions including PolicyCenter, BillingCenter, and ClaimCenter. They will also handle Guidewire Cloud upgrades and product model configurations.
The Workday Solutions Developer will manage technical configuration, custom report design, and integration support for HR, finance, and IT stakeholders. They will also be responsible for business process design and developing lightweight application extensions using Workday Extend.
The Solution Architect will define end-to-end architectures for enterprise applications, covering integration, data, security, and infrastructure layers. They will also lead architecture review boards and partner with business stakeholders to translate requirements into target-state designs.
The MLOps Engineer will operationalize machine learning models at scale by building and maintaining robust machine learning pipelines. They will contribute to the automation and optimization of business processes through advanced cloud engineering and MLOps practices.
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 production 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 high-performance solutions while mentoring junior engineers.
The AI Prompt Designer will 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 various organizational teams and use cases.
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 Cloud Security Engineer will design and implement security architectures across Oracle Cloud Infrastructure, including identity management, key handling, and workload hardening. They will also lead vulnerability management, incident response, and security automation efforts to ensure compliance with regulatory frameworks.
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 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 consultant will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. Responsibilities include managing the full migration lifecycle, including extraction, transformation, validation, reconciliation, and cutover of enterprise data.
Design, train, and deploy reinforcement learning systems for complex decision-making problems. Ensure the stability, safety, and ongoing improvement of RL solutions as they transition from research to production environments.
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.
The Oracle Cloud Engineer will design, deploy, and manage secure Oracle Cloud Infrastructure environments. They will also build infrastructure as code, manage Kubernetes clusters, and maintain CI/CD pipelines.
Lead the design and evolution of large-scale microservices ecosystems using modern container platforms and cloud-native technologies. Manage distributed data, service decomposition, and ensure system resilience, observability, and security at scale.
The Senior Full Stack Software 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 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 providing production support.
Design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. Act as the primary expert for diagnosing and resolving complex performance issues across the SAP landscape.
The Principal Applications Engineer will lead enterprise-wide architectural initiatives and define long-term technology strategy for scalable distributed systems. This role involves driving strategic engineering decisions, mentoring senior engineers, and serving as a technical authority across multiple 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, ABAP developers, and UX teams.
The Enterprise Solutions Architect will design and govern enterprise-grade application architectures across cloud, data, and integration ecosystems. This role involves partnering with stakeholders to translate strategic objectives into scalable technology solutions that align with enterprise standards.
The developer will design, build, and operate enterprise integration scenarios connecting Oracle Cloud Applications, on-premises systems, and third-party platforms. They are responsible for the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
The 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 workloads.
The PeopleTools Specialist is responsible for the architecture, installation, configuration, and ongoing technical operation of enterprise PeopleSoft environments. Key tasks include performing upgrades, managing system performance, and providing technical support for various PeopleSoft components.
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 to maintain system health.
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.
The Generative AI 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 production-grade solutions while mentoring junior engineers.
Design and build software tooling, firmware, and infrastructure to support semiconductor development, verification, and manufacturing. Collaborate with hardware and EDA teams to improve silicon development cycles, performance, and quality.
The Azure Infrastructure Engineer will own the end-to-end cloud engineering lifecycle, including architecture, infrastructure-as-code, and automation. They will also manage security hardening, cost optimization, and operational excellence for production workloads.
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 Network Operations Engineer will automate network configuration, change management, and observability across multi-vendor enterprise networks. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
Design multi-cloud strategies, reference architectures, and platform capabilities to support enterprise operations across AWS, Azure, GCP, and OCI. Focus on creating abstraction layers, federated identity, and cross-cloud networking to simplify complexity for product teams.
The Virtual Platform Engineer will design, deploy, and operate VMware-based virtualization, software-defined networking, and storage platforms. The role involves managing large-scale VMware estates alongside modern cloud-native workloads with a focus on automation and capacity management.
The Data Storage Architect will design, deploy, and manage enterprise storage platforms including NetApp, Pure Storage, and Ceph. This role supports compute, virtualization, database, and Kubernetes workloads across data center, edge, and cloud environments.
The Senior SAP Technical 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 post-go-live support.
The Edge AI Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. They will also build cross-platform inference runtimes and implement on-device model update workflows to ensure reliable performance in production environments.
Design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Ingest, transform, and analyze massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
The Senior Staff Engineer will provide deep technical leadership across multiple teams to drive complex, cross-cutting engineering initiatives. They will shape architecture, mentor junior engineers, and collaborate with cross-functional partners to deliver ambitious technical roadmaps.
The Data Platform Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption layers. They will establish standards for data modeling and governance while partnering with cross-functional teams to deliver scalable data solutions.
Design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. Focus on platform engineering, traffic policy management, and assisting application teams with mesh adoption.
You will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, and real-time analytics. Additionally, you will collaborate with cross-functional teams to translate requirements into well-engineered systems while mentoring junior engineers.
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 to junior engineers.
The SAP Access Control Engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes. Responsibilities include managing SAP role design, user provisioning, segregation-of-duties analysis, and technical operation of SAP GRC suites.
The Cloud Network Engineer will design, deploy, and operate cloud networking infrastructure including VPC/VNet, hybrid connectivity, and transit topologies. They will also implement security controls, automate network tasks using Terraform, and provide mentorship to junior team members.
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.
The OCI Platform 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 integration scenarios connecting Oracle Cloud Applications, on-premises systems, and third-party platforms. Manage the full integration lifecycle including analysis, development, testing, deployment, and ongoing support.
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 cloud-native solutions that meet strategic business requirements.
The PeopleSoft Platform Developer will own the architecture, installation, configuration, and ongoing technical operation of enterprise PeopleSoft environments. This role involves collaborating with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
Design, build, and enhance modern, user-friendly SAP Fiori applications that meet enterprise standards for performance and maintainability. Collaborate with functional consultants and UX teams to deliver responsive applications across desktop, tablet, and mobile devices.
The SAP BTP Solutions Engineer will design, build, and operate extensions and integration scenarios on SAP's Business Technology Platform. This role involves leveraging BTP services to deliver clean-core extensions for SAP S/4HANA and other enterprise applications.
The Python Solutions Engineer 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 robust, high-performance technical solutions.
The developer will own the full integration lifecycle, including requirements analysis, interface design, development, testing, and deployment. They will connect SAP S/4HANA and other SAP applications with various third-party and cloud-based systems.
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.
Design, build, and optimize HANA-native data models and analytical objects for S/4HANA and BW/4HANA platforms. Act as the primary expert for diagnosing and resolving HANA performance issues across the SAP landscape.
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 from legacy systems.
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 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 operational excellence.
Design, build, and maintain scalable AI inference and model-serving platforms for enterprise production environments. Architect highly available, cloud-native infrastructure supporting Large Language Models and machine learning services.
The consultant will design, implement, and operate security controls across Oracle Cloud Infrastructure and hybrid environments. They will also manage identity and access, lead compliance programs, and respond to security incidents.
The role involves designing and optimizing high-performance software, firmware, and automation solutions for semiconductor design, verification, and manufacturing workflows. The engineer will also lead technical design discussions, mentor junior staff, and collaborate with cross-functional teams to ensure successful silicon bring-up.
The Boomi Middleware Engineer will own the full integration lifecycle, including analysis, design, development, deployment, and monitoring of enterprise integrations. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while providing mentorship to junior engineers.
The QA Engineer will design, develop, and maintain automated testing frameworks for web, API, and distributed systems. They will partner with development teams to expand test coverage and integrate automation into CI/CD pipelines.
Design and implement large-scale distributed backend systems while ensuring high performance, scalability, and reliability. Lead technical architecture reviews and mentor mid-level engineers to maintain high code quality and operational rigor.
The .NET Application 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, hands-on implementation, and post-release support.
The MuleSoft Consultant will design, build, and operate enterprise integration solutions on the MuleSoft Anypoint Platform. They will own the full integration lifecycle, including API development, deployment, observability, and ongoing optimization.
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 system customizations and modifications.
The developer will perform low-level Windchill customizations using Java and PTC frameworks to extend platform functionality. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior staff and ensuring production stability.
Design, develop, and support customizations, integrations, and enhancements on the Windchill PLM platform. Collaborate with cross-functional partners to translate manufacturing and product-lifecycle requirements into well-engineered solutions.
Design, develop, and maintain enterprise 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.
Design, build, and operate technical integrations connecting PTC Windchill with ERP, MES, CAD, and other enterprise systems. Collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior engineers.
The Coupa Integration Engineer 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 team members.
Design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The AI 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.
The Cloud Solutions 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, cost-effective cloud architectures.
The role involves designing, building, and operating large-scale, secure, and highly available cloud platforms on Amazon Web Services. You will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions using infrastructure-as-code and automation.
The AI Research Engineer will bridge applied research and production engineering by designing and shipping advanced machine learning systems. They will manage the full lifecycle of AI projects, from problem framing and experimentation to deployment and continuous improvement.
The Application Security 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 AI Data Engineer will build and operate large-scale data systems to support AI training and evaluation pipelines. This role involves managing data ingestion, transformation, quality assurance, and high-throughput delivery for diverse AI workloads.
The 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.
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 and code reviews.
The Azure Cloud 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 infrastructure-as-code, automation, security hardening, and operational excellence for production workloads.
Design multi-cloud strategies, reference architectures, and platform capabilities across AWS, Azure, GCP, and OCI. Focus on creating abstraction layers, federated identity, and cross-cloud networking to simplify complexity for product teams.
The Cloud Network Engineer will design, deploy, and operate cloud networking infrastructure, including VPC/VNet design and hybrid connectivity. They will collaborate with cross-functional teams to translate requirements into engineered solutions while providing mentorship and code reviews.
The Model Serving Engineer will design, build, and operate high-performance inference platforms for large machine learning models in production. Responsibilities include managing request routing, batching, caching, autoscaling, and ensuring end-to-end observability across diverse workloads.
The developer 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 to junior engineers.
The Data Platform Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic infrastructure direction while collaborating with data engineering, analytics, and business stakeholders to ensure a scalable data foundation.
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.
The OpenShift Platform 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 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 secure, reusable integration solutions.
Lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. Oversee service decomposition, domain-driven design, and the implementation of resilient, secure, and observable distributed systems.
The developer will manage the architecture, configuration, and technical operations of enterprise PeopleSoft environments, including upgrades and security. They will also collaborate with cross-functional teams to translate requirements into engineered solutions and mentor junior engineers.
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.
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.
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 developer will design, build, and operate enterprise integration scenarios connecting Oracle Cloud Applications, on-premises systems, and third-party platforms. They are responsible for the full integration lifecycle, including analysis, development, testing, deployment, and ongoing support.
The Network Automation Engineer will design and implement production-grade automation for network configuration, change management, and observability. They will collaborate with cross-functional teams to translate requirements into scalable solutions while mentoring junior staff.
The Kafka Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. They will own the platform end-to-end, including cluster sizing, security, automation, and developer enablement.
The Hadoop Big Data Developer will design, build, and operate large-scale data processing pipelines and analytics platforms. They are responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning.
The SAP BTP 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 Prompt Engineer will define and lead the strategy for designing prompts, agentic workflows, and LLM-based application architectures. They will build reusable design patterns, evaluation frameworks, and developer tooling to scale across the organization.
Design and build software tooling, firmware, and infrastructure to support semiconductor design, verification, manufacturing, and post-silicon validation. Collaborate with cross-functional teams to accelerate silicon development cycles and improve performance and quality.
The SAP 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.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Perform hardware-aware optimizations including model compression and quantization to ensure efficient performance outside the data center.
Design, train, and deploy reinforcement learning-based systems for high-impact decision-making problems. Ensure the stability, safety, and ongoing improvement of RL solutions as they transition from research to production environments.
The Quant 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.
Design and optimize compute-intensive workloads on modern accelerator hardware to maximize performance for AI and scientific computing. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
Design and govern integrations between Salesforce and the broader enterprise application landscape including ERP and marketing systems. Collaborate with cross-functional partners to translate requirements into well-engineered solutions while providing technical mentorship.
The IoT Engineer will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, and cloud ingestion. They will also collaborate with cross-functional teams to translate requirements into well-engineered systems and provide mentorship to junior engineers.
The QA Automation Engineer will design, develop, and maintain automated testing frameworks for enterprise web, API, and distributed systems. They will partner with development teams to expand test coverage and integrate automation into CI/CD pipelines to accelerate software delivery.
The developer will design, develop, and support customizations, integrations, and enhancements on the Windchill PLM platform. They will collaborate with functional consultants and engineering stakeholders to translate business requirements into well-engineered technical solutions.
The developer 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.
The Oracle Cloud Security Engineer is responsible for designing, implementing, and operating security controls across Oracle Cloud Infrastructure and hybrid environments. They will define security architecture, manage identity and access, lead vulnerability programs, and respond to security incidents.
The Senior Backend Engineer will architect, build, and operate large-scale, high-throughput backend services that power mission-critical workloads. This role focuses on ensuring scalability, reliability, and performance while mentoring engineering teams.
The Robotics Software Engineer will design, build, and integrate software systems for autonomous robots and robotic platforms. They will work across the full software stack, collaborating 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 pipelines to dashboards, while focusing on operational ROI and actionable insights.
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 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.
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 cloud-native solutions in an Agile environment.
The Senior 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 robust, high-performance technical solutions.
The SDET Engineer will design, build, and improve automation frameworks while writing production-quality test code. They will partner with cross-functional teams to embed quality engineering throughout the SDLC and mentor junior engineers.
The SAP Security & GRC Engineer will design, implement, and operate security and access-control frameworks for complex SAP landscapes. Responsibilities include managing SAP role design, user provisioning, segregation-of-duties analysis, and technical operation of SAP GRC suites.
The Senior Backend Developer will design, build, and operate foundational platforms and shared services to support high-throughput product delivery. This role involves managing request routing, traffic management, caching layers, and durable event processing to ensure system scalability and reliability.
The LLM 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.
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 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 tuning efforts, manage data replication, and provide technical expertise to ensure system scalability and reliability.
The consultant will design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. This includes managing the full migration lifecycle from extraction and transformation to validation, reconciliation, and cutover.
Design and develop performant HANA-native data models including calculation views, CDS views, and SQLScript procedures. Lead performance reviews, capacity planning, and optimization efforts across the SAP landscape.
The SAP CPI Developer will design, build, and maintain enterprise integration scenarios connecting SAP and non-SAP systems. They will own the full integration lifecycle, including development, testing, deployment, and post-go-live support.
The Solutions Architect will design and govern enterprise-grade application architectures across cloud, integration, and data domains. They will partner with business and engineering leaders to translate strategic objectives into scalable, maintainable technology solutions.
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 Staff Software 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.
The SAP BTP Developer will build scalable, cloud-native, and enterprise-grade extensions and integrations using SAP Business Technology Platform. They will contribute to optimizing business processes through innovative software solutions.
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 managing mTLS and observability across the Kubernetes estate.
The ServiceNow Architect will lead the design, governance, and long-term evolution of the ServiceNow platform across multiple 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 focus on deep, low-level Windchill customizations using Java and PTC APIs to extend platform behavior. They will collaborate with cross-functional teams to translate requirements into engineered solutions while mentoring junior staff.
Architect, provision, 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, workload onboarding, and continuous operational improvement.
The Cloud Networking Engineer will design, deploy, and operate service mesh platforms like Istio and Linkerd to ensure secure and reliable service-to-service communication. The role focuses on platform engineering, traffic policy management, and supporting application teams with mesh adoption.
The AEM Technical Consultant will build and maintain enterprise-grade digital experiences using AEM Sites, Assets, and AEM as a Cloud Service. The role involves hands-on development of components, templates, workflows, and integrations while ensuring high performance and maintainability.
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. They will also secure training pipelines, conduct red-team exercises, and ensure AI systems meet regulatory and compliance obligations.
The Hybrid Cloud Architect will define multi-cloud strategies and design reference architectures across AWS, Azure, GCP, and OCI. They are responsible for establishing cross-cloud networking, federated identity, and infrastructure-as-code patterns to ensure operational consistency.
The Edge ML Engineer will design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. The role involves performing model compression and hardware-aware optimization to ensure reliable AI performance outside of data centers.
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 well-engineered solutions while providing mentorship and code reviews.
The AWS Platform Specialist will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This role involves hands-on engineering across architecture, automation, security, and continuous operational improvement of production workloads.
Design and develop integrations between Coupa and enterprise systems such as ERP, finance, and payroll using middleware platforms. Maintain technical documentation and support production incidents to ensure system reliability and performance.
The Infrastructure Automation Engineer will develop production-grade automation for multi-vendor enterprise networks using Python and modern APIs. They will collaborate with cross-functional teams to implement infrastructure-as-code and CI/CD practices while mentoring junior engineers.
The Hadoop Solutions Developer will design, build, and operate large-scale data processing pipelines and analytics platforms. They are responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning.
The consultant 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 work, content modeling, and managing platform migrations.
The consultant will deliver configuration, integration, and customization across the Guidewire Insurance Suite and Guidewire Cloud. They will work with cross-functional teams to translate requirements into engineered solutions and provide mentorship to junior engineers.
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 long-term maintainability.
The developer will design, develop, and support custom enhancements, integrations, and reports within large enterprise SAP landscapes. This role covers the full development lifecycle including technical design, coding, unit testing, and post-go-live support.
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 various Workday integration tools while ensuring reliability, security, and data quality.
The consultant will design and develop complex Workday configurations, including custom reports, calculated fields, and business processes. They will also support Workday Extend applications and PRISM analytics while collaborating with cross-functional stakeholders to translate business requirements into technical solutions.
The VMware Infrastructure Engineer will design, deploy, and operate virtualization, software-defined networking, and storage platforms. The role focuses on managing large-scale VMware estates alongside modern cloud-native workloads using automation and capacity management.
The PLM Engineer will manage the technical operation, installation, and configuration of Windchill or Teamcenter environments. They will also lead platform upgrades, migrations, and performance tuning while collaborating with engineering and manufacturing teams.
Design and develop advanced Java customizations within the Windchill platform, including services, listeners, and processors. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while maintaining system performance and documentation.
Design and implement performant backend services, infrastructure tooling, and cloud-native applications using Go. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
Design, build, and operate enterprise integrations using the Boomi AtomSphere platform throughout the full lifecycle. Collaborate with cross-functional teams to translate requirements into scalable solutions while mentoring junior engineers.
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 and implement large-scale distributed backend systems while ensuring scalability, reliability, and performance. Lead architecture reviews, mentor mid-level engineers, and partner with SRE teams to drive operational excellence.
Provide deep technical leadership across multiple teams to drive the design and execution of complex engineering initiatives. Collaborate with cross-functional partners to translate ambiguous requirements into well-engineered solutions while mentoring junior engineers.
The Enterprise ServiceNow Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will establish data modeling standards and partner with cross-functional teams to deliver a scalable, secure, and coherent data foundation.
The Enterprise Storage Specialist will design, deploy, and manage storage foundations supporting compute, virtualization, database, and Kubernetes workloads. The role involves overseeing block, file, and object storage across data center, edge, and cloud environments with a focus on performance and data protection.
The AI Data Platform Engineer will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will also establish data modeling standards, drive cost optimization, and partner with cross-functional teams to ensure scalable data infrastructure.
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 ML researchers to optimize data delivery and model performance.
The CRM Integration Architect will design and govern complex integrations between Salesforce and the broader enterprise application landscape. This role involves defining integration patterns, managing API strategies, and mentoring junior engineers to ensure scalable and reliable system performance.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Collaborate with cross-functional teams to implement inference runtimes, telemetry pipelines, and secure execution paths for edge AI solutions.
Design and operate large-scale data pipelines to support AI training, evaluation, and continual improvement workflows. Collaborate with researchers to ensure data quality, lineage, and high-throughput delivery for diverse AI modalities.
The CRM Technical Architect will define and govern enterprise Salesforce implementations across various clouds while leading solution design and technical strategy. They will also establish standards for development, integration, and security while mentoring engineering teams to ensure scalable and maintainable solutions.
The 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.
The Data Platform Engineer will design, build, and operate large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Responsibilities include ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics and machine learning workloads.
The 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 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, develop, and maintain modular, composable Terraform code to codify infrastructure across cloud environments. Implement automation pipelines and enforce policy-as-code to ensure secure, compliant, and scalable infrastructure delivery.
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 and operations to push the platform toward higher reliability and lower operational toil.
The Site Observability Engineer will design and operate enterprise-grade observability platforms, including metrics, logging, tracing, and alerting systems. They will also define SLOs and SLIs while building self-service tooling to help engineering teams maintain system reliability.
The 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, perform red-team exercises, and ensure compliance with regulatory obligations.
The Enterprise Data Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and consumption. They will establish data modeling standards and partner with cross-functional teams to deliver a scalable, secure, and coherent data foundation.
The ServiceNow Developer will build and maintain solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. This role involves hands-on configuration, scripting, and integration work while ensuring the platform remains upgrade-safe and performant.
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.
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 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 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 performant and upgrade-safe.
The Secure Software Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They are responsible for identifying vulnerabilities and reducing risk across the company's application portfolio.
The Senior Backend Developer will design, build, and maintain complex enterprise-grade Python applications and data-intensive services. They will collaborate with cross-functional teams to translate business requirements into scalable technical solutions while ensuring system reliability and performance.
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.
The Kafka Platform Engineer will architect, deploy, and manage enterprise-scale streaming platforms to support mission-critical, real-time data processing. They will also collaborate with cross-functional teams to establish event-driven architecture standards and mentor engineering staff.
The Data Solutions Architect will define and lead the architecture of the enterprise data platform, covering ingestion, storage, processing, and governance. They will drive strategic data infrastructure direction and collaborate with cross-functional teams to deliver a scalable data foundation.
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.
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 reliability, efficiency, and cost control.
Design and operate metrics, logging, tracing, and alerting platforms to ensure system reliability. Manage the full observability stack, including collection pipelines, storage, and actionable dashboards for engineering teams.
The Salesforce API Architect will design and govern integrations between Salesforce and the broader enterprise application landscape. This role involves collaborating with cross-functional teams to translate requirements into engineered solutions while providing mentorship and design oversight.
The AppSec Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems. They will identify vulnerabilities and implement security improvements to reduce risk across the application portfolio.
Design, optimize, and deploy machine learning models for resource-constrained edge devices such as mobile platforms and embedded systems. Ensure reliable AI performance by managing trade-offs in compute, memory, energy, and connectivity.
The DevOps Automation Engineer will design, build, and maintain infrastructure-as-code foundations using Terraform. This role involves creating reusable modules, hardening pipelines, and enforcing policy-as-code across cloud and hybrid environments.
The ServiceNow Engineer will build and maintain solutions across ITSM, ITOM, HRSD, CSM, and custom scoped applications. The role involves hands-on configuration, development, and integration while ensuring the platform remains clean, upgrade-safe, and performant.
The Salesforce CRM Developer will design and build production-grade solutions using Apex, Lightning Web Components, and Flow. They are responsible for delivering custom business logic, integrations, and automation to meet complex enterprise requirements.
The Machine Learning Data Engineer will build and operate large-scale data systems to support AI training and evaluation pipelines. This role focuses on data ingestion, transformation, quality assurance, and high-throughput delivery of data to training jobs.
The Workday Interface Developer will design, develop, and maintain integrations between Workday and the broader enterprise application landscape. They will collaborate with cross-functional partners to translate requirements into well-engineered solutions while mentoring junior engineers.
The ServiceNow Solutions 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.
The Reliability Engineer will ensure the availability, performance, and operational excellence of large-scale distributed systems in production. They will apply software engineering principles to infrastructure problems to push the platform toward higher reliability and lower operational toil.
The 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.
Design and develop high-performance backend services and distributed systems using Rust. Collaborate with cross-functional teams to build scalable APIs, event-driven microservices, and cloud-native infrastructure.
Design, build, and maintain enterprise-grade decentralized applications, smart contracts, and blockchain-integrated backend services. Collaborate with cross-functional teams to develop secure, scalable solutions for digital asset management and transaction processing.
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, develop, and maintain complex PL/SQL packages, stored procedures, and database objects to support enterprise applications. Optimize SQL queries and database schemas while ensuring high availability, security, and performance across large-scale Oracle environments.
Design, develop, and maintain enterprise-scale React Native applications for iOS and Android platforms. Collaborate with cross-functional teams to integrate cloud-native APIs and ensure high-performance mobile experiences.
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-based microservices and cloud-native platforms.
The Senior Data Scientist will design, develop, and deploy enterprise-grade machine learning solutions to support strategic business initiatives. They will manage the complete data science lifecycle, including model development, deployment, and performance monitoring while collaborating with cross-functional teams.
The Senior Data Engineer will architect, develop, and maintain enterprise-grade data platforms and scalable pipelines to support analytics and machine learning initiatives. They will manage the end-to-end data engineering lifecycle while collaborating with cross-functional teams in an Agile environment.
The Senior UI/UX Designer will lead the end-to-end design lifecycle, translating business requirements into intuitive user experiences and interactive prototypes. They will also develop responsive front-end interfaces and collaborate with cross-functional teams to maintain enterprise-grade digital products.
The Senior DevOps Engineer will architect, build, and maintain enterprise-grade cloud infrastructure and CI/CD pipelines. They will also be responsible for the complete infrastructure lifecycle, including automation, monitoring, and ensuring operational excellence.
The Boomi Middleware Developer will own the full integration lifecycle, including analysis, design, development, deployment, and ongoing support. They will collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The 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 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 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 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 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 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 Storage Systems Engineer will design, deploy, and operate enterprise storage foundations supporting compute, virtualization, database, and Kubernetes workloads. The role involves managing block, file, and object storage across data center, edge, and cloud environments with a focus on performance and cost.
The developer will design, develop, and support custom enhancements, integrations, and reports within large enterprise SAP landscapes. This role involves the full development lifecycle, including technical design, coding, unit testing, and performance tuning in collaboration with stakeholders.
The 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 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 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 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 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 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 AI Research Engineer will design and ship advanced machine learning systems that bridge cutting-edge research with production engineering. This role involves managing the full lifecycle of AI projects, from problem framing and experimentation to deployment and continuous improvement.
The AI 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 Senior AWS Consultant will design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This role involves hands-on engineering across architecture, infrastructure-as-code, automation, and continuous operational improvement of production workloads.
The Application Architect will design and govern enterprise-grade application architectures across cloud platforms, integration ecosystems, and data domains. This role involves partnering with business stakeholders and engineering leaders to translate strategic objectives into scalable and maintainable technology solutions.
The Senior Azure Engineer will design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. Responsibilities include managing the end-to-end cloud lifecycle, including infrastructure-as-code, automation, security hardening, and operational excellence.
The Enterprise Integration Architect will lead the design and evolution of large-scale microservices ecosystems using cloud-native technologies. This role involves managing distributed data, ensuring system resilience, and providing architectural leadership across complex organizational transformations.
Architect and build end-to-end Industrial IoT solutions including edge data acquisition, cloud ingestion, and real-time analytics. Collaborate with cross-functional teams to translate requirements into well-engineered systems while mentoring junior engineers.
The Senior Principal Engineer will lead enterprise-wide architectural initiatives and define long-term technology strategy for scalable distributed systems. This role involves serving as a technical authority across multiple teams while mentoring senior engineers to elevate organizational technical standards.
Design and build software tooling, firmware, and infrastructure to support semiconductor development, verification, and manufacturing. Partner with cross-functional teams to translate requirements into well-engineered solutions and mentor junior engineers.
The engineer will design, develop, and maintain enterprise-grade web applications and distributed systems using Microsoft technology stacks. Responsibilities include the full engineering lifecycle from requirements analysis and architectural design to deployment and post-release support.
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 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 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.
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 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.
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 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 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 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 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 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 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 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.
