Principal Systems Test Operations Engineer Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As the Global Facilities Regional Engineering Electrical Engineer you will be responsible for providing technical support, expertise, and lead business process alignment on construction project design, management, schedule, cost control, testing & commissioning, operational and maintenance programs for the facility Electrical systems at all manufacturing sites in your location / region. As a global team member residing in your current site/geography, you will represent all facility design standard alignment, construction project management, O&M BKM alignment initiatives. You will also support the Global Facilities Central Engineering Team, Construction Team , Line Planning Team and O&M Team in providing critical design standard alignment, supplier quality improvement, operational and maintenance input and support construction projects. Critical metrics include construction project management, schedule, cost control, safety index, and facilities system reliability improvement program in eliminating production events that minimize lost moves and scrap. Responsibilities and tasks: Project Design and construction of regional green field project with alignment to global standards and collaboration with central sustainability

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. RESPONSIBILITIES Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms. Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics. Primary support of deployed internal fabrics in our AI Datacenters. Direct escalation for Hardware, Link and, Performance issues on network fabrics. Escalation support for customer network fabrics (aligned to reference arch.) Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters. REQUIREMENTS Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field. 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters. Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN. Versed in High-Bandwidth networ

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Quality leadership within Manufacturing Operations, the Senior Reliability Scientist is responsible for leading reliability activities across complex, high-performance systems. Working closely with established reliability experts and cross-functional teams, this role uses experimental data and advanced modelling to inform design decisions, validate product reliability and optimise serviceability strategies, including spares provisioning. The Team The Quality team within Manufacturing Operations is responsible for ensuring product robustness, reliability and lifecycle performance across Graphcore’s hardware portfolio. The team includes experienced reliability specialists and works closely with technology research, chip, board, system design, platform and operations teams to translate reliability insights into actionable improvements across the product lifecycle. Responsibilities and Duties: · Define and refine reliability requirements across silicon, board and system levels, working in partnership with research and design teams · Apply ad

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Principal Software Engineer Opportunity The team that built Jeeva AI is building Digital Workers, a new suite of autonomous agents for identity operations and security inside Okta. The team works directly with Todd McKinnon, Okta's co-founder and CEO, with the opportunity to bring this product to Okta's 20,000+ customers. You will help shape the product with the ownership and pace of a startup and the resources of a public company. You will build the harnesses and evaluations that make these workers reliable. They investigate risk, use tools, wait for approvals and complete tasks across enterprise systems. Bring depth in agent execution or model quality and help turn it into working software customers can trust. About You Production builder : You have shipped AI software and know what changes when real users depend on it. Careful evaluator : You investigate failures and use evidence to judge quality. Strong owner: You follow an improvement through code, evaluation, release and customer use. What you will be doing Build the agent harness for planning, tool use, memory, context compaction, interruption and recovery during long-running work. Integrate OpenAI and Anthropic model APIs. Select models using measured quality, latency and cost, with clear failure handling. Evaluate existing harnesses and build only the missing pieces. Keep the harness connected to AWS workflow execution and approval state. Keep authorization and sensitive writes behind applicati

Principal Software Engineer – AI CoE About Redwood Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments. Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio. Role Mission As a Principal Software Engineer, you will lead the design and delivery of complex, production-grade AI and agentic capabilities that can be reused across Redwood products. You will solve ambiguous engineering problems, establish standards for reliability and AI evaluation, and contribute to important technical decisions. This is a hands-on role with ownership of significant systems and platform capabilities. Key Responsibilities Design and deliver complex services, agentic workflows, and shared AI platform capabilities. Build multi-step agentic systems that combine reasoning, tool use, retrieval, memory, policy controls, and human oversight. Establish robust approaches for AI evaluation, observability, model selection, fallback behaviour, and failure recovery. Lead technical delivery across multiple contributors and coordinate dependencies with product and platform teams. Review designs and code for scalability, security, performance, reliability, maintainability, and cost. Resolve complex production issues and implement corrective actions that prevent recurrence. Create reusable frameworks, reference implementations, and engineering standards that accelerate development. Partner with Product, Architecture, Security, Data, and Operations teams to translate business problems into durable platform solutions. Evaluate emerging AI technologies and recommend adoption based on technical evidence, enterprise requirements, and business

Principal Consultant - Payments SME Location: NYC or Charlotte, USA | Practice Area: Banking & Payments | Type: Permanent Drive transformation across high-value payment systems in a fast-evolving global landscape The Role We are seeking a Senior Consultant to join our Banking & Payments practice, supporting large-scale payments transformation initiatives. This role combines Business Analysis and Scrum Master responsibilities, working on high-value and cross-border payment systems. You will play a key role in delivering change across complex payment infrastructures while collaborating with global stakeholders in an agile environment. What You’ll Do Lead business analysis activities across high-value payments and transformation initiatives Facilitate agile ceremonies and support delivery as a Scrum Master across cross-functional teams Gather, document, and translate business and technical requirements into actionable deliverables Support transformation programs across payment systems including cross-border transactions Collaborate with stakeholders to ensure alignment across business, technology, and operations What We’re Looking For Proven experience as a Business Analyst and/or Scrum Master within Banking or Payments knowledge of high-value payment systems and transaction flows Working knowledge of FEDwire, CHIPS, and ISO20022 (pacs.008, pacs.009) Experience delivering within agile environments and facilitating Scrum practices Ability to engage stakeholders and communicate requirements clearly across teams Bonus Points For Experience in payments transformation or modernization programs Exposure to cross-border payments and regulatory considerations Familiarity with financial messaging standards and payment processing systems Experience working with Tier 1 financial institutions Certification in Agile, Scrum, or Business Analysis disciplines Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative

Principal Consultant – Payments SME Location: NYC or Charlotte, USA | Practice Area: Banking & Payments | Type: Permanent Drive transformation across high-value payment systems in a fast-evolving global landscape The Role We are seeking a Principal Consultant to join our Banking & Payments practice, supporting large-scale payments transformation initiatives. This role combines Business Analysis and Scrum Master responsibilities, working on high-value and cross-border payment systems. You will play a key role in delivering change across complex payment infrastructures while collaborating with global stakeholders in an agile environment. What You’ll Do Lead business analysis activities across high-value payments and transformation initiatives Facilitate agile ceremonies and support delivery as a Scrum Master across cross-functional teams Gather, document, and translate business and technical requirements into actionable deliverables Support transformation programs across payment systems including cross-border transactions Collaborate with stakeholders to ensure alignment across business, technology, and operations What We’re Looking For Proven experience as a Business Analyst and/or Scrum Master within Banking or Payments knowledge of high-value payment systems and transaction flows Working knowledge of FEDwire, CHIPS, and ISO20022 (pacs.008, pacs.009) Experience delivering within agile environments and facilitating Scrum practices Ability to engage stakeholders and communicate requirements clearly across teams Experience building and managing strong client relationships to understand needs and deliver effective solutions. Bonus Points For Experience in payments transformation or modernization programs Exposure to cross-border payments and regulatory considerations Familiarity with financial messaging standards and payment processing systems Experience working with Tier 1 financial institutions Certification in Agile, Scrum, or Business Analysis d

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Datacenter Technologist, you will turn new platform architectures into repeatable operating models for Graphcore's AI data centers. You will lead the technical definition of how Graphcore introduces, deploys, services, and sustains new compute, networking, storage, memory, power, and cooling technologies at scale. Working within Advanced Architecture, you will connect platform design with data center engineering and site reliability operations. You will define new-product-introduction workflows, readiness criteria, diagnostics, and cross-functional handoffs so that new systems can move from architecture through deployment with clear ownership, supportability, and operational feedback. What You Will Do Own the technical operating model and new-product-introduction framework for new hardware and infrastructure technologies entering Graphcore data centers. Define end-to-end workflows for installation, configuration, validation, deployment, service, repair, upgrade, and sustained operation across the product lifecycle. Translate architecture requirements into data center readiness criteria covering software, firmware, compute, networking, storage, memory, rack integration, power, cooling, space, and site operations. Create clear runbooks, interface definitions, ownership models, acceptance criteria, and escalation paths that align architecture, engineering, data center, and site r

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software, networking, systems engineering, automation, supply chain, and external technology partners. What You Will Do Define the end-to-end architecture and technology roadmap for local, disaggregated, and distributed storage across Graphcore AI server and data center platforms. Design storage topologies that optimize PCIe lane allocation, network-domain placement, and data paths among CPUs, AI accelerators, memory, and storage systems. Lead the architecture of storage control-plane and data-plane solutions, evaluating commercial and open technologies against performance, resilience, manageability, and lifecycle requirements. Profile and tune the Linux storage stack, block layer, I/O schedulers, direct I/O paths, file systems, and drivers to imp

Enterprise Architect - Cloud & AI Role Overview Jumio is not just processing transactions; we are pioneering the future of identity intelligence. To lead this transformation, you serve as a visionary AI Adoption Catalyst and Systems Architect , redefining our technical landscape. In this role, you aren’t a traditional gatekeeper—you are a Developer Advocate and mission-driven leader. You take end-to-end ownership of our architecture, positioning machine learning and GenAI at the heart of our DNA. Leveraging your deep expertise in AWS and cloud-native engineering, you provide the engine that empowers our developers to innovate at lightning speed, ensuring our multi-tenant SaaS platform remains the global benchmark for performance and scale. This is a mandate for a technical doer who thrives on the front lines. Building on our strong, scalable cloud foundation, you will actively champion the adoption of GenAI tools across the software development lifecycle while driving continuous architectural improvement, evolution, and operational cost optimization. Your proven experience in AWS is the toolkit you use to clear architectural roadblocks and optimize performance, enabling engineering teams to move with unprecedented velocity. As a strategic technical leader who stays close to the code, you inspire an AI-First culture. You bridge the gap between visionary enterprise design and pragmatic execution, driving cross-departmental impact while fostering self-service capabilities and cloud efficiency to ensure that as Jumio grows, our technology scales predictably and elegantly. Key Responsibilities End-to-End System Architecture & Optimization Own the technical vision for scalable, high-performance, cost-efficient systems. Define modern architecture patterns that enable growth, high TPS, and seamless scaling. Architect and optimize multi-tenant SaaS platforms, ensuring configurability and performance. Design self-service capabilities to reduce engineering overhead (e.

About the role: At Rubrik IT, we are transforming how the enterprise thinks and operates — building a "thinking enterprise" where intelligent, agentic systems reason across our data, tools, and workflows to drive speed, quality, and measurable business impact. As an AI Architect, you will be a pivotal technical leader driving AI Native solutions that make this vision real. You will operate where AI innovation, top-tier engineering, and business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact. This role is designed for systems-thinkers and orchestrators with an AI-first mindset — leaders who move fluidly between hands-on building AI solutions, and who know how to harness model APIs, data sources, and workflow layers to build practical technology that serves the business. What you'll do: Lead applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs. Contribute to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security. Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use cases such as knowledge assistants, workflow automation, and decision support. Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across teams. Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment. Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model APIs, and automation layers. Leverage AI-assisted development to accelerate implementation, bringing a strong 'ed

Enterprise Architect - Cloud & AI Role Overview Jumio is not just processing transactions; we are pioneering the future of identity intelligence. To lead this transformation, you serve as a visionary AI Adoption Catalyst and Systems Architect , redefining our technical landscape. In this role, you aren’t a traditional gatekeeper—you are a Developer Advocate and mission-driven leader. You take end-to-end ownership of our architecture, positioning machine learning and GenAI at the heart of our DNA. Leveraging your deep expertise in AWS and cloud-native engineering, you provide the engine that empowers our developers to innovate at lightning speed, ensuring our multi-tenant SaaS platform remains the global benchmark for performance and scale. This is a mandate for a technical doer who thrives on the front lines. Building on our strong, scalable cloud foundation, you will actively champion the adoption of GenAI tools across the software development lifecycle while driving continuous architectural improvement, evolution, and operational cost optimization. Your proven experience in AWS is the toolkit you use to clear architectural roadblocks and optimize performance, enabling engineering teams to move with unprecedented velocity. As a strategic technical leader who stays close to the code, you inspire an AI-First culture. You bridge the gap between visionary enterprise design and pragmatic execution, driving cross-departmental impact while fostering self-service capabilities and cloud efficiency to ensure that as Jumio grows, our technology scales predictably and elegantly. Key Responsibilities End-to-End System Architecture & Optimization Own the technical vision for scalable, high-performance, cost-efficient systems. Define modern architecture patterns that enable growth, high TPS, and seamless scaling. Architect and optimize multi-tenant SaaS platforms, ensuring configurability and performance. Design self-service capabilities to reduce engineering overhead (e.