Senior Infrastructure Architect in United States

We’re looking for an experienced sourcing leader to join the Datadog Procurement team and help grow the Strategic Sourcing group. Make an impact by partnering closely with senior technology and business leaders, owning our fastest-growing AI, neocloud, and inference spend end-to-end, and continuing to prove the value that Strategic Sourcing brings to the organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the AI spend category end-to-end, covering foundation-model and AI APIs, AI development and productivity tools, and AI-enabled SaaS (with neocloud and inference compute as an emerging area), while developing and executing category strategies aligned to business objectives Champion AI and automation adoption across the sourcing function by identifying tools (e.g. Claude, ChatGPT) and building repeatable workflows that make sourcing faster, smarter, and more scalable Lead high-value AI vendor negotiations spanning foundation-model and API agreements, AI development and productivity tools, and AI SaaS, structuring seat- and consumption-based pricing across net-new purchases and strategic renewals, and building neocloud and GPU-capacity capability as the category grows Partner with Engineering and Finance to turn architectural and consumption trade-offs into commercial business cases, forecasts, and savings targets Build pricing and consumption models and apply FinOps discipline to quantify buying scenarios and uncover savings across a fast-moving spend base Work alongside executive and senior technology leadership as a trusted advisor on AI and neocloud investment decisions, influencing strategy and commercial trade-offs at the leadership level Track category KPIs (savings, pipeline, cycle time), monitor AI market, vendor, and pricing trends,

Flight Simulation Software Engineers (Associate, Experienced, and Senior) Company: The Boeing Company The Boeing Company is currently seeking Flight Simulation Software Engineers (Associate, Experienced, and Senior) to join the Flight Simulation Labs team located in Berkeley, MO . This position will focus on supporting the Boeing Defense, Space & Security (BDS) business organization. **Our teams are currently hiring for a broad range of experience levels including; Associate, Experienced, and Senior Level Software Engineers. Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist in integration of innovative technologies to maintain our platform’s dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated with our platforms. The roles will involve software development for tools that support simulation infrastructure across Flight Simulation Labs. Selected candidates will be aligned to a statement of work that best suits their interests and skillset, some of which could include: Creating core simulation infrastructure to serve as a jumping-off point for programs developing flight simulation capabilities Developing tools to simulate, monitor, and capture messages between subsystems in a lab environment Modeling various aircraft capabilities, including the ability to run constructive scenarios in a testing environment Position Responsibilities: Develops, documents and maintains architecture, requirements, algorithms, interfaces and designs for softwa

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role We are looking for a Senior Application Engineer primarily focusing on Salesforce.com and integrations with other systems in our stack. The engineer will work with various stakeholders and cross-functional teams to deliver solutions to scale our business. The overall goal and opportunity is to bring architectural and engineering maturity to our business systems. The role sits in the growth engineering function within the business systems engineering team. What You’ll Do Design, develop, test and deploy applications on Salesforce Platform Design, develop, and implement integrations within GTM systems and with products utilizing Python-based applications Design, develop, and maintain solutions on Ipaas (Homegrown, Workato, Clay, etc) Drive decisions on architecture patterns, tool usage, and designs required for the solution to scale both in terms of speed and scale. Hands-on developing applications, frameworks utilising Apex, LWC, Flows within SFDC Write and communicate technical specifications, including architecture diagrams, data mod

The Engineering Lead Analyst – Test Automation Platform Engineering is a senior-level technical leadership role responsible for driving the architecture, implementation, management, operational support, and continuous enhancement of enterprise test management and automation platforms. In this role, you will lead efforts to modernize test automation capabilities across the global technology ecosystem. You will architect end-to-end integration workflows, embed automated quality gates into enterprise CI/CD pipelines, and administer as well as operationally support both vendor and internally developed enterprise platforms (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, CSDP / Octane). Additionally, you will play a critical role in production operations—delivering tier-3 platform support to rapidly and safely troubleshoot, triage, and remediate performance and availability issues in complex, distributed production environments. The ideal candidate blends deep hands-on expertise in software testing frameworks, modern DevOps pipelines, containerized infrastructure, message-driven integration, and robust operational resilience practices with strong governance, compliance, and stakeholder leadership skills. Key Responsibilities 1. Platform Engineering & Operational Support Install, configure, upgrade, administer, and support enterprise test management and performance engineering toolsets (e.g., Core Performance Engineering / Performance Center, ALM-Quality Center, Zephyr Enterprise, Core Software Development Platform [CSDP] / Octane). Provide end-to-end operational support for

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching,

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team & role Stripe is looking for a senior operator and systems thinker to join the Central Strategy and Operations (S&O) team. This is a senior individual contributor role for someone who is obsessed with how organizations actually work and who builds the infrastructure that makes Stripe faster, clearer, and more coordinated as it scales. Central S&O sits at the center of how Stripe runs as a company. This role specifically owns the machinery of company operations—the planning processes, operating rhythms, information architecture, and cross-functional systems that let the leadership team at Stripe make better decisions, faster. If you're the kind of person who looks at a broken process and immediately starts designing the system that replaces it—and who reaches for automation before asking for headcount—this role is for you. You'll work across the most senior leaders at Stripe and partner teams to design, run, and continuously improve the operational systems that connect strategy to execution. This is not a coordination or program management role. It's a build role. You'll own outcomes end-to-end and raise the operational ceiling of the company. What you’ll do Run planning for Stripe. You'll own and execute how Stripe does annual planning including multiple offshoot workstreams, and the frameworks leadership uses to make decisions. Continuous improvement of existing processes, automating manual workflows and helping us redesig

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

Power and Performance Validation Engineer 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 senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug compl

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 a best-in-class 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 a diverse group of 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 We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

Staff -Power and Performance Validation Engineer 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 senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debu

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 the Team: The IT Project Technology Lead is a strategic professional at the intersection of technology leadership and business impact — a recognized subject matter authority who brings both depth of expertise and the foresight to shape directional decisions that extend well beyond their immediate domain. This is not a role for those who simply manage tasks; it is a role for those who understand how technology, people, and process converge to drive transformation at scale. At Citi, where every system and solution ultimately serves hundreds of millions of customers across more than 160 countries, this individual operates at a level where their technical judgment carries real organizational weight. The successful candidate will work alongside senior project staff, technology architects, infrastructure teams, and client-facing leadership to ensure that complex, high-impact initiatives are delivered with precision, clarity, and strategic intent. They will influence functional decisions through trusted counsel, champion process improvements that raise the performance bar, and serve as a guide and mentor to the analysts and practitioners who look to them for direction. Their work does not stop at execution — it shapes how Citi's technology landscape evolves, how risk is managed with integrity, and how the organization positions itself to meet the demands of an ever-changing global financial environment. Responsibilities: Develops detailed IT work plans, schedules; project estimates, resource plans and status reports. Interfaces with senior project staff and client senior management teams regarding status of projects. Recommends and oversees process improvements. Has considerable business impact through in-depth evaluation of complex business processes, system processes and industry s

About the Team The Emerging Products team is a lean, high-output product lab group that builds products at the forefront of model capabilities. We collaborate across all teams within the company, from research and infrastructure to consumer products. The team is responsible for identifying new product opportunities, building them quickly, dogfooding them internally, and then launching the successful products to users. We use data, user research, and analytics to inform our ideas, and make decisions on what experiments are worth iterating, stopping, or scaling. About the Role We’re looking for a senior, product-minded software engineer to own ambiguous 0-to-1 work from idea through prototype, validation, and handoff. This is a full-stack role with a strong frontend and product emphasis: you will build the interfaces and supporting backend systems needed to test new experiences quickly, while making sound architectural choices that enable successful concepts to scale. This role is based in our Mission Bay office in San Francisco. In this role, you will: Build and ship high-quality, product experiments across the full stack. Turn ambiguous user needs and emerging technical capabilities into testable product concepts, using research and metrics to guide iteration. Own technical direction for 0-to-1 projects, balancing speed, reliability, and a clear path from prototype to scalable product. Partner closely with design, product, research, and engineering teams to dogfood, evaluate, launch, and transition successful experiments. You might thrive in this role if you: Have a track record of building and shipping end-to-end products in fast-moving, startup, founder-led, growth, or other high-ownership environments. Bring strong frontend engineering skills and enough backend and systems depth to make sound full-stack architectural decisions. Pair product intuition with evidence, using user research and product data to identify opportunities and make pragmatic tradeoffs. Operat

Citibank, N.A. seeks an Applications Development Tech Lead Analyst for its Tampa, Florida location. Duties: Responsible for source code review to ensure it satisfies good coding practice. Coordinate all communication between tech team and Ab Initio vendor, including scheduling and chairing weekly meetings. Responsible for reconfiguration and reengineering to optimize performance. Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design. Prepare reports or correspondence concerning project specifications, activities, or status. Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces. Manage the hardware infrastructure and monitor the performance metrices E2E. Identify areas of growth need and proposal scale up activities. Execute on scale up activities by submitting procurement requests, manage regular calls with the deployment team and plan go live/switch activity. Develop shell scripting code base to support the job executions, interactions between systems. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Bachelor’s degree, or foreign equivalent in Information Technology, Engineering (any) or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Associate Director – Data Engineering, Senior Consultant, Data Specialist, Assistant Systems Engineer or related position involving gathering new business requirements, architecture, analysis, estimation, design, implementation, and leading a team of software developers and software development. 6 years of experience must include: Experience with AbInitio Data Processing (SME), Data Modeling