Platform Infrastructure Engineer Jobs

About the Role We're looking for a Senior AI Engineer to help advance Amplitude's AI products and the foundations they're built on. As AI reshapes how customers analyze data, build products, and act on insights, we need engineers who can move fluidly between deep technical work and product judgment, shipping AI capabilities that customers and internal teams actually rely on. This role is both visionary and hands-on. You'll identify where AI creates the most leverage, build the systems that deliver it, and establish the patterns that let the rest of the company build faster on top of your work. You'll contribute to customer-facing AI products, the platform infrastructure beneath them, and the internal tooling that helps Amplitude operate as an AI-native company. What You'll Do Ship high-impact AI features and products that change how customers and internal teams work, from agentic workflows to embedded intelligence across the Amplitude platform Design and build the foundational infrastructure behind Amplitude's AI systems: orchestration, evaluation, retrieval, context management, and integrations with the broader product ecosystem Identify high-leverage opportunities by deeply understanding user workflows, customer pain points, and emerging capabilities in the AI ecosystem Establish reusable patterns, primitives, and components that enable other engineers to build AI features confidently and consistently Drive adoption and quality through close collaboration with product, design, and customer-facing teams, with a relentless focus on real usage and measurable outcomes Set technical direction for AI systems at Amplitude, making thoughtful build vs. buy calls, shaping evaluation strategy, and influencing the long-term roadmap Who You Are You're a highly capable engineer with a strong track record of shipping AI-powered systems that people actually use. You bring deep technical instincts, strong product sense, and a forward-thinking view of where AI is heading. Experienc

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. With the Okta's Auth0 organization’s increased dedication to ensuring customer availability expectations are exceeded in every way, you will play a key role as we evolve our system architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access to business-critical Reporting to the Manager of Engineering, in this role as a SRE Operations Engineer, you will ensure smooth operations of our Customer Identity Cloud at Okta. Working closely with the SRE team, your primary focus will be on ensuring production systems remain operational at all times, while continually setting and achieving long-term operational success for the platform with potential career growth into Site Reliability Engineering. What you’ll be doing Executes operational work including updating/patching and maintaining the Engineering Service Desk queue Responsible for ensuring team requests are triaged and/or actioned in a timely manner Monitors Platform health and take steps to alleviate issues related to deployment and operations Assist with capacity, performance and scalability testing where required Escalation point for Platform issues from customer support teams Execute runbooks and update processes as required Interface with the SRE team to report core issues, required improvements and new feature requests What you’ll bring to the role General platform infrastructure knowledge, including high availability / l

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 fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security a

Job Title: Staff Software Engineer Company: Canopy, Inc. Location: New York City Tri-State Area About Canopy At Canopy , we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role As a Staff Software Engineer, you will serve as a senior technical leader across multiple product and platform initiatives. You will partner closely with Product, Design, Infrastructure, and Engineering leadership to design and evolve systems that are reliable, scalable, and maintainable as Canopy grows. You will operate horizontally across teams — helping define architecture, improve engineering velocity, raise quality standards, and mentor engineers through influence rather than direct management. The ideal candidate combines deep technical judgment with pragmatism, strong execution instincts, and the ability to simplify complexity in fast-moving environments. What You’ll Own Technical Leadership & Architecture Lead the design and evolution of scalable full-stack systems across frontend applications, backend services, APIs, and platform infrastructure Drive architectural decisions that improve reliability, maintainability, performance, and developer velocity Identify and address technical debt, scalability bottlenecks, and oper

Job Title: Staff Software Engineer Company: Canopy, Inc. Location: SF Bay Area About Canopy At Canopy , we build technology that helps make healthcare environments safer for the people delivering care. Our connected safety platform powers real-time communication, response coordination, and location intelligence across hospitals and complex care environments. We operate in high-trust, high-reliability environments where software quality, operational resilience, and customer experience matter deeply. Our engineering organization is scaling alongside our growth, and we are looking for a Staff Software Engineer who can help shape both our technical direction and the way we build. This is not simply a feature delivery role. This is a systems-thinking role for an experienced engineer who can drive architecture, influence engineering standards, and help scale a platform, organization, and culture simultaneously. The Role As a Staff Software Engineer, you will serve as a senior technical leader across multiple product and platform initiatives. You will partner closely with Product, Design, Infrastructure, and Engineering leadership to design and evolve systems that are reliable, scalable, and maintainable as Canopy grows. You will operate horizontally across teams — helping define architecture, improve engineering velocity, raise quality standards, and mentor engineers through influence rather than direct management. The ideal candidate combines deep technical judgment with pragmatism, strong execution instincts, and the ability to simplify complexity in fast-moving environments. What You’ll Own Technical Leadership & Architecture Lead the design and evolution of scalable full-stack systems across frontend applications, backend services, APIs, and platform infrastructure Drive architectural decisions that improve reliability, maintainability, performance, and developer velocity Identify and address technical debt, scalability bottlenecks, and operational risks bef

A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU’LL DO As Database Support Engineer, you’ll support various critical database platforms across Development, QA, UAT, and Production environments. The role partners closely with application teams, application support, and database engineers and operates within a Follow‑the‑Sun model to ensure availability, performance, and reliability of database services. Key responsibilities include: • Provide operational support for enterprise database platforms in both on-prem private cloud and public cloud • Monitor database health, capacity, performance, and availability, and respond to alerts, diagnose issues, and perform timely remediation • Perform routine maintenance activities (patching, upgrades, housekeeping etc) • Troubleshoot database‑related incidents and collaborate on root cause analysis • Work closely with application owners, application support teams, and DB Engineers • Provide guidance on database best practices and operational standards • Participate in cross‑team problem resolution and continuous improvement initiatives • Contribute to design, implementation and testing of automation and self service capabilities of DB platforms • Drive continuous improvement, identifying opportunities to reduce toil and increase platform efficiency. • Participate in a Follow‑the‑Sun operating model, including shift‑based coverage and handoffs WHAT’S REQUIRED • Bachelor’s degr

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma. You’ll collaborate closely with engineers, researchers, designers, and product managers across multiple teams to deliver high-quality ML-driven features and infrastructure. This is a high-impact, cross-functional role where you’ll shape both foundational systems and user-facing capabilities. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features. Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows. Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance. Work with product engineers to define and deliver impactful AI features across Figma’s platform. Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment. Explo

About the Team OpenAI’s Hardware organization develops custom silicon and systems for advanced AI workloads. Our first-party accelerator team works across chip architecture, design, software, and systems to build the computing platforms that power frontier models. We are a small, dynamic team that values technical breadth, hands-on engineering, and creative approaches to building complex hardware. About the Role We’re looking for a SoC Engineer to help architect, design, and integrate OpenAI’s first-party AI accelerators. You will build the processor, interconnect, I/O, and platform infrastructure that connects our accelerator designs into complete, functional systems. This role combines architectural judgment with hands-on implementation. You’ll work closely with design, architecture, verification, and software teams throughout development, from defining subsystem requirements and integrating IP to pre-silicon validation, silicon bring-up, and post-silicon debug. You should enjoy stretching across domains, rolling up your sleeves, and doing the work needed to make a complex system function end to end. In this role, you will: Define and implement SoC architectures spanning embedded processors, AMBA interconnects, peripheral subsystems, PCI Express, Ethernet and die-to-die interfaces. Develop the microarchitecture and RTL design of subsystems supporting I/O and SoC functionality. Integrate Arm Cortex-M and Cortex-A processors, AXI/APB fabrics, and third-party controller IP, including the RTL and glue logic needed to connect these components. Develop reset and boot architectures, working with firmware and software teams to define sequencing, initialization, and survivability behavior. Incorporate debug, test, and security requirements into the SoC architecture and implementation, partnering with other silicon designers to make the silicon observable, testable, and secure. Drive PCIe and other I/O integration, including controller and PHY interfaces, high-speed SerDes,

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Our rapidly evolving IT department is in search of a Senior Engineer of Infrastructure Engineering (Windows/ AD) with excellent time management skills and a proven track record of setting and meeting results-oriented goals! We’re looking for a hands-on experienced engineering senior with a strong engineering mindset who can lead and transform the current environment, automate existing procedures and stay at the forefront of new technologies! This role handles Windows Server \ Active Directory engineering, including developing new solutions, automating controls, ensuring compliance, managing changes, and improving the platform’s sustainability, efficiency, security, and value. This individual will have responsibilities across multiple Windows Server distributions in our on-premises and public cloud environments. Our Impact: We assure Stability, Availability and Reliability for 1000's of servers to support a wide range of applications in a hybrid Cloud environment while striving to prevent service impacts in a multifaceted and constantly evolving ecosystem. We assure rapid recoverability from any impacts to business and services. We work together to strategize and transform IT with Automation and Process Engineering. Your Impact: Provide technical leadership for a team of Windows Server \ Active Directory Engineers to think and execute proactively to ensure the stability and security of the platform. Apply an engineering mindset to solve complex technical challenges and drive continuous improvement. Drive automation

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role This is a hands-on build role that will develop and maintain HR's data pipelines on our GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. Core platform infrastructure is provisioned centrally; you'll help configure HR-specific pipelines and dbt modeling work on top of it, in partnership with our data scientist, and stand up recruiting reporting and insights as the first production use case on the new stack. This role reports directly to the Director of HR Analytics, with high visibility into architecture and stakeholder-facing decisions from day one. Your mission is to move the organization away from manual reporting and toward a mature, self-service environment where senior stakeholders get decision-ready answers, not just data. What You Will Be Doing Build and Deploy Scalable Analytics Build and maintain data pipelines in BigQuery/dbt, on infrastructure provisioned by the central data platform team, that link HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow), so we can trace how hiring decisions affect long-term engagement and retention. Support and enhance the AI-powered analytics user experience. Develop scalable, self-service dashboards that reduce time spent on reactive, one-off data requests. Implement data governance practices (access controls, validation, documentati

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a Senior Security Software Engineer to provide technical leadership within Security Operations. You’ll own and evolve foundational platforms that help Pinterest govern cloud infrastructure, identify and remediate vulnerabilities, automate security compliance and integrate security reviews into engineering workflows. You’ll translate complex and sometimes ambiguous security requirements into scalable controls, services and paved paths across AWS, CI/CD and the software-development lifecycle. This role combines hands-on software and infrastructure engineering with architectural ownership, cross-functional influence and responsibility for the reliability and adoption of security-critical capabilities. What you’ll do: Own the architecture and technical direction of critical Security Operations systems, automation and developer-faci

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides

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. Okta authenticates, authorizes, and provisions millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes-native, and expanding fast to support AI-driven internal workflows. We're looking for a Staff SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization. As a Staff Site Reliability Engineer on our Dublin/EMEA team, you will be the senior-most technical voice on the ground — setting architectural direction for our Kubernetes platform, driving the hardest reliability and scaling problems to resolution, and partnering with Staff/Principal engineers on our US and India teams to keep our global platform strategy coherent. You'll report to the Senior Manager, Site Reliability Engineering, and work alongside a Senior SRE and the rest of the Dublin team. What you'll be doing Owning the architecture and evolution of our Kubernetes platform for the Dublin/EMEA team — cluster strategy, multi-tenancy, networking, and security posture — in close coordination with counterparts in the US and India Leading the technical design and rollout of self-service platform capabilities, golden paths, and self-healing patterns that let internal teams ship and operate workflows without deep platform expertise Driving the platform's readiness to host AI-driven internal workflows r

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. Okta authenticates, authorizes, and provisions millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes-native, and expanding fast to support AI-driven internal workflows. We're looking for a Senior SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization. As a Senior Site Reliability Engineer on our Dublin/EMEA team, you will build and operate the Kubernetes-based platform that hosts internal workflows across the business, with a growing focus on hosting AI-driven workflows reliably in production. You'll report to the Senior Manager, Site Reliability Engineering, and work closely with a Staff SRE and the rest of the Dublin team, as well as SRE peers in the US and India. What you'll be doing Building, operating, and improving our Kubernetes platform — cluster management, networking, security posture, and day-2 operations Developing self-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required Supporting the platform's readiness to host AI-driven internal workflows reliably at scale Troubleshooting and resolving production issues, including participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving postmortems for in

Zoox is looking for an AWS Cloud Security Engineer to lead the design and implementation of secure, scalable, and software-defined infrastructure in our AWS cloud environment. This role is responsible for establishing best-in-class security practices across AWS, driving automation-first infrastructure security, and partnering with engineering and platform teams to embed security into every layer of our technology stack. You’ll act as a security champion, ensuring that infrastructure designs meet the highest standards of confidentiality, integrity, and availability — while maintaining operational efficiency and scalability through Infrastructure as Code (IaC). In this role, you will: Define and own the multi-year security architecture and roadmap for Zoox's robots and fleet, spanning embedded/firmware, in-vehicle networks, cloud, and supporting infrastructure. Partner with hardware, firmware, autonomy, and infrastructure engineering teams to embed security requirements into system design from the ground up, rather than bolting them on after the fact. Lead threat modeling and architecture reviews for new vehicle platforms and major feature launches, identifying and prioritizing systemic risk across the fleet. Set technical standards and guardrails - secure boot, key management, network segmentation, update/OTA security, and more - and drive their adoption across engineering teams. Represent Product Security in cross-functional and leadership discussions, translating technical risk into business and safety impact for the organization. Qualifications 10+ years of experience in security engineering, including significant time in an architect, staff, or technical lead capacity. Deep expertise in embedded/IoT security, including secure boot, TPM/TEE, cryptographic key management, and hardened firmware/OS design. Demonstrated experience architecting security for complex, physical/cyber-physical sys