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Critical Infrastructure Engineer Jobs

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Explore current critical infrastructure engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Roblox
📍 San Mateo• Full-time• $50 – $62/hr
2mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is seeking a Hardware and Testing Lab Tecnician (Tech Support Specialist III) to support our automated testing device farm, a rapidly scaling on-premises hardware environment that enables automated testing across mobile, desktop, console, and specialty devices. This infrastructure is critical to Roblox's ability to ship quality software rapidly. This role sits within Corporate Engineering's Client Services team and is responsible for the physical and operational lifecycle of hundreds of test devices, from procurement and rack installation through daily health maintenance, break/fix support, and end-of-life recycling. You will work closely with Engineering to understand device configurations and testing requirements, while owning the hands-on execution that keeps these labs running reliably. Success in this role requires someone who takes full ownership of their work, holds themselves accountable, and can be counted on to follow through. This is a fully on-site role in our San Mateo, CA offices. You Will: Receive, asset-tag, inventory, and physically install devices (phones, tablets, Macs, PCs, and potentially consoles/VR) into IDF rack environments. Configure devices at t

awsci/cdgit
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OpenAI
📍 San Francisco• Full-time• Remote
1mo ago

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

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D
6 days ago

(GAQ427R230) About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio. The impact you will have Drive analytics and modeling to understand how platform spend scales Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions. Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches. Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products. Establish robust KPIs and operations to achieve unit economics goals Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers. Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets. Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals. Scale cloud finance operations and systems Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic. Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business co

pythonsqlaws
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Kargo
📍 Location San Francisco• $100K – $120K/yr
11 days ago

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Provide remote technical support to Field Operations Technicians during hardware installations, repairs, and maintenance, helping troubleshoot issues and ensure successful deployments. Monitor deployed hardware, investigate system alerts and device downtime, and troubleshoot issues to maintain reliable operations. Create and maintain standard operating procedures (SOPs), troubleshooting guides, and technical documentation to streamline deployment and support processes. Identify recurring issues and inefficiencies, develop solutions, and automate repetitive tasks to improve operational efficiency. Partner with software engineers to troubleshoot technical challenges, improve internal tools, and translate field feedback into actionable requirements. Help pilot new internal tools and workflows with Field Operations, gather feedback, and support continuous improvements. Experience 0–2 years of experience in a hands-on technical role, such as IT support, field service, electronics repair, hardware testing, or lab operations. Relevant internships, bootcamp training, and technical projects are welcome. Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experie

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Micron
📍 Minneapolis• $24 – $55/hr
28 days ago

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The ASIC Validation team plays a critical role in bringing Micron's next-generation silicon products to life by validating and characterizing new devices as they return from fabrication. Working closely with design, verification, and firmware teams, the group develops innovative validation methodologies, automation solutions, and AI-enabled workflows to ensure product quality, performance, and reliability. As an ASIC Validation Intern, you will work alongside experienced engineers to validate newly developed silicon and enhance the validation infrastructure used across engineering teams. This role provides hands-on experience with hardware validation, lab equipment, automation, data analysis, and AI-assisted engineering workflows while contributing directly to the successful bring-up of next-generation ASIC products. Responsibilities Collaborate with validation, design verification, and firmware teams to support silicon bring-up, testing, and validation activities for new ASIC devices. Use laboratory equipment, automation tools, and validation environments to characterize device functionality and performance. Develop or enhance scripts, automation solutions, and AI-assisted workflows to improve validation efficiency, failure analysis, and reporting. Analyze validation results, debug complex issues, and evaluate AI-generated insights while applying sound engineering judgment. Document technical findings, communicate project results, and present recommendations to engineering teams. </

pythongitmachine learning
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Sentry
📍 San Francisco• Full-time• Remote• $140K – $170K/yr
1mo ago

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About this role At Sentry, Finance plays a critical role in helping the company understand where we're investing, what we're getting in return, and where we can operate more effectively. We are looking for an FP&A Manager who will help build Sentry's FP&A function while focusing on establishing best-in-class FinOps practices. You'll partner across the business on forecasting and financial analysis, with a significant focus on cloud infrastructure, AI costs, vendor spend, and other areas where better financial visibility can translate directly into better decisions. You will be expected to understand the economics behind our infrastructure, build the financial models and reporting needed to manage it, identify meaningful opportunities, and work with Engineering and other partners to turn those insights into action. You'll also operate as a generalist FP&A partner and play an important role in building the processes, models, and operating rhythms that Finance will use as Sentry grows. You will report to the Director of FP&A. In this role you will Own forecasting, reporting, and financial analysis for significant areas of Sentry's operations, with particular emphasis on cloud infrastructure, AI-related spend, software, vendors, and other major cost categories. Partner closely with Engineering and infrastructure leaders to understand the drivers of cloud and AI spend, translate technical consumption into financial forecasts, and identify opportunities to improve unit economics and gross margin. Develop reporting that makes cloud and infrastructure costs understandable and actionable, including trends, cost alloca

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About the job Keep Graphcore’s Bristol electronics laboratories ready for the teams building the future of AI compute. As Electronics Laboratory Lead, you will own the safe, reliable operation of our Bristol labs. You will make sure facilities, equipment and infrastructure support critical work across engineering and operations. Your impact will be felt across hardware bring up, validation, characterisation, manufacturing technology and product test. You will turn complex lab requirements into controlled, dependable environments where teams can move faster. You will manage test equipment, lab infrastructure, ESD controls, goods in and out, maintenance planning and technical readiness. You will also build and guide a technician team that supports multidisciplinary lab users. This is a hands-on leadership role with real ownership. You will shape how our labs run, scale and support Graphcore’s next stage. The team and culture You will sit in our DC Engineering Team, working closely with Facilities, Supply Chain, Quality, Product Test and Diagnosis, Infrastructure Solutions and Hardware Engineering. Work happens through clear priorities, practical decisions and direct collaboration with the teams using the labs. You will have the ownership to set standards, improve processes and solve problems before they slow delivery. Decisions are made close to the work, with safety, technical readiness and pace all held together. Graphcore teams think big, act fast and speak up. In this role, you will bring structure to complex lab activity while helping engineers do their best work What we’re looking for · Strong technical understanding of electronic test equipment, lab infrastructure, setup, calibration and troubleshooting · Practical knowledge of ESD prevention, control systems, audits and training · Deep understanding of health and safety requirements in electronics laboratory environments · Ability to work with engineering teams to plan, configure an

artificial intelligenceaisupply chain
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E
1mo ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a hands-on senior leader for our India SecOps team, you will shape and safeguard Everpure’s security posture at the intersection of detection engineering, threat hunting, attack surface management, and incident response. Positioned as a strategic cornerstone in Bangalore, you will empower an elite engineering team, optimize critical SecOps pipelines, and partner cross-functionally across global engineering and infrastructure groups. By driving execution excellence and high team morale, you ensure our enterprise platform and global telemetry remain resilient against evolving threats. WHAT YOU'LL DO Scale & Lead SecOps Operations: Architect, mentor, and grow the India SecOps team to foster an environment of high morale, technical excellence, and rapid execution across detection engineering and incident response. Proactively Manage & Remediate Attack Surface: Own end-to-end Attack Surface Management (ASM) across cloud environments, SaaS applications, endpoints, and secrets management to measurably minimize enterprise exposure and mitigate risk. Optimize Telemetry & Incident Response: Mature SIEM and SOAR automation pipelines to drastically reduce mean time to detect, contain, and respond (MTTD/MTTC/MTTR) while continuously elevating alert fidelity and signal confidence. Drive Cross-Functional Alignment & RCA Postmortems: Lead continuous validation through purple-teaming and incident postmortems alo

awsazureai
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Anthropic
📍 New York• $131K – $210K/yr
11mo ago

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 As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world, providing high-touch support to the businesses building on Claude. You’ll take the cases that need more than a help article: understanding how a customer has built on our platform (their integrations, their authentication and identity setup, their use of the models) and then investigating, diagnosing, and resolving their most complex technical needs. You’ll partner with engineers to get to the bottom of things, and with account teams to keep the customer’s trust while you do. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, turning what you learn from each case into documentation, tooling, and product feedback so the whole team gets sharper. This is a role for someone who wants their technical depth to matter to real businesses, and who cares as much about how we systematically support customers at scale as about the case in front of them. Responsibilities Provide high-touch support to our most strategic customers, communicating clearly and empathetically with a wide range of user personas, context-switching between guiding an executive through an incident and providing critical product knowledge to an admin in need of help within the same hour Serve as an escalation point for our most complex technical issues: reproducing customer issues, utilizing logs and traces, and providing solutions alongside engineers Troubleshoot SSO, SAML, and OAuth authentication flows, and the integration surface where our products meet a customer’s infrastructure Partner with engineers, teammates, and ot

javascriptpythonsql
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Nuro
📍 United States• Full-time• From $193.9K/yr
2mo ago

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team builds and operates the infrastructure that makes that possible. We own the systems that train the models at the core of the Nuro Driver™ - from distributed GPU training and closed-loop reinforcement learning, to the workflows, orchestration, observability, and cost management that keep the fleet running efficiently. Our work sits directly on the critical path of autonomy development. When a training run stalls, when a pipeline silently regresses, or when GPU utilization slips, it shows up in how fast the rest of the company can ship. We care as much about reliability and operational maturity as we do about raw scale. About the Work Contribute to Nuro’s training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration. Design and operate large-scale data pipelines - batch and strea

pythongcpkubernetes
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At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The vision for the Batch Infra team @ Affirm team is to provide reliable, scalable, self-serve and Affirm-optimized compute solution to enable ML, Product, and Financial Engineering success. Our team is responsible for building and maintaining compute platform that serves as a backbone for processing various Business critical batch workloads at Affirm through a wide suite of scheduled and on-demand compute solutions built on the cloud. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving infrastructure challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: You have 4+ years of experience desig

REMOTEpythonmysqlaws
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At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The vision for the Batch Infra team @ Affirm team is to provide reliable, scalable, self-serve and Affirm-optimized compute solution to enable ML, Product, and Financial Engineering success. Our team is responsible for building and maintaining compute platform that serves as a backbone for processing various Business critical batch workloads at Affirm through a wide suite of scheduled and on-demand compute solutions built on the cloud. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving infrastructure challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: You have 4+ years of experience desig

REMOTEpythonmysqlaws
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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Facilities Operations Technician at SpaceXSI , you'll dive in, operating and maintaining the critical facility systems that power our supercomputing data centers. Working hands-on with MEP systems, you’ll tackle maintenance, operations, and repairs, ensuring peak performance and reliability. Expect to troubleshoot complex issues, streamline processes, and collaborate with teams to keep our infrastructure running smoothly, directly supporting SpaceXSI's mission to accelerate human scientific discovery through AI. This role includes the following positions, each with increasing responsibility: Facilities Operations Technician : Independently operate and maintain critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers, ensuring high reliability and performance through hands-on maintenance, troubleshooting, and process optimization. Sr Facilities Operations Technician : Perform advanced maintenance and troubleshooting of critical data center systems like HVAC, power, and environmental controls, while mentoring junior technicians to ensure operational reliability. Facilities Operations Lead : Oversee the maintenance

airecruitment
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S
11mo ago

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 The Secrets Infrastructure team provides the cryptographic identity and secrets management foundation for Stripe. We build and operate the internal certificate authority that authenticates every person and service at Stripe, and the secrets platform that manages everything from financial partner credentials to infrastructure access keys. We build foundational security infrastructure at scale: our certificate authority issues mTLS client certificate identities for thousands of services and engineers, and our secrets platform and libraries protect access to critical financial systems and external partners across all of Stripe’s codebases, services, and platforms. The technical challenges include building systems with 99.99%+ availability, implementing TLS workload identity and attestation logic for new platforms, and designing secret management tools that are both secure and user-friendly. Our infrastructure must be both reliable and developer-friendly—we maintain libraries in Go, Java, Ruby, and Python. As a small team responsible for critical systems, engineers take on meaningful ownership. Through collaboration with teams across Stripe, you'll build and set direction for the authentication and secrets management underpin identity in distributed systems at scale. Secrets Infrastructure is a fully remote team, with a small presence in the Seattle and New York City offices. We pride ourselves on a friendly, technically rigorous, and supp

pythonjavaaws
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SA
1mo ago

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We are seeking a hands-on Engineering Manager to lead our Frontier AI Infrastructure team within Public Sector Engineering. This is a 50/50 role : you'll spend roughly half your time writing and reviewing code, and half your time leading, coaching, and growing a small team of engineers. Your team owns the model inference layer — enabling state-of-the-art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You'll lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and debug platform issues, and you'll partner upstream with Product to catch issues before they break, moving the team from "infra-only debugging" to proactive integration testing. You will: As a manager - 50/50 management and hands on coding experience. Lead, coach, and grow a team of engineers — own hiring, onboarding, performance, and career development. Set technical direction and quarterly priorities for the inference layer, and hold the team accountable to delivery on customer and contract commitments. Run the operational rhythm of the team: sprint planning, on-call rotation, incident review, and postmortems. Partner with Product, Program, and Deployed Engineering leadership to translate customer and mission requirements into roadmap. Represent the team in customer engagements and vendor escalations, including with government stakeholders. Design and implement secure, scalable backend systems for Public Sector customers, leveraging Scale's modern cloud-native AI infrastructure. Own services and systems alongside your team, define their long-term health goals, and improve the health of surrounding components. Stay in the code: review PRs, debug production issues, and take on meaningful technical wor

awsazuregcp
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