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Infrastructure Network And Supply Engineer Jobs

10,000 active opportunities · Updated for October 2026

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

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OpenAI
📍 San Francisco• Full-time• Remote• $230K – $325K/yr
3mo ago

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems

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Anthropic
📍 Friendly• Remote• $320K – $405K/yr
3mo 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally.

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Scale AI
📍 Washington• $223.2K – $279K/yr
3mo 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’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: Recruit a high-performing engineering team. Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with sta

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Job Title: - Deputy General Manager - Civil - Projects Location: - Korba Chhatisgarh Purpose The Deputy General Manager - Civil - Projects will play a pivotal leadership role within Adani’s Power/Energy division, steering large-scale civil construction projects from inception through commissioning. This position demands a seasoned professional adept at managing complex project environments, ensuring quality, safety, and timely delivery while aligning with Adani’s core values of innovation, sustainability, and operational excellence. The role offers a unique opportunity to contribute to the nation’s growing energy infrastructure, driving transformative projects that support a cleaner and more sustainable energy future. The successful candidate will collaborate across multidisciplinary teams, fostering a culture of continuous improvement and employee engagement within a dynamic and diverse workplace. Source: Adani Group | Job ID: 54632

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Job Title: - Deputy General Manager - Civil - Projects Location: - Korba Chhatisgarh Purpose The Deputy General Manager - Civil - Projects will play a pivotal leadership role within Adani’s Power/Energy division, steering large-scale civil construction projects from inception through commissioning. This position demands a seasoned professional adept at managing complex project environments, ensuring quality, safety, and timely delivery while aligning with Adani’s core values of innovation, sustainability, and operational excellence. The role offers a unique opportunity to contribute to the nation’s growing energy infrastructure, driving transformative projects that support a cleaner and more sustainable energy future. The successful candidate will collaborate across multidisciplinary teams, fostering a culture of continuous improvement and employee engagement within a dynamic and diverse workplace. Source: Adani Group | Job ID: 54632

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Okta
📍 Chicago• Full-time
3mo ago

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: The World’s Identity Company™ Okta is the leader in Identity management and The World’s Identity Company™ . Our mission is to build a more secure world . Okta provides a neutral, powerful, and extensible platform that puts identity at the heart of your stack. Our platforms secure all types of identity, including customers, employees, partners, and AI agents . Top brands trust Okta . We are relied upon by two thirds of the Fortune 100 and over 40% of the Forbes Global 2000 for their Identity-powered journeys. Position Overview The Commercial Renewals Manager, Corporate at Okta owns the strategy and execution of subscription renewals for our US Corporate customer segment. In this role, you will partner closely with Sales, Customer Success, and our Partner ecosystem to secure predictable revenue, mitigate churn, and identify expansion opportunities. The ideal candidate is a strategic, quota-carrying professional who

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DoorDash USA
📍 United States• Full-time• $124K – $155K/yr
3mo ago

About the Team AI Research Lab is one of DoorDash’s frontier innovation hubs, focused on building the foundation for an AI-native future across our three core audiences: consumers, merchants, and dashers. As AI capabilities accelerate, the AI Research Lab operates at the center of technical exploration and real-world execution — connecting frontier model research, internal platform investments, operator teams, and strategic external partners. Our mission is to translate cutting-edge AI research into scalable, production-ready systems that drive measurable business impact. We combine deep technical rigor with strong operational execution to ensure that breakthrough capabilities become durable competitive advantages for DoorDash. About the Role As an Associate Manager, Strategy & Operations on our AI Research Lab, you will play a central role in converting frontier AI advancements into shipped products and scalable infrastructure. You will operate across research, product, and operations to move from early discovery and experimentation to deployment and impact. This role sits at the intersection of customer insight, technical innovation, and business execution. You will help define and scale the Lab’s most important bets while building the foundations that enable AI applications to compound over time. You’re Excited About This Opportunity Because You Will … Reimagining core experiences through AI, such as the merchant journey, by partnering directly with in-field merchants, sales, support, product, and engineering teams. You will help unify major initiatives into a coherent, AI-native interaction model. Own revenue-driving AI initiatives, operating as the accountable business owner for high-priority AI bets and ensuring clear linkage between technical progress and financial outcomes. Lead business planning cycles, developing go-to-market strategies for AI-powered products and capabilities, overseeing execution through structured project plans, resource allocation,

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Scale AI
📍 United States• Full-time• $250K – $350K/yr
3mo ago

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

machine learningai
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3mo ago

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: The RL infrastructure team is looking for an engineer to help develop our RL training framework. RESPONSIBILITIES: Design and implement the systems backing all RL workloads at SpaceXSI, from small scale ablations to production training runs. Profile, debug, and optimize end-to-end training performance Improve scalability and observability of the RL stack BASIC QUALIFICATIONS: Experience building, debugging, and optimizing efficiency of large-scale distributed systems Comfortable diving into unfamiliar areas and solving problems at all levels of the stack Proficiency in Python, Jax, Rust, and/or C++ PREFERRED SKILLS AND EXPERIENCE: Experience with large scale LLM training infrastructure Strong knowledge of reinforcement learning techniques Experience with RL numerics COMPENSATION AND BENEFITS: $180,000 - $440,000 USD Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXSI is an equal opportunity employer. For details on dat

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Amplitude
📍 Remote• Full-time• $165K – $247K/yr
3mo ago

About the Role Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team. You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you. Key Responsibilities Lead high-impact platform projects — design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices. Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written. Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it. Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about. Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward. Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements. Reduce toil and tech debt with pragmatic remediation

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Render
📍 United States• Full-time• Remote• $236K – $324K/yr
3mo ago

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and

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3mo ago

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Privy is seeking a motivated, experienced Account Executive to join our growing Enterprise team. In this pivotal role, you'll be instrumental in driving our expansion within high-priority segments, such as neobanking, payments, and wealth management, by leveraging our enterprise playbook. If you're a hungry strategic thinker with a passion for building relationships and a deep understanding of the enterprise and fintech landscape, we want to hear from you. As an Account Executive, you'll have the exciting opportunity to contribute to our global growth strategy and become a key spokesperson for Privy's enterprise vertical. What you’ll do Lead Generation & Pipeline Management: Partner with the Head of Go-to-Market (GTM) to generate, close, and deliver a robust pipeline of enterprise prospects. You will build and iterate outbound campaigns based on feedback and manage a pipeline across multiple ICP's. Product Expertise & Discovery: Become an expert on Privy's products, confidently leading initial discovery calls with fintech prospects to understand their needs and demonstrate our value. Deal Cycle Management: Drive the full sales lifecycle from sourcing new opportunities to closing deals, serving as the primary champion for Privy accounts. Strategic GTM Support: Contribute to t

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Asana
📍 Vancouver• Full-time• C$106K – C$150K/yr
3mo ago

Asana is seeking an experienced IT Systems Engineer (Identity) to join our growing IT Team and support the critical systems that keep IT moving forward. The ideal candidate will be focused on increasing IT efficiency through automation, and improving the end-user experience. Based in our Vancouver office, you will be primarily responsible for the support and implementation of our internal and cloud based IT identity infrastructure and applications. As an Identity Engineer, you will support and implement our internal and cloud-based IT identity infrastructure and applications to increase efficiency through automation. You will collaborate with cross-functional teams to improve the end-user experience while maintaining a crisp and detail-oriented focus on our identity systems. By leveraging your passion for technology and automation, you will play a critical role in scaling Asana's global IT operations. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive efficiency by implementing automated SSO on-boarding and off-boarding processes. Empower the organization through expert administration and support of Google Workspace, Slack, and Asana. Design and deliver security policies in partnership with the Security team to protect our global user base. Scale IT services by identifying and executing on high-impact automation opportunities. Standardize and automate routine IT tasks to improve overall system reliability. Resolve complex technical escalations with a focus on building long-term preventative solutions. Foster a robust IT environment by collaborating with Support and Security teams

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Zocdoc
📍 Usa Remote• Remote• $200K – $290K/yr
3mo ago

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc’s most important asset is our people and our platform. As a Senior Staff Engineer, Vulnerability Management, you’ll play a meaningful role in strengthening both by architecting and scaling our next-generation vulnerability detection and remediation ecosystem across Compliance, Security, and Engineering. In this role, you’ll help move our security posture from reactive firefighting to predictive, continuous risk reduction through intelligent automation, deeper full-stack visibility, and faster remediation across infrastructure, containers, and application code. You’ll enjoy this role if you are… Personally motivated by building secure, scalable systems that reduce real-world risk at scale. Autonomous, urgent, and creative, and you love turning noisy security findings into actionable engineering outcomes. Highly collaborative and energized by working across Security, Compliance, Engineering, and DevOps teams. Passionate about offensive security, adversarial validation, and understanding how theoretical vulnerabilities translate in

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Mixpanel
📍 San Francisco• Full-time• Hybrid• From $188K/yr
3mo ago

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable. We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users. Some examples of what we are building: Agent Optimization Framework: A system that optimizes AI products for quality, speed, and cost, using metrics from production and evals, given the context of the invocation. AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot, MCP, and a public skills library. AI Engine: Services that centralize core AI and LLM functionality at Mixpanel in order to accelerate AI development, compound the value of AI efforts, and provide customers with a consistent experience. Role Overview We are looking for a driven Software Engineer to join our AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast paced, newly formed team with a mandate to empower AI development across the c

awsrestmicroservices
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