Top Platform Engineer Jobs in San Francisco, CA

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Leads development of secure, scalable cloud platforms optimized for AI and machine learning workloads. Designs and operates Kubernetes and containerized infrastructure, builds CI/CD and infrastructure-as-code automation, and optimizes cloud performance and costs. Partners with AI teams to translate compute needs into platform requirements, promotes observability and operational stability, and guides adoption of secure, responsible AI-assisted software development practices across engineering teams.

Lead the architecture, integration, and adoption of Taskrabbit’s experimentation and feature-flagging platform. Build high-performance TypeScript APIs and foundational services, integrate with Ruby on Rails systems, and improve platform reliability, scalability, and developer experience. Mentor engineers, establish experimentation strategy with product and engineering leaders, and advise senior leadership on architecture and platform initiatives.

Design and build scalable, secure payment platform services, including orchestration, fraud prevention, provider integrations, and global bill payment capabilities. Develop high-throughput backend systems on AWS, contribute production code and proofs of concept, make architectural decisions, and collaborate with product, security, risk, and operations teams. Mentor engineers and help drive agile delivery of reliable financial technology solutions.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integrations, and automation infrastructure. Develop internal and customer-facing platform capabilities, improve product reliability, performance, and scalability, and partner with product, design, data science, and research teams to define strategy and deliver features. Identify high-leverage technical investments and own software features end to end.

Lead architecture and delivery of a secure, low-latency Kubernetes-based compute platform for AI agents and untrusted workloads. Own isolation, scheduling, lifecycle, networking, policy, observability, and control-plane capabilities across GCP and AWS. Drive cross-team outcomes from design to adoption, improve developer experience via APIs and automation, and champion reliability, security, performance, and cost efficiency while mentoring engineers and setting technical direction.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Build and evolve backend payroll platform services and APIs used by multiple engineering teams. Own a core domain, ensuring correctness, scalability, reliability, performance, and observability. Lead architecture and design decisions, solve ambiguous technical problems independently, and partner with product and engineering teams on platform adoption. Collaborate cross-functionally to deliver compliant payroll capabilities while promoting responsible use of AI-assisted development tools.

Lead the design and development of secure, scalable, high-throughput payment platform services. Build payment orchestration, fraud and risk capabilities, multi-provider integrations, and global bill payment products. Contribute hands-on to production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.

Build and maintain internal developer platforms, shared services, CI/CD pipelines, cloud infrastructure, observability systems, automation, and self-service tooling. Partner with engineering teams to improve development workflows, deployment reliability, operational efficiency, and developer productivity. Lead foundational technical projects from architecture through rollout and ongoing maintenance while balancing scalability, reliability, and developer experience.

Own Anthropic’s ChromeOS platform end to end, including device standards, Google Admin and Chrome Enterprise policies, policy-as-code automation, zero-touch enrollment, international procurement, security controls, telemetry, lifecycle management, and vendor access models. Support Android Enterprise as a second platform, collaborate with IT, Security, and procurement teams, and create runbooks for vendor programs.

Design, build, deploy, and operate extensibility platform systems, including apps, extensions, APIs, event and webhook platforms, notifications, MCP, and customizable UI infrastructure. Lead projects end to end, collaborate cross-functionally, improve platform scalability and maintainability, and establish engineering best practices. The role focuses on domain modeling, product distribution, installation, configuration, lifecycle management, and developer experience.

Own and improve Wispr’s developer experience systems, including CI/CD pipelines, reproducible testing environments, local development workflows, debugging tools, and agentic coding infrastructure. The role focuses on accelerating feedback, improving reliability, reducing engineering friction, and partnering with engineers to drive adoption and ongoing operational excellence across client and backend codebases.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Lead cloud, backend, data, and automation infrastructure for a high-volume biotechnology operation. Own distributed services, data pipelines, workflow orchestration, compute scheduling, and internal AI tooling. Coordinate physical devices and on-premise servers, lead cross-functional projects through production, mentor engineers, and help build reliable systems supporting monitoring, logistics, and adaptive data analysis.

Build and operate a developer platform for independently versioned modules across global compliance sites. Responsibilities include CI/CD and GitOps automation, reproducible builds, artifact provenance and signing, dependency graph and change-impact tooling, Kubernetes controllers, site provisioning, version management, security patch automation, and large-scale selective test orchestration.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Lead migration of legacy infrastructure to modern internal platforms, design reliable Day-2 operations, extend platform integrations, and establish monitoring, SLOs, security controls, audit automation, and cost forecasting. The role includes complex incident response, postmortem-driven improvements, infrastructure and delivery standards, AI-assisted automation with guardrails, technical leadership, mentoring, documentation, and cross-functional partnership.

Own and improve infrastructure for a deploy-anywhere AI platform across AWS, GCP, and on-premises environments. Build Terraform and Helm infrastructure, manage Kubernetes clusters, CI/CD pipelines, GitOps workflows, observability, and ML inference workloads. Contribute to backend services in Java and Python, support enterprise deployments, improve reliability and scalability, and participate in on-call operations.

Build and manage secure cloud platforms, automated deployments, infrastructure as code, Kubernetes environments, and self-service developer capabilities. Administer Linux systems, troubleshoot production services, manage accounts and documentation, and collaborate with developers to resolve issues. The role includes operational ownership, on-call support, customer collaboration, AI-augmented delivery, and up to 25% travel. U.S. citizenship and the ability to obtain a security clearance are required.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Build and own the embedded Linux platform for AI-enabled robots using NVIDIA Jetson systems. Responsibilities include Linux customization, bootloader and kernel integration, OTA update infrastructure, hardware-software co-design, reliability testing, diagnostics, fleet monitoring, developer tooling, and platform security. The role requires close collaboration with electrical, robotics, and AI teams and involves debugging across the full embedded stack.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Own Anthropic’s endpoint platform, including MDM infrastructure, macOS and mobile configuration as code, patching, zero-touch provisioning, telemetry, compliance controls, and automation. Operate the platform as a production service with observability, incident response, progressive rollouts, and rollback. Partner with Security, developer, and infrastructure teams on endpoint hardening and trusted-device access. Support Linux systems, document platform operations, and provide advanced escalation support.