Top Platform Engineer Jobs in San Francisco, CA

Lead architecture and build of a global, high‑performance data and AI platform. Own design, performance tuning, and SDLC for distributed systems (streaming, storage, indexing) powering real‑time analytics, vector search, and AI-driven products. Mentor engineers and drive engineering rigor and shared tooling.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

As a Platform Engineer, you'll design and optimize core platform services, enhance developer experience, drive best practices, and collaborate with AI teams.

As a Staff Platform Engineer, you'll architect core systems, drive developer velocity, maintain AWS infrastructure, and mentor engineers to enhance operational excellence and reliability.

As a Staff Data Platform Engineer, you will ensure the operational health and reliability of the data platform, manage deployments, and collaborate with teams to support internal and customer-facing systems.

Build and own CodeRabbit's multi-region platform: design compute, orchestration, and infrastructure from the ground up. Architect and run Kubernetes control plane, operators, and large-scale distributed systems on GCP. Implement IaC (Terraform), container/runtime optimization, observability, and platform tooling (Node.js/TypeScript or Go). Define technical direction, reliability, and operational patterns for the product suite.

Lead design and build of core infrastructure for enterprise ML: model evaluation/deployment, inference/serving, data storage/retrieval, and production deployment of large-scale reasoning agents. Work with enterprise customers, integrate on-prem systems, and mentor scientists to adopt strong engineering practices and reliability-focused ownership.

Define and scale reliability practices across the company by creating SLO/SLA frameworks, improving observability, evolving incident response, building self-service tooling and scorecards, and driving cross-team adoption to enable teams to build and operate reliable production systems at scale.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

The Senior Platform Engineer will build Monaco's data and ML platform, focusing on scalable pipelines, ML workflows, and distributed systems challenges.

As a Platform Engineer, you'll design and maintain the CI/CD pipeline, ensure environment parity, improve observability, and manage AWS infrastructure.

Incubate and build new platform capabilities from ambiguous customer signals: design, implement, pilot with design partners, debug in production, and transition scalable solutions to core teams while driving adoption, observability, and safety.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.

Build and own the end-to-end platform that runs realtime AI-human sessions: provisioning, streaming performance, cost per session, security/isolation, reliability, and observability. Provide self-service tooling for engineers and deployment teams, implement SLOs and incident response, and scale browser-based sessions while enforcing enterprise data-handling standards.

Build, scale, and operate foundational event-based and data platforms powering product features. Work across the stack to design tools, infrastructure, and APIs, collaborate with Product, Data Science, Data Engineering and AI teams, and monitor production systems to optimize performance and minimize user disruption.

Operate on-call shifts to monitor platform and merchant performance, coordinate and lead incident response, communicate with customers and senior management, analyze incident trends, drive root-cause investigations and preventative actions, improve monitoring/observability tooling and automation, and partner with engineering/product teams to increase platform reliability.

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.

Lead long-term vision and roadmap for Zoox's ServiceNow platform while performing hands-on development for strategic initiatives, complex integrations, and architecture proofs. Oversee and hold a managed services vendor accountable to SLAs, manage and mentor contractors, contribute to vendor selection and governance, and present platform strategy to executive stakeholders.

Design and build a centralized reliability platform and developer-facing APIs. Implement AI agents for incident triage, log/trace summarization, and recommended actions. Own projects end-to-end and collaborate with product, infra, data, and SRE teams.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.

As a Backend Engineer, you will develop scalable systems, optimize performance, mentor junior engineers, and lead critical projects at Hebbia's Agent Collaboration platform.

Lead design, build, and operation of a cloud-based VDI platform (Ubuntu and Windows 11). Own cloud infra, Teleport and Okta integration, image pipelines (Packer), config management (Chef/Ansible/Terraform), security agent bake-in, audit logging/SIEM, cost governance, testing, patch cadence, runbooks, and incident response for a production VDI fleet.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.