DevOps Engineer

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.

Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

We're looking for a DevOps Engineer with 4–5 years of experience to join our growing platform engineering team in San Francisco. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable. You'll drive a culture of automation, performance, and resilience through individual contributions and collaboration with multiple squads.

CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.

Infrastructure & Cloud Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale, with infrastructure-as-code as the default.

Automation & Tooling Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.

Performance & Capacity Profile and optimise services handling large-scale data pipelines; perform capacity planning for storage and compute-intensive workloads. Work with squads to establish performance benchmarks and expectations.

Reliability & Availability Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.

Observability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production.

4–5 years of hands-on DevOps, platform engineering, or SRE experience in a production environment.

Strong experience building and maintaining CI/CD pipelines and deployment automation at scale.

Proven experience with infrastructure-as-code tools (e.g., Terraform, Pulumi) and configuration management.

Strong fundamentals in designing, building, and maintaining resilient distributed and/or high performance systems.

Hands-on experience with Kubernetes and containerised workloads in cloud environments (GCP and/or AWS).

Solid understanding of networking, operating systems, and database technologies.

Experience with observability fundamentals metrics, logs, traces, and alerting.

We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply. Backend: Python Frontend: TypeScript and React Deployment: Kubernetes Infrastructure: GCP Machine learning: PyTorch, CUDA, Ray

Backend: Python

Frontend: TypeScript and React

Deployment: Kubernetes

Infrastructure: GCP

Machine learning: PyTorch, CUDA, Ray