DevOps Engineer
About The Position
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. 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.
Requirements
- 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.
Nice To Haves
- Experience with Python, TypeScript, React, PyTorch, CUDA, Ray.
Responsibilities
- 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.
- 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.
- Drive developer productivity by building, guiding, and reviewing automation and internal tooling efforts across the engineering group; eliminate manual toil wherever it exists.
- 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.
- Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.
- 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.
Benefits
- Competitive salary and equity in a hyper growth startup.
- Real opportunities to grow.
- Strong in person culture.
- Flexible PTO to recharge.
- Annual learning and development budget.
- 18 paid vacation days + federal holidays.
- Lots of opportunities for travel (all around the US, to London & Europe).
- Bi-annual off-sites and monthly socials.
- Health, dental and vision insurance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
