About us
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.
The role
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.
What You'll Do
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.
What We're Looking For
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.
Tech stack
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
What We Offer
- Competitive salary and equity in a hyper growth startup.
- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.
- Strong in person culture. We're 4-5 days a week in our newly-launched loft office in North Beach.
- 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.
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.
Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.
Skills Required
- 4-5 years of hands-on DevOps, platform engineering, or SRE experience in a production environment.
- 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.
- Designing, building, and maintaining resilient distributed and high-performance systems.
- Hands-on experience with Kubernetes and containerized 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 (Prometheus, Grafana, OpenTelemetry, etc.).
- Familiarity with backend (Python) and frontend (TypeScript, React) technologies — open to learning across stack.
- Experience or familiarity with ML-related tooling (PyTorch, CUDA, Ray) is a plus.
What We Do
Encord is the data layer for physical AI. We're how the world's most ambitious AI teams turn messy, multimodal data into production systems - from humanoid robots to autonomous vehicles to smart infrastructure. 300+ teams including Toyota, Skydio, and Maxar rely on Encord to curate, manage, and align the data their models actually need. $110M raised. San Francisco, New York, and London.
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