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 Senior Site Reliability Engineer to join our growing platform engineering team. You'll be embedded in the teams building and operating Encord's core infrastructure, ensuring our platform is performant, reliable, observable, and scalable.
You will lead the planning and execution of efforts needed as we grow from our customer base from hundreds to thousands of AI teams worldwide, and the volume of AI training and supervision data managed by our platform from TBs to PBs of data.
You'll drive a culture of performant and resilient software through individual contributions and collaboration with multiple squads.
What You'll Do
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
Collaboration — Partner closely with backend and ML engineers to improve deployment pipelines (CI/CD), review infrastructure changes, and champion reliability best practices.
Reliability & Availability — Define and own SLIs/SLOs/SLAs for critical services; build alerting, runbooks, and incident response processes; lead postmortems with a blameless culture.
Infrastructure & Cloud — Design, deploy, and maintain cloud infrastructure on GCP and AWS; manage Kubernetes clusters, networking, and storage at petabyte scale.
Automation & Tooling — Work to improve developer productivity and guide and review automation and tooling efforts across the engineering group.
Observability — Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, Datadog 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
Experience on hands-on SRE, DevOps, platform engineering experience or similar in a production environment.
Strong fundamentals in designing, building and maintaining resilient distributed and/or high performance systems
Solid understanding of networking, operating systems and database technologies
Experience with observability fundamentals — metrics, logs, traces, and alerting.
Comfortable with on-call rotations and incident management.
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 and Rust
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Why Encord
Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture — most of the team works from our London office 4+ days/week
25 days annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.
Key team members
Scott Sage
Benjamin Junior
Christian Kabrich
Ali Raza
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