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# Site Reliability Engineer

- **Company:** Encord
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Databases, Continuous Integration, DevOps, Reliability Engineering, Prometheus, TypeScript, Datadog, Data Logging, ReactJS, Delivery Pipeline, Grafana, Backend, Kubernetes, Front End Software Development, Data Pipelines, Dynatrace
- **Published:** November 13, 2026
- **Apply:** https://startup.jobs/senior-sre-engineer-encord-com-8578261

## About the Role

* 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

## Description

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., * 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.