Senior SRE Engineer

Posted 8 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Software
The data layer for physical AI
The Role
Lead and operate Encord's core infrastructure to ensure performant, reliable, observable, and scalable services. Profile and optimize large-scale data pipelines, perform capacity planning, define SLIs/SLOs, build incident response and runbooks, manage Kubernetes and cloud infrastructure (GCP/AWS) at petabyte scale, and drive automation, observability, and reliability best practices across engineering squads.
Summary Generated by Built In

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

Skills Required

  • Hands-on SRE, DevOps, or platform engineering experience in production
  • Experience designing, building, and maintaining resilient distributed 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, postmortems and runbooks
  • Experience managing Kubernetes clusters and cloud infrastructure (GCP and/or AWS)
  • Capacity planning and performance profiling for storage and compute-intensive workloads
  • Familiarity with observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog) and distributed tracing
  • Experience with backend languages or willingness to learn (Python, Rust) and familiarity with CI/CD
  • Frontend exposure (TypeScript, React) is a plus but not required
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The Company
HQ: London
150 Employees
Year Founded: 2021

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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