Senior SRE for Scalable AI Infrastructure

Encord

Greater London

On-site

GBP 110,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Equity
25 days annual leave
Annual learning & development budget
Travel for customer visits, events and
Conferences across the UK and Europe
Daily company lunches
Monthly socials & bi-annual team offsi

Job summary

Encord is seeking a Senior Site Reliability Engineer to join our platform engineering team in London. You will help ensure the reliability, performance and scalability of our data-centric AI platform across large-scale pipelines.

You will drive capacity planning, define SLIs/SLOs, own incident response, and collaborate with backend/ML squads to improve deployment pipelines and observability. This role emphasizes blameless postmortems and robust cloud infrastructure.

Qualifications

  • Hands-on SRE/DevOps experience in production environments.
  • Strong fundamentals in designing resilient distributed systems.
  • Understanding of networking, OS and database tech.
  • Experience with observability: metrics, logs, traces and alerts.
  • Comfortable with on-call rotations and incident responses.

Responsibilities

  • Profile and optimise services handling large-scale data pipelines.
  • Collaborate with backend/ML teams to improve CI/CD and reliability.
  • Define and own SLIs/SLOs/SLAs; build alerting and runbooks.
  • Design and maintain cloud infra on GCP/AWS; manage Kubernetes.
  • Lead automation and tooling to improve developer productivity.
  • Instrument services with tracing, logging and metrics; ensure observability before production.

Skills

Hands-on SRE
DevOps
Platform engineering
Networking fundamentals
Observability fundamentals
Incident management
CI/CD

Tools

Python
Rust
TypeScript
React
Kubernetes
GCP

Job description

Encord is seeking a Senior Site Reliability Engineer to join our platform engineering team in London. You will help ensure the reliability, performance and scalability of our data-centric AI platform across large-scale pipelines.

You will drive capacity planning, define SLIs/SLOs, own incident response, and collaborate with backend/ML squads to improve deployment pipelines and observability. This role emphasizes blameless postmortems and robust cloud infrastructure.

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