Site Reliability Engineer (up to £130k) in London

The role

This company is building a privacy‑first perception engine, turning existing cameras and sensors into real‑time operational intelligence without facial recognition or hardware swaps.

It is tackling a petabyte‑scale data infrastructure challenge by ingesting and processing real‑time feeds from thousands of customer sites.

This role is not a typical Saa S reliability position; think of financial market data aggregation, but for the physical world.

As the founding engineer of a new Resilience function, you will own the availability, performance, and scalability of this unique platform, designing systems from scratch and ensuring they are reliable at scale.

• The work
• Design, build, and operate a centralized, petabyte‑scale data ingestion pipeline, solving novel reliability challenges similar to those faced in financial market data.
• Architect and implement production Kubernetes clusters and Git Ops workflows from scratch, ensuring high availability and scalability.
• Automate manual operations work across deployment, monitoring, and incident response, embedding a software engineering approach into infrastructure.
• Define and manage SLOs/SLIs for critical systems, leading root‑cause analyses that result in tangible preventative changes.
• Establish and champion documentation standards (runbooks, post‑mortems, system docs) as core engineering deliverables.

What You Bring

• You’ve built at least one production Kubernetes cluster from scratch, not just operated an existing one.
• You are fluent with Git Ops workflows in production and have strong opinions on their optimal setup and operation.
• You write code to automate operations work across deployment, monitoring, and incident response.
• You have defined and managed SLOs/SLIs for production systems and led RCAs that produced preventative changes.
• You are eligible to work in the UK and ideally based in London.
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