Site Reliability Engineer (up to £130k)

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 SaaS 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 GitOps 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 GitOps 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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