Site Reliability Engineer

We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure for one of our clients.

You'll sit at the intersection of engineering, operations, and quality, measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable.

This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what ‘reliable’ means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively.

As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy.

Key Responsibilities

• Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns.

• Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team.

• Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems.

• Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback.

• Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early—through testing strategy, deployment practices, and shared ownership of production.

• Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call.

• Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements.

• Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar.

Qualifications

• 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end.

• Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil.

• Hands-on experience designing and modernizing CI/CD pipelines.

• Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation).

• Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker).

• Proficiency in at least one programming/scripting language for automation (Python / Go / Bash).

• Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana, Datadog, OpenTelemetry).

• Applied experience using AI/AIOps to automate, measure, report, and alert—anomaly detection, intelligent alerting, noise reduction, or automated remediation.

• A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals.

• Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices.

You would impress us if you have

• Prior experience working with Google Cloud Run.

• Experience introducing AIOps tooling into an existing observability stack.

• Background in performance and load testing.

• Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR).