Site Reliability Engineer - #2167319

Senior Site Reliability Engineer (GCP)

Manchester, Leeds or Edinburgh, UK |Hybrid | Full-time

ROLE PURPOSE Improve the reliability, scalability, security and operational excellence of cloud-hosted services on Google Cloud Platform. This is a hands-on engineering role spanning SRE practices, production Kubernetes, infrastructure automation, observability, CI/CD, incident response and continuous service improvement.

About the role

The Senior Site Reliability Engineer will work with Cloud Platform, Software Engineering, Product, Security and Service teams to design and operate resilient services. The role will use software engineering and automation to reduce operational toil, improve service health and turn incident learning into measurable reliability improvements.

Required experience

Google Cloud Platform

Strong hands-on GCP engineering and operations experience across production services. Relevant GCP certification is preferred.

Site Reliability Engineering

Demonstrable SRE experience improving availability, resilience, scalability, supportability and operational performance.

Dynatrace & observability

Instrumentation, dashboards, metrics, logs, traces, service health modelling and SLO-based alerting using Dynatrace.

Terraform

Strong Infrastructure as Code capability, including modular design, reusable components, state management, code review and maintainability.

Kubernetes & containers

Production Kubernetes administration and Docker knowledge, including deployments, upgrades, networking, capacity and troubleshooting.

CI/CD engineering

Hands-on Jenkins, Azure DevOps, GitHub Actions or comparable tooling for build, test, infrastructure and deployment automation.

Scripting & coding

Practical automation using Python, Groovy, Bash or PowerShell, with sound software engineering and source-control practices.

Incident management

Major incident response, structured troubleshooting, root-cause analysis, problem management and post-incident improvement.

Cloud security

Working knowledge of IAM, least privilege, secrets, secure configuration, policy controls and operational risk management.

Networking & APIs

Strong understanding of Linux/Unix, DNS, TCP/IP, routing, load balancing, firewalls, VPC connectivity, HTTP and API troubleshooting.

DevOps & toil reduction

Automation-first mindset and experience replacing repetitive operational activity with reliable engineering solutions.

Stakeholder collaboration

Ability to explain service risk and technical options clearly and work effectively across engineering, product, security and operations teams.

Technical environment

• Cloud: Google Cloud Platform, cloud-native services and managed platform capabilities.
• Observability: Dynatrace, telemetry, dashboards, SLI/SLO measures, logs, metrics and distributed traces.
• Platform: Kubernetes, Docker, Linux/Unix, cloud networking and APIs.
• Automation: Terraform, Python, Groovy, Bash and PowerShell.
• Delivery: Jenkins, Azure DevOps, GitHub Actions, Git and automated release controls.

Operational and engineering expectations

Senior Site Reliability Engineer (GCP)

Reliability and observability

• Create service health models that combine application, infrastructure and customer-impact signals.
• Use SLOs and error budgets to guide prioritisation between reliability improvement and feature delivery.
• Tune alerts to be actionable, reduce noise and provide clear runbooks and escalation paths.
• Perform production-readiness reviews covering capacity, dependencies, failure modes, recovery and monitoring.

Platform automation and delivery

• Create reusable Terraform modules and automated environment patterns that are secure, reviewable and repeatable.
• Integrate infrastructure and application changes into CI/CD with validation, approvals, auditability and rollback options.
• Automate cluster operations, routine maintenance, evidence collection and common remediation activities.
• Use code reviews, testing and version control to maintain engineering quality across infrastructure and operational tooling.

Incident and problem management

• Coordinate technical diagnosis during major incidents and communicate impact, findings and recovery actions clearly.
• Complete evidence-based root-cause analysis and convert learning into engineering backlog improvements.
• Identify recurring failure patterns and remove underlying causes rather than relying on repeated manual intervention.
• Improve runbooks, diagnostics and recovery automation based on operational experience.

Desirable experience

• Professional GCP certification or equivalent evidence of advanced Google Cloud capability.
• OpenTelemetry, Google Cloud Monitoring, service mesh or distributed tracing experience.
• GitOps, policy as code, secrets management and automated compliance controls.
• Hybrid or multi-cloud environments and large-scale enterprise cloud networking.
• Financial services or another highly regulated, security-conscious environment.
• On-call operations, resilience testing, disaster recovery and capacity engineering.