Site Reliability Engineer (GCP)

Insight; Manchester; On-site; GBP 90,000 - 130,000; Full time

Job summary

Insight is seeking a hands-on Lead SRE to improve reliability and performance of GCP-hosted applications. You will define SLOs, implement Dynatrace-based observability, and craft secure Terraform provisioning for cloud environments.

Responsibilities include Kubernetes administration, automation of operational tasks, and leading incident response with RCA and follow-up actions. Strong scripting and CI/CD expertise are essential.

Qualifications

• Hands-on experience with GCP operations and SRE practices.
• Strong knowledge of Dynatrace observability tooling.
• Proficient in Terraform for secure cloud infrastructure provisioning.
• Kubernetes administration including clusters, deployments, upgrades and networking.
• Proficient in scripting (Python, Bash, PowerShell) for automation.
• Experience building and maintaining CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions).
• Incident response, RCA, and post-incident reviews with action follow-through.

Responsibilities

• Lead reliability, availability, scalability, and performance improvements for GCP-hosted applications and services.
• Define SLIs, SLOs, and error budgets and align health with customer impact.
• Design and implement observability solutions using Dynatrace with instrumentation and dashboards.
• Develop modular Terraform code for secure cloud environments and provisioning.
• Administer production Kubernetes environments including lifecycle, deployments, upgrades, and networking.
• Automate operations to reduce manual toil using Python, Groovy, Bash, or PowerShell.
• Drive CI/CD quality controls and automated deployments with Jenkins, Azure DevOps, or GitHub Actions.
• Lead incident response, perform complex troubleshooting, and ensure corrective actions post-incident.

Job description

Lead reliability, availability, scalability, and performance improvements for GCP-hosted applications, platforms, and shared services.

• Define and manage service level indicators (SLIs), service level objectives (SLOs), and error-budget practices to align technical health with customer impact.
• Design and implement observability solutions using Dynatrace, including instrumentation, dashboards, distributed tracing, service health monitoring, and SLO-based alerting.
• Develop modular, reusable, and maintainable Terraform code for secure cloud infrastructure and environment provisioning.
• Administer production Kubernetes environments, including cluster lifecycle, workload deployment, upgrades, networking, and troubleshooting.
• Automate operational activities using Python, Groovy, Bash, or PowerShell to reduce manual effort and increase consistency.
• Build and enhance CI/CD pipelines using tools like Jenkins, Azure DevOps, or GitHub Actions with automated quality and deployment controls.
• Lead incident response, perform complex troubleshooting, root-cause analysis, and post-incident reviews, ensuring follow-up actions are completed.
• Embed security, resilience, monitoring, and supportability into platform and application designs from the outset.
• Coach engineers, contribute reusable standards and patterns, and promote SRE and operational excellence across engineering communities.
• Drive automation, self-service, and repeatable engineering patterns to reduce manual effort and operational toil.
• Ensure faster incident restoration, stronger incident learning, and sustained reduction in repeat failures.
• Collaborate with stakeholders to explain service risk and technical options, working effectively across multiple teams.
• Demonstrate hands-on expertise in GCP operations, SRE practices, Dynatrace observability, Terraform, Kubernetes, CI/CD, scripting, cloud security, networking, and DevOps.