Site Reliability Engineer

• Lead reliability, availability, scalability and performance improvements across GCP-hosted applications, platforms and shared services.
• Define and operate service level indicators, service level objectives and error-budget practices that connect technical health to customer impact.
• Design actionable observability using Dynatrace, including instrumentation, dashboards, distributed tracing, service health views and SLO-based alerting.
• Build modular, reusable and maintainable Terraform code for secure cloud infrastructure, platform services and environment provisioning.
• Administer production Kubernetes environments, covering cluster lifecycle, workload deployment, capacity, upgrades, networking and platform troubleshooting.
• Automate operational activities and repetitive support work using Python, Groovy, Bash or PowerShell to reduce toil and improve consistency.
• Build and enhance CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions or equivalent tooling, with automated quality and deployment controls.
• Lead incident response, complex troubleshooting, root-cause analysis and post-incident reviews; ensure corrective actions are tracked to completion.
• 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.

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.