Site Reliability Engineer - GCP

The Onset; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Job summary

The Onset Group seeks two experienced Site Reliability Engineers to join a cloud engineering team supporting a high-traffic digital platform. You will work across Google Cloud Platform (GCP), Kubernetes and automation, focusing on performance, scalability and cost efficiency.

This hands-on role covers production support and platform improvements, with emphasis on observability, incident response and automation. AI-assisted operations are being explored.

Qualifications

• 4–5 years in SRE/DevOps/Cloud Eng.
• Extensive GCP production experience.
• Hands-on Kubernetes, GKE, Helm, Terraform and CI/CD.

Responsibilities

• Troubleshoot production issues across GCP and containers.
• Design and maintain secure, scalable GCP infrastructure.
• Manage GKE deployments, Helm and CI/CD pipelines.
• Implement OpenTelemetry, monitoring dashboards and alerts.

Skills

GCP expertise

Kubernetes / GKE

Terraform

CI/CD pipelines

GitOps with ArgoCD

OpenTelemetry

Cloud cost optimisation

Networking & security in GCP

Incident management

Production troubleshooting

Tools

Helm

ArgoCD

GitHub Actions

Harness

Dynatrace

Job description

We're looking for two experienced Site Reliability Engineers (SREs) to join a cloud engineering team supporting a high-traffic digital platform.

You’ll work across Google Cloud Platform (GCP), Kubernetes, infrastructure automation and production reliability, with a focus on improving performance, scalability and cloud cost efficiency.

This is a hands-on engineering role covering both production support and platform improvements. You’ll help manage and improve existing infrastructure while introducing better automation, observability and incident response practices.

The team is also exploring emerging approaches such as AI-assisted operations, automated incident response and self-healing infrastructure.

Key Responsibilities

• Production Support & Reliability: Troubleshoot infrastructure and application issues across GCP, manage production incidents and improve platform stability.
• GCP Infrastructure: Design, build and maintain secure, scalable cloud infrastructure, with a focus on availability, performance and reliability.
• Kubernetes & GKE: Manage, deploy and scale containerised applications using Google Kubernetes Engine (GKE), Helm and CI/CD pipelines.
• Infrastructure as Code: Build and maintain Terraform configurations, including reusable modules, remote state management and infrastructure provisioning.
• GitOps & Automation: Automate infrastructure and application deployments using ArgoCD, GitOps practices and CI/CD tooling.
• Observability & Monitoring: Implement OpenTelemetry, distributed tracing, monitoring dashboards and alerting using GCP Cloud Monitoring, Cloud Logging and tools such as Dynatrace.
• Cloud Cost Optimisation: Identify and implement cost-saving opportunities through GKE rightsizing, resource management and automated cloud usage reporting.
• Networking & Security: Manage GCP networking, VPCs, firewalls, load balancing, private clusters, IAM and service account permissions.
• Continuous Improvement: Improve operational processes, reduce manual intervention and develop automation to support platform reliability.

Required Skills & Experience

• Minimum 4-5 years of hands-on experience in Site Reliability Engineering, DevOps or Cloud Engineering.
• Extensive experience working with Google Cloud Platform (GCP) in production environments.
• Hands-on experience with Kubernetes, GKE and Helm, including deployment, scaling and troubleshooting.
• Advanced Terraform experience, including modules, remote backends and state management.
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, Azure DevOps or Harness.
• Experience implementing GitOps workflows with ArgoCD.
• Practical experience implementing OpenTelemetry for distributed tracing and metrics, alongside monitoring, dashboards and alerting.
• Experience with GCP networking, including VPCs, load balancing, private endpoints and firewall configuration.
• Understanding of GCP IAM, service accounts, Workload Identity and least-privilege access.
• Proven ability to troubleshoot production incidents across infrastructure, containers and applications.

Preferred / Bonus Skills

• AWS infrastructure experience.
• Experience troubleshooting JVM-based applications in Kubernetes environments.
• FinOps experience, including cloud billing analysis, GKE rightsizing and cost optimisation.
• SQL and BigQuery experience, particularly building automated reporting or cloud cost data pipelines.
• Python or Bash scripting for automation.
• Experience with Cloud Run, Cloud Functions or Cloud Scheduler.
• Familiarity with Apigee X or similar API management platforms.
• Exposure to AI-assisted operations, automated incident response or self-healing systems.

We're looking for two experienced Site Reliability Engineers (SREs) to join a cloud engineering team supporting a high-traffic digital platform.

You’ll work across Google Cloud Platform (GCP), Kubernetes, infrastructure automation and production reliability, with a focus on improving performance, scalability and cloud cost efficiency.

This is a hands-on engineering role covering both production support and platform improvements. You’ll help manage and improve existing infrastructure while introducing better automation, observability and incident response practices.

The team is also exploring emerging approaches such as AI-assisted operations, automated incident response and self-healing infrastructure.

Key Responsibilities

• Production Support & Reliability: Troubleshoot infrastructure and application issues across GCP, manage production incidents and improve platform stability.
• GCP Infrastructure: Design, build and maintain secure, scalable cloud infrastructure, with a focus on availability, performance and reliability.
• Kubernetes & GKE: Manage, deploy and scale containerised applications using Google Kubernetes Engine (GKE), Helm and CI/CD pipelines.
• Infrastructure as Code: Build and maintain Terraform configurations, including reusable modules, remote state management and infrastructure provisioning.
• GitOps & Automation: Automate infrastructure and application deployments using ArgoCD, GitOps practices and CI/CD tooling.
• Observability & Monitoring: Implement OpenTelemetry, distributed tracing, monitoring dashboards and alerting using GCP Cloud Monitoring, Cloud Logging and tools such as Dynatrace.
• Cloud Cost Optimisation: Identify and implement cost-saving opportunities through GKE rightsizing, resource management and automated cloud usage reporting.
• Networking & Security: Manage GCP networking, VPCs, firewalls, load balancing, private clusters, IAM and service account permissions.
• Continuous Improvement: Improve operational processes, reduce manual intervention and develop automation to support platform reliability.

Required Skills & Experience

• Minimum 4-5 years of hands-on experience in Site Reliability Engineering, DevOps or Cloud Engineering.
• Extensive experience working with Google Cloud Platform (GCP) in production environments.
• Hands-on experience with Kubernetes, GKE and Helm, including deployment, scaling and troubleshooting.
• Advanced Terraform experience, including modules, remote backends and state management.
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, Azure DevOps or Harness.
• Experience implementing GitOps workflows with ArgoCD.
• Practical experience implementing OpenTelemetry for distributed tracing and metrics, alongside monitoring, dashboards and alerting.
• Experience with GCP networking, including VPCs, load balancing, private endpoints and firewall configuration.
• Understanding of GCP IAM, service accounts, Workload Identity and least-privilege access.
• Proven ability to troubleshoot production incidents across infrastructure, containers and applications.

Preferred / Bonus Skills

• AWS infrastructure experience.
• Experience troubleshooting JVM-based applications in Kubernetes environments.
• FinOps experience, including cloud billing analysis, GKE rightsizing and cost optimisation.
• SQL and BigQuery experience, particularly building automated reporting or cloud cost data pipelines.
• Python or Bash scripting for automation.
• Experience with Cloud Run, Cloud Functions or Cloud Scheduler.
• Familiarity with Apigee X or similar API management platforms.
• Exposure to AI-assisted operations, automated incident response or self-healing systems.

Contract Details

Location: Melbourne / Sydney / Hybrid

Engagement: Day-rate contract

Start: Immediate

Duration: 6 months

If you’re an experienced GCP-focused SRE who enjoys hands-on engineering, solving production problems and improving cloud infrastructure through automation, we’d be keen to hear from you.