DevOps Engineer
Posted 5 days ago by Infinity Quest
Negotiable
Undetermined
Undetermined
Halifax, England, United Kingdom
Summary: The role of DevOps Engineer focuses on leading infrastructure engineering within the Google Cloud Platform (GCP) environment, emphasizing secure and automated cloud capabilities. The position requires expertise in designing, building, and operating cloud infrastructure, with a strong emphasis on collaboration, mentoring, and continuous improvement. The engineer will work closely with product teams to enable efficient delivery of IaaS solutions while ensuring compliance and performance standards are met. Key responsibilities include automation, observability, and team leadership within the GCP DCX team.
Key Responsibilities:
- Design, build, and operate secure, automated Google compute capabilities.
- Enable product teams to deliver Google IaaS solutions efficiently.
- Develop and maintain Infrastructure as Code (IaC) solutions for Google resources.
- Embed security best practices throughout the platform lifecycle.
- Define, monitor, and operate against service level objectives (SLOs/SLIs).
- Drive automation, observability, and performance tuning for platform reliability.
- Collaborate with architecture and feature teams to evolve the cloud roadmap.
- Lead, motivate, and mentor a team of infrastructure engineers.
Key Skills:
- Proven experience with Google Cloud Platform infrastructure engineering.
- Proficiency in Infrastructure as Code using Terraform and CI/CD systems.
- Experience with GCP Cloud Armor and networking security controls.
- Skills in scripting with Bash, PowerShell, or Python.
- Ability to lead and mentor a team of engineers.
- Relevant GCP certifications are desirable.
Salary (Rate): undetermined
City: Halifax
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
description: Google Cloud Platform infrastructure: • Compute Engine • Red Hat Enterprise Linux (RHEL) virtual machines • Windows virtual machines • Local SSD • Persistent Disk • Cloud Networking • Cloud Logging • Cloud Monitoring • Cloud Storage • Cloud Key Management • Cloud Secret Manager • Dynatrace • GitHub Enterprise • HashiCorp products, including Terraform and Packer • Jenkins • Backstage • Jira Cloud and Jira Align Skillset Required : Google Cloud Platform Infrastructure Engineering: Proven experience designing, building, and operating secure, automated cloud platform capabilities, with a focus on Google compute products and services. • Infrastructure as Code: Proficiency with Terraform (minimum), Jenkins, and modern CI/CD systems (GitHub Actions, Harness, Jenkins). • Networking & Security: Experience with GCP Cloud Armor, GCP Networking, and embedding secure-by-design controls from design to runtime. • Automation & Observability: Implementing actionable observability, performance tuning, and automation to reduce toil. Defining and operating against SLOs/SLIs. • Scripting & Tooling: Scripting in Bash, PowerShell, or Python. Familiarity with HashiCorp Vault, Harness, and Backstage is desirable. • Team Leadership, Collaboration & Mentoring: Ability to lead and motivate a team of infrastructure engineers, ensuring cross-team collaboration and mentoring. • Certifications: Relevant GCP certifications are desirable. Scope of services As an infrastructure engineering lead within the Public Cloud Services Compute (GCP DCX) team, the scope of service includes: • Design, Build, and Operate: Deliver and maintain secure, automated Google compute capabilities, supporting Red Hat Enterprise Linux (RHEL) and Windows virtual machine and broader compute and networking products and configurations. • Platform Enablement: Enable product teams to deliver Google IaaS solutions at pace, leveraging reusable patterns and robust integration tools. • Infrastructure Automation: Develop and maintain Infrastructure as Code (IaC) solutions for provisioning and managing Google resources, ensuring repeatability and compliance. • Security & Compliance: Embed security best practices and controls throughout the platform lifecycle, safeguarding organisational and customer data. • Performance & Reliability: Define, monitor, and operate against service level objectives (SLOs/SLIs), ensuring high availability, performance, and fault tolerance. • Continuous Improvement: Drive automation, observability, and performance tuning to reduce manual effort and improve platform reliability. • Collaboration: Work closely with architecture and feature teams to evolve the cloud roadmap and platform products, contributing to documentation and enablement. • Team Leadership, Mentoring & Standards: Lead, motivate, and mentor a team of infrastructure engineers and uphold engineering standards, fostering a culture of continuous learning and improvement.