We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countrie s, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.

Job Summary

We are seeking an experienced Google Cloud AI DevOps Engineer to design, build, and manage scalable cloud infrastructure and automated deployment pipelines on Google Cloud Platform (GCP). This role combines deep expertise in cloud engineering, DevOps practices, and AI/ML platform enablement to support data-driven and AI-powered solutions.

The successful candidate will work closely with Data Science, Platform Engineering, and Infrastructure teams to deliver secure, reliable, and highly available GCP-based environments while driving automation, efficiency, and continuous improvement.

Key Responsibilities

- Design, implement, and maintain automated build and deployment pipelines using GCP services such as Cloud Build, Cloud Functions, GKE, and GCE.
- Develop and manage infrastructure using IaC tools (Terraform, Cloud Deploy, Cloud Build, Jenkins, Packer, Terragrunt) to ensure consistent and scalable deployments.
- Create and optimize container images and manage container registries.
- Integrate and manage DevOps tools such as Jenkins, GitHub Actions, Bitbucket Pipelines, ArgoCD, and Tekton.
- Implement monitoring and logging using Cloud Operations, Prometheus, and Grafana.
- Apply automation and security best practices ensuring reproducibility, scalability, and compliance.
- Manage source control repositories (GitHub, Bitbucket) including branching, code reviews, and releases.
- Provide technical guidance, documentation, and best-practice enablement.

Skill Requirements

Required Skills & Expertise

- Experience building pipelines and infrastructure on GCP using tools such as Vertex AI, GKE, Cloud Build, and Cloud Functions.
- Expertise in DevOps methodologies and CI/CD tools (Jenkins, GitHub Actions, Bitbucket Pipelines, ArgoCD, Tekton).
- Deep knowledge of Docker, Dockerfiles,



and container registries.
- Hands-on experience with Terraform, Deployment Manager, and scripting (Python, Bash).
- Strong Git-based workflow experience.
- Monitoring/logging experience using Cloud Operations, Prometheus, Grafana.
- Solid collaboration skills with data science and platform engineering teams.
- Understanding of cloud security, IAM, and governance.
- Experience tuning and scaling AI workloads on GCP.
- Preferred: Google Cloud DevOps or AI Engineer certifications.

Qualifications & Certifications

- Bachelor’s degree in IT, Engineering, or a related field; MBA/management qualification is a plus.
- GCP Professional DevOps Engineer certification (required).
- GCP Professional Cloud Architect certification (preferred).
- Terraform Associate certification.

Why HCL

We are one of the fastest-growing large tech companies in the world, with offices in 50+ countries across the globe and 219,000 employees.

Our company is extremely diverse with 165 nationalities represented.

- We offer the opportunity to work with colleagues across the globe.
- We offer a virtual-first work environment, promoting a good work-life integration and real flexibility.
- We offer comprehensive benefits for all employees.
- We are a certified great place to work and a top employer in 17 countries, offering a positive work environment that values employee recognition and respect

Candidate Data Privacy Notice | HCL Technologies

We are committed to respecting your privacy and for the protection of your personal data. Your personal data will be collected and processed in line with our candidate privacy notice: candidate-privacy-notice. This privacy notice will help you to understand what personal data we collect about you, how we use this personal data, and what rights you have regarding your personal data. By replying to this email or submitting any personal data to HCLTech, you acknowledge that you have read and understood the candidate privacy notice and have provided your consent to the processing of your data for recruitment purposes as described in the privacy notice

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📌 Google Cloud AI DevOps Engineer (Melbourne)
🏢 HCLTech
📍 Melbourne