Technical Specialist

Technology, Data & Digital · IT Infrastructure & Security · DevOps · Cloud Engineering · Software Engineering

In short

The Google Cloud AI DevOps Engineer role focuses on designing, building, and managing end-to-end pipelines and infrastructure on Google Cloud Platform (GCP). Key responsibilities include implementing automated build and deployment pipelines, managing infrastructure with IaC tools, and integrating DevOps tools, while ensuring security and compliance. This position requires expertise in GCP services, DevOps methodologies, containerization, and scripting languages.

Responsibilities

Design, implement, and maintain automated build and deployment pipelines using GCP services like Cloud Build, Cloud Functions, GKE, and GCE.
Develop and manage infrastructure using IaC tools (Terraform, Cloud Deploy, Cloud Build, Jenkins, Packer, Terragrunt).
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.

Requirements

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.
Strong collaboration skills with data science and platform engineering teams.
Understanding of cloud security, IAM, and governance.
Experience tuning and scaling AI workloads on GCP.
GCP Professional DevOps Engineer certification (required).

Desired Qualifications

Preferred: Google Cloud DevOps or AI Engineer certifications.
GCP Professional Cloud Architect certification (preferred).
Terraform Associate certification.
MBA/management qualification is a plus.

Benefits

Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
Global technology company with over 223,000 people across 60 countries.
Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.

Skills

Google Cloud PlatformDevOpsCI/CDCloud BuildCloud FunctionsGKEGCETerraformCloud DeployJenkinsPackerTerragruntDockerContainer RegistriesGitHub ActionsBitbucket PipelinesArgoCDTektonCloud OperationsPrometheusGrafanaAutomationSecurityGitHubBitbucketPythonBashGitIAMVertex AI

#Google Cloud AI DevOps Engineer#GCP#DevOps#CI/CD#AI/ML#data-driven platforms#automation#scalability#compliance#Google Cloud#Terraform#Docker#Kubernetes#Python#Bash#Git

About HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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