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Technical Specialist

HCLTech -
Gautam Budh Nagar, Uttar Pradesh

Job details

19 hours ago

Qualifications

CI/CD
Cloud architecture
Software deployment
DevOps
Engineering
Git
Google Cloud Platform
Master's degree
Bash (Unix shell)
Docker
Cloud security
Bachelor's degree
Terraform
Continuous integration
GitHub
Data science
AI
MBA
Jenkins
Python
Identity & access management

Full job description

Technical Specialist

Gautam Buddha Nagar, Uttar Pradesh

Job Summary

Position Overview

The Google Cloud AI DevOps Engineer (8+ years) is responsible for designing, building, and managing end‑to‑end pipelines and infrastructure on Google Cloud Platform (GCP). This role combines deep cloud engineering expertise with DevOps best practices to enable scalable CI/CD, automated deployments, and robust monitoring for AI/ML and data-driven platforms. The engineer collaborates closely with data scientists, platform engineering, and infrastructure teams to deliver secure, reliable, and efficient GCP-based solutions.

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

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.

Preferred: Google Cloud DevOps or AI Engineer certifications.

Other Requirements

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.

Job Summary

Key Responsibilities

Skill Requirements

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