GCP DevOps Engineer with AI

Role : GCP Devops engineer with AI

Location - Bengaluru and Hyderabad

Work mode - Remote

Years of Experience - 6 plus

Salary 20 to 25 LPA

About the Role

This is a full-time remote role for a GCP DevOps Engineer with AI. The GCP DevOps Engineer will be responsible for managing and automating infrastructure using Infrastructure as Code (IaC), developing and maintaining software applications, implementing and managing continuous integration systems, and performing system administration tasks. Develop scalable, AI-powered analytics solutions that drive insights, forecast performance, and optimize financial outcomes.

Responsibilities

Design, build, and manage secure, scalable, and high-availability cloud environments in GCP.

Expertise in GCP tool set (Cloudbuild, codedeploy, artifactory repository, secret manager, Google Pub/Sub, and GCS).

Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, CloudFormation, Pulumi, and Ansible.

Building and scaling Gen AI applications using Vertex AI to support dynamic planning, financial scenario modeling, predictive forecasting, and automated executive summaries.

Implement multi-cloud strategies, hybrid cloud deployments, and cloud networking solutions.

Optimize cloud costs through monitoring, auto-scaling, and resource provisioning techniques.

Architect, implement, and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD.

Automate build, test, deployment, and rollback processes for applications and infrastructure.

Ensure secure DevOps practices, including secrets management, policy-as-code, and automated compliance.

Build automated alerting and response mechanisms for cloud and DevOps environments.

Implement chaos engineering to improve system resilience and fault tolerance.

Innovation & Continuous Improvement: Continuously evaluate new DevOps and cloud technologies to improve efficiency and scalability.

Automate repetitive tasks and enhance self-service capabilities for development teams.

Participate in architecture discussions, design reviews, and proof-of-concept (PoC) implementations.

Qualifications

Hands-on experience in Cloud & DevOps Engineering roles.

Deep understanding of DevOps methodologies, CI/CD pipeline design, and automation.

Strong experience with Terraform, Ansible, CloudFormation, and Kubernetes.

Proficiency in Jenkins, GitHub Actions, GitLab CI/CD, and Azure DevOps.

Proficiency in scripting and automation using Python, Bash, PowerShell, or Go.

Experience with observability tools like Prometheus, Grafana, ELK, and Datadog.