Google Cloud Devops Engineer - Immediate Joiners are preferred

1 - 5 years

10 - 20 Lacs

Posted:16 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Google Cloud Engineer

Title : Google Cloud Devops Engineer

Location : Hyderabad(Hybrid)

Work Employment Type: Full-time

Work Timings : 2:00 PM to 11:00 PM IST

No of Openings: 2

Key Responsibilities:

  • Automation & CI/CD:

    Design, implement, and maintain robust, end-to-end CI/CD pipelines (using

    Cloud Build, GitHub Actions

    ) to fully automate the deployment of our core platform and AI agents across Dev, QA, and Production environments.
  • Smart Auto-Scaling & Cost Reduction:

    Implement the

    smart auto-scaler

    logic, utilizing

    GKE, Cloud Run, and KEDA

    , to ensure AI agents scale down to near-zero when inactive and scale correctly under load.
  • Infrastructure as Code (IaC):

    Develop and maintain scalable infrastructure using

    Terraform

    to manage

    GCP resources

    , ensuring consistency for multi-tenant deployments and compliance requirements.
  • MLOps Workflow:

    Build the automation logic into our "Agent Genie" self-service platform, managing agent configuration, promotion (Dev $\rightarrow$ Prod), and incorporating necessary workflow approval gates.
  • Platform Stabilization:

    Collaborate with development teams to consolidate existing

    LLM Studio instances

    and standardize environments for improved governance and maintenance.

Required Skills & Experience:

  • Hands-on experience with

    Google Cloud Platform (GCP)

    services:

    GKE, Cloud Run, Cloud Build, IAM, and Cloud Monitoring

    .
  • Expertise in

    Docker and Kubernetes (GKE)

    for deploying, scaling, and managing containerized applications.
  • Proven experience designing and maintaining end-to-end

    CI/CD pipelines (Cloud Build, GitHub Actions, Jenkins, GitLab CI).

  • Proficient in

    Terraform

    for building and managing multi-environment cloud infrastructure.
  • Strong scripting and automation skills in Python, Bash, or Go.
  • Experience implementing

    auto-scaling, resource management (KEDA/GKE/Cloud Run

    ), and

    cost optimization

    strategies.
  • Familiarity with MLOps workflows, including environment promotion (Dev Prod) and agent lifecycle management.
  • Hands-on experience with monitoring, logging, and alerting tools (Stackdriver, Prometheus, Grafana, ELK).
  • Google Cloud Certification (Associate Cloud Engineer, Professional Cloud DevOps Engineer, or equivalent) preferred.

  • Strong problem-solving, collaboration, and communication skills; ability to thrive in a fast-paced, evolving platform environment.

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