Google Cloud Infrastructure / DevOps Engineer

4 - 7 years

14 - 24 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Google Cloud Infrastructure / DevOps Engineer

Job Summary:

Google Cloud Infrastructure / DevOps Engineer

Responsibilities:

Cloud Infrastructure Management:

  • Manage and monitor Google Cloud Platform (GCP) services and components.
  • Design and implement automated deployment pipelines for application releases. Ensure high availability, scalability, and security of cloud resources.

CI/CD Pipeline Implementation:

  • Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Collaborate with developers to streamline application deployment processes.
  • Automate testing, deployment, and rollback procedures.

Infrastructure as Code (IaC):

  • Use tools like

    Terraform

    to define and manage infrastructure. Maintain version-controlled infrastructure code.
  • Ensure consistency across development, staging, and production environments.

Monitoring and Troubleshooting:

  • Monitor system performance, resource utilization, and application health.
  • Troubleshoot and resolve issues related to cloud infrastructure and deployment pipelines. Implement proactive monitoring and alerting mechanisms.

Security and Compliance:

  • Apply security best practices to protect cloud resources.
  • Ensure compliance with industry standards and internal policies. Collaborate with security teams to address vulnerabilities.

Collaboration and Documentation:

  • Work closely with development, operations, and QA teams.
  • Document infrastructure architecture, processes, and configurations. Share knowledge and best practices with team members.

Qualifications:

  • Education:

    Bachelor’s degree in Computer Science, Information Technology, or related field.

Experience:

  • Minimum of

    4

    years

    of industry experience, including at least

    1

    year

    designing and managing production systems using Google Cloud. Familiarity with GCP services (Compute Engine, Kubernetes Engine, Cloud Storage, etc.).
  • Exposure to containerization (Docker, Kubernetes) and microservices architecture.

Skills:

  • Proficiency in

    Python

    or

    Bash

    scripting for automation.
  • Strong understanding of

    DevOps

    principles

    and practices. Knowledge of

    Jenkins

    or other CI/CD tools.
  • Experience with

    GKE

    (Google

    Kubernetes

    Engine)

    for container orchestration. Familiarity with event streaming platforms (e.g., Kafka, Google Cloud Pub/Sub).

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