Devops Engineer

1 - 3 years

12 - 18 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

DevOps

  • Manage and optimize AWS infrastructure components such as EC2, VPC, RDS, and S3.
  • Implement Infrastructure as Code (IaC) using

    Terraform

    for scalable and repeatable deployments.
  • Monitor performance and implement

    cost optimization strategies

    (e.g., Spot Instances).

2. Containerization & Orchestration:

  • Build and manage

    Docker

    images and containers.
  • Deploy, scale, and monitor applications on

    Kubernetes (EKS preferred)

    .
  • Use

    Helm Charts

    for packaging and deployment consistency.

3. CI/CD Pipeline Automation:

  • Set up and manage

    Jenkins

    and

    GitHub Actions

    pipelines for build, test, and deployment automation.
  • Improve deployment efficiency and reliability through continuous integration and delivery practices.

4. Monitoring, Logging & Security:

  • Implement observability tools like

    Prometheus

    ,

    Grafana

    , and

    CloudWatch

    for proactive monitoring.
  • Set up centralized logging and alerting systems.
  • Ensure best practices in

    IAM policies

    , network security, and compliance.

5. Collaboration & Documentation:

  • Work closely with Developers, QA, and Product teams for seamless deployment and delivery.
  • Maintain clear documentation of system architecture, processes, and standards.

Qualifications & Skills

  • 1-3 years of hands-on experience with

    AWS cloud services

    (EC2, VPC, RDS, S3, IAM, etc.).
  • Practical experience with

    Terraform

    for IaC.
  • Strong understanding of

    Docker

    and

    Kubernetes

    (EKS preferred).
  • Experience managing

    CI/CD pipelines

    (Jenkins, GitHub Actions).
  • Good understanding of

    networking, security

    , and

    monitoring tools

    .
  • Scripting experience in

    Bash

    or

    Python

    for automation tasks.

Good to Have:

  • Familiarity with

    Kafka

    or other event-driven systems.
  • Experience of

    Helm

    for Kubernetes deployment management.
  • Knowledge of

    AWS cost optimization

    practices (Spot Instances, Auto Scaling)


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