DevOps Engineer - Docker & Kubernetes

Key Responsibilities :

- CI/CD Pipeline Development : Design, implement, and manage continuous integration and continuous deployment (CI/CD) pipelines to support fast, reliable releases.

- Containerization : Develop and maintain Docker containers for various applications and services, ensuring consistency across development, staging, and production environments.

- Orchestration : Deploy and manage Kubernetes clusters to orchestrate containerized applications, ensuring high availability and scalability.

- Configuration Management : Use Chef to automate the provisioning, configuration, and management of infrastructure and applications.

- Collaboration : Work closely with development, QA, and operations teams to ensure that software builds, tests, and deployments are automated and efficient.

- Monitoring and Optimization : Implement monitoring tools and practices to ensure the reliability and performance of systems, and continuously optimize the infrastructure for performance and cost.

- Security and Compliance : Ensure that infrastructure and applications meet security and compliance requirements, implementing best practices for DevSecOps.

- Documentation : Create and maintain comprehensive documentation for CI/CD pipelines, containerization practices, and configuration management processes.

Tools & Technologies :

- Proficiency with Docker and Kubernetes for containerization and orchestration.

- Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar.

- Strong knowledge of Chef for configuration management.

- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

Qualifications :

- 5 to 9 years of hands-on experience in DevOps, with a strong focus on CI/CD, infrastructure automation, and cloud platforms like Azure.

- Proficient in Docker and Kubernetes for containerization and orchestration of scalable, production-grade applications.

- Strong experience with Chef for configuration management and infrastructure automation.

- Skilled in implementing observability solutions and optimizing system performance through monitoring and logging.

- Proficient in scripting languages (e.g., Bash, Python) to automate deployment workflows and system tasks