Senior DevOps Engineer - Docker/Kubernetes (5-10 yrs)

Job Description :

Relevant Yrs of experience :5+ years.

Mandatory skills :

- Proven experience with CI/CD tools like Red Hat Ansible, Kubernetes, Prometheus, GitHub, Atlassian Jira, Confluence, and Jenkins.

- Must have Groovy scripting knowledge.

- Good to have Python, Perl or Ruby scripting knowledge.

- Practical familiarity with public cloud resources and services, like Google Cloud/ AWS, or Microsoft Azure.

- Good to have Terraform knowledge.

- Familiarity with various IT monitoring and management tools like Datadog.

- Proficiency with container technologies like Docker and Kubernetes.

- Proficiency in troubleshooting and resolving technical issues across test and production environments.

- 5+ years of experience as a DevOps Engineer.

- Candidate should be able to work independently without much/ minimum guidance.

- Candidate should have real time experience and not just theoretical knowledge.

Responsibilities :

- Design, implement, and maintain robust CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.

- Automate build, test, and deployment processes to accelerate software delivery.

- Integrate with version control systems (Git) and artifact repositories (Nexus, Artifactory).

- Utilize configuration management tools like Ansible to automate infrastructure provisioning and management.

- Work with cloud platforms (Google Cloud, AWS, or Azure) to deploy and manage resources.

- Leverage infrastructure as code (IaC) principles to define and manage infrastructure in a declarative manner.

- Build and deploy containerized applications using Docker.

- Manage container orchestration platforms like Kubernetes to ensure scalable and resilient deployments.

- Implement robust monitoring solutions using tools like Prometheus, Grafana, and Datadog.

- Configure alerts and notifications to proactively identify and resolve issues.

- Diagnose and resolve complex technical problems in production environments.

- Collaborate with development and operations teams to identify and implement solutions to improve system performance and reliability.