DevOps Engineer

JD Below :

Roles & Responsibilities

Developing and maintaining the entire DevOps pipelines.

Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding.

Work with the vendors and for internal platforms to setup centralized DevOps solutions considering market best practice, Industry standard and ease of support.

Work with the vendors and for internal platforms to upgrade the DevOps tools farm and integrating with tools.

Lead analysis and resolution of root cause for Test Orchestration / Environment related issues

Ability to multitask and work in a fast-paced, collaborative team environment.

Excellent written and oral communication skills; writing, publishing and conference-level presentation skills

Stays current with industry trends and leads development of key DevOps, Runtime, and Operational innovation platforms.

Technical Skills required:

Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA and Confluence).

Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.

Skill to containerize a application and good if Kubernetes

Good Experience on OpenShift or AWS

Prior technical background on different build and branching strategies.

Deep technical background on Kubernetes deployment process.

Good knowledge on maintaining/deploying secrets in Kubernetes.

Prior working experience in setting up Jira workflow.

Strong hands-on experience on Shell or Groovy scripting.

Prior experience is customizing JIRA and Setting up confluence spaces.

Prior hand-on experience in setting up CI/CD pipeline as a centralized solution.

Hand on experience in setting up DevOps governance, Security standards and audit requirements.

Prior experience in setting up DevOps pipeline in internal and external cloud offerings.

Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)

Technical exposure of automation accomplished with advanced Python, Chef, Ruby and PowerShell

Experience in managing hybrid cloud/on-prem environments.

Familiarity with observability platforms and incident response workflows.

Working knowledge of AI / Machine Learning applications will be an advantage.

Soft Skills

Good knowledge of Agile process and principles

Strong in Software Engineering fundamentals

Excellent communication skills

Attention to detail

Analytical mind and problem-solving aptitude

Strong Organizational skills

Visual Thinking

Team management skills