DevOps Engineer with AI and Banking

Responsibilities: • Developing and maintaining the entire DevOps pipelines • Coordinate with the stakeholders from requirements gathering until successful implementation DevOps pipeline on boarding • Support developers in preparation of JIRA deployment tickets as part of change management • 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 Requirements: • 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 • Must have experience in containerizing applications and have hands-on with building pods / containers in 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 • Working knowledge of Big Data environment like Hadoop, Cloudera and ElasticSearch Requirements Technical Skills: • CI/CD software, tools and process • Bitbucket • Jenkins • JIRA • Artifactory • Confluence • Sonar • Veracode for SAST