Ansbile and Python with Immediate Joining

:

Role Purpose The purpose of this role is to lead DevOps team to facilitate better coordination among operations, development and testing functions by automating and streamlining the integration and deployment processes ͏ Title: Ansible with Python Location: Bengaluru,pune and Hyderabad Total years of experience: 6 years to 10 years Core technical capability (Must Have) • Strong hands-on experience with deployment and automation tools, including Ansible, G3, and Azure (e.g., deploying, configuring, troubleshooting, and optimizing release flows). • Proven ability to design, build, and maintain CI/CD pipelines end-to-end (build, test, security checks, approvals, deployments, rollback strategies). • Advanced scripting capability with PowerShell (writing reusable, modular scripts; error handling; logging; integration with APIs and toolchains). 2) Experience level • Minimum 2 years’ relevant experience in a developer / DevOps / automation-focused role, with evidence of delivery in production environments. 3) Delivery,

, and automation outcomes • Demonstrated experience engaging with customers/stakeholders, translating

into practical technical solutions. • Ability to identify opportunities for automation, propose solution options, and deliver measurable improvements (speed, reliability, reduced manual effort, quality). 4) Ways of working / project management • Strong understanding of project delivery disciplines (planning, prioritisation, dependencies, risk/issue management, change control). • Confident using Jira (backlog management, user stories, workflow) and Confluence (technical documentation, runbooks, decisions, knowledge sharing). 5) Communication & collaboration • Strong written and verbal communication skills, able to explain technical topics clearly to both technical and non-technical audiences. • Produces clear documentation and collaborates effectively across teams (developers, testers, platform teams, operations, product/PM). 6) AI awareness (increasing priority) • Understanding of AI concepts and commonly used tools (e.g., using AI-assisted development tools responsibly, prompt techniques, automation use-cases, quality/safety considerations). • Ability to identify where AI can support engineering productivity and automation outcomes. 7) Certifications (