Devops Engineer · Chennai

Devops Engineer is a delivery-focused opportunity based in Chennai, India.

Required Skills  Experience Strong experience in DevOps engineering and CICD pipelines Expertise in o Automation and orchestration tools o Cloud and platform engineering practices Exposure to AIML or GenAI enablement in engineering workflows Experience in o Performance engineering o Scalability and resilience design o Failover and disaster recovery mechanisms Strong understanding of modern software delivery lifecycle   Key Responsibilities Drive DevOps transformation with AI enablement Implement automation first engineering practices Lead AI rollout initiatives across engineering workflows Enable sandboxing environments for AI experimentation and adoption Establish continuous assessment frameworks for engineering maturity Build and enhance resilience engineering capabilities including o Failover design and implementation o High availability architecture Drive performance engineering and scalability improvements Implement continuous optimization and monitoring frameworks   Common Expectations Operate in a high collaboration client facing environment Demonstrate continuous learning mindset especially in AI adoption Ability to work across cross functional teams Dev Ops Platform AI Focus on oAutomationfirst delivery o AI native engineering practices o Operational excellence and reliability  

Key Responsibilities

• Required Skills  Experience Strong experience in DevOps engineering and CICD pipelines Expertise in o Automation and orchestration tools o Cloud and platform engineering practices Exposure to AIML or GenAI enablement in engineering workflows Experience in o Performance engineering o Scalability and resilience design o Failover and disaster recovery mechanisms Strong understanding of modern software delivery lifecycle   Key Responsibilities Drive DevOps transformation with AI enablement Implement automation first engineering practices Lead AI rollout initiatives across engineering workflows Enable sandboxing environments for AI experimentation and adoption Establish continuous assessment frameworks for engineering maturity Build and enhance resilience engineering capabilities including o Failover design and implementation o High availability architecture Drive performance engineering and scalability improvements Implement continuous optimization and monitoring frameworks   Common Expectations Operate in a high collaboration client facing environment Demonstrate continuous learning mindset especially in AI adoption Ability to work across cross functional teams Dev Ops Platform AI Focus on oAutomationfirst delivery o AI native engineering practices o Operational excellence and reliability &nbsp
• Design, build, and improve software systems that support the goals of the Devops Engineer function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.
• Support release readiness by validating edge cases, dependencies, and rollback considerations.
• Share knowledge through pairing, mentoring, documentation, and constructive code reviews.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.