Lead Consultant, SRE Prod Support with Python

Genpact (NYSE : G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI

Inviting applications for the role of Lead Consultant, SRE Prod Support with Python

In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies.

Responsibilities

Serve as the frontline responder for platform and application issues in production.

Monitor system health, perform incident triage, and root cause analysis.

Collaborate with SRE, DevOps, and development teams to maintain platform stability.

Work with Autosys for job scheduling, monitoring, and recovery.

Design and develop reusable, parameterized, and scalable test packs using Pytest and Locust.

Automate performance, reliability, and resilience in test cases for cloud-hosted workloads.

Integrate non-functional test packs into CI / CD pipelines using Jenkins and GitHub Workflows.

Design and execute chaos experiments to identify system weaknesses.

Validate application behavior under failure conditions and contribute to resilience improvements.

Qualifications we seek in you!

Minimum Qualifications

BE / B Tech / MCA

Excellent written and verbal communication skills

Preferred Qualifications / Skills

Strong Python development experience focused on automation and test engineering.

Hands-on experience with Pytest and Locust for functional and non-functional test automation.

Intermediate Linux skills (file system, networking, systemd, permissions, process monitoring).

Experience with production support, platform health monitoring, and incident management.

Familiarity with chaos engineering tools and practices.

Working knowledge of Git, GitHub Workflows, and Jenkins pipelines.

Proficiency in using and troubleshooting Docker containers.

Experience with Autosys or equivalent job schedulers.

Understanding of production workloads, deployment architectures, and scalability challenges.