Lead Backend Engineer (Python)

Job Overview And Responsibility

We are seeking a hands-on Technical Lead (Python) to join our Service Operations team, with a strong focus on Python development, automation, scripting, technical leadership, and DevOps practices. This role is ideal for a senior engineer or technical lead who is strong in Python, enjoys building automation solutions, and is comfortable working in cloud-native environments. The expected focus is approximately 70% Python development and automation testing and 30% DevOps-related activities, including CI/CD, Kubernetes, and deployment automation. The Technical Lead will provide technical direction, guide engineering practices, mentor team members, and work closely with development, QA, DevOps, and operations teams to improve system reliability, automate repetitive workflows, support testing activities, and contribute to scalable engineering practices. Key Responsibilities - Lead the design, development, maintenance, and enhancement of Python-based applications, automation tools, scripts, and utilities. - Provide technical leadership and guidance to engineers, including code reviews, solution design, troubleshooting, and best-practice adoption. - Design and implement automation scripts to support testing, monitoring, deployment, and operational workflows. - Build and maintain automation test scripts using Python and related frameworks. - Support backend service development, API integration, and internal tooling using Python. - Collaborate with development, QA, DevOps, and operations teams to define technical approaches and ensure effective delivery. - Drive improvements in code quality, maintainability, reliability, scalability, and performance. - Integrate automated scripts and tools into CI/CD pipelines, such as GitHub Actions or similar platforms. - Support DevOps-related activities, including build, deployment, release automation, and environment configuration. - Work with containerized environments using Docker and Kubernetes. - Collaborate with infrastructure and DevOps teams to support deployment and operations in cloud-native environments. - Troubleshoot application, automation, and deployment issues across development, test, and production-like environments. - Contribute to technical documentation, coding standards, automation guidelines, and continuous improvement initiatives. - Support team planning, task breakdown, technical estimation, and delivery coordination in Agile/DevOps environments. - Mentor and coach team members, helping them grow their technical capabilities and follow engineering best practices.