Lead Software Engineer (Python) - GEXL

Key Responsibilities

• Design, develop, and maintain services and libraries using Python.
• Build robust abstractions for process management, inter-process communication, and automation on Linux systems.
• Make critical technical decisions that shape the platform s architecture, scalability, and functionality.
• Lead and implement complex software development initiatives and projects with a focus on reliability and performance.
• Continuously improve system performance, reliability, and scalability through monitoring, optimization, and automation.
• Effectively delegate tasks, mentor junior engineers, and foster a culture of collaboration, innovation, and knowledge sharing.
• Collaborate with cross-functional teams to gather requirements, design technical solutions, and ensure alignment with business and Agile goals.
• Identify and implement innovative tools, frameworks, and processes to enhance productivity and maintainability.
• Actively participate in incident resolution and troubleshooting, providing timely and effective solutions for production issues.
• Champion Agile engineering practices, CI/CD pipelines, and automated testing frameworks.

Required Qualifications

• Bachelor s degree in Computer Science, Engineering, or a related field; a Master s is a plus.
• Minimum of 6 years of hands-on experience in software development, with a strong focus on Python.
• Strong proficiency in Python frameworks e.g. Flask, FastAPI, or Django.
• Solid experience in building and consuming RESTful APIs.
• Deep understanding of Linux systems, shell scripting, and system internals.
• Familiarity with networking concepts, process management, and system-level programming on Linux.
• Proven ability to write secure, maintainable, and high-quality code.
• Strong understanding of Agile engineering practices and DevOps principles.
• Excellent problem-solving skills with meticulous attention to detail.
• Demonstrated expertise in debugging, performance tuning, and automation in Linux environments.

Preferred Qualifications

• Knowledge of distributed systems, microservices architecture, and cluster management.
• Familiarity with configuration management and orchestration tools e.g. Ansible, Puppet, or Chef.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Exposure to monitoring and logging tools e.g. Prometheus, Grafana, ELK stack.