01Overview
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 robust 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.
Solid 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 settings.
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. .
