Lead Python Engineer

Job Description

Role Overview: As the Lead Python Engineer, you will be responsible for overseeing the architecture and development of scalable, high-performance systems. You will lead the technical direction for projects, mentor junior and mid-level engineers, and collaborate with cross-functional teams to deliver high-quality software solutions. Your experience in distributed systems, design patterns, and modern Python frameworks will be key to ensuring the long-term success and maintainability of our projects. Key Responsibilities: Technical Leadership: Lead the development of scalable, high-performance systems using Python. Provide technical direction and make architectural decisions to ensure system reliability, maintainability, and scalability. Code Quality Best Practices: Drive the adoption of best practices in coding, testing, and development workflows. Ensure code quality, maintainability, and reusability across the team. Distributed Systems Design: Architect and build distributed systems with a focus on fault tolerance, scalability, and performance. Experience with microservices architectures is a plus. Mentorship Collaboration: Mentor and guide engineers, providing feedback on their work, helping them grow their technical skills, and fostering a collaborative team environment. Performance Optimization: Optimize systems for performance, scalability, and resource utilization. Troubleshoot and resolve performance bottlenecks. Continuous Improvement: Stay up-to-date with the latest developments in Python and distributed systems. Propose and implement improvements to the development process and tools. Cross-Functional Collaboration: Work closely with product managers, designers, and other engineering teams to define and implement new features. Collaborate on product strategy and roadmap. Key Requirements: Experience: 5-10 years of hands-on experience in software engineering, with a focus on Python development in large-scale, distributed systems. Deep Knowledge of Python: Expertise in Python 3, with experience in frameworks like Django, Flask, or FastAPI. Familiarity with asynchronous programming, Python performance optimization, and Python testing frameworks is a plus. Distributed Systems: Proven experience in building and maintaining distributed systems. Familiarity with concepts such as microservices, fault tolerance, CAP theorem, event-driven architectures, and high availability. Databases Storage: Strong experience with relational and NoSQL databases, including SQL, PostgreSQL, MySQL, or MongoDB. Experience with caching systems like Redis and message brokers like Kafka or RabbitMQ. Cloud DevOps: Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Experience with CI/CD pipelines and DevOps practices. Performance Tuning Scalability: Demonstrated experience in performance optimization, including load balancing, horizontal scaling, and distributed tracing. Leadership Mentorship: Experience leading engineering teams, providing mentorship, and driving technical initiatives. Ability to communicate technical concepts clearly to both technical and non-technical stakeholders. Collaboration Problem Solving: Excellent problem-solving and communication skills. Ability to work collaboratively in a fast-paced, agile environment. Bachelor s or Master s degree in Computer Science, Engineering, or related fields (or equivalent experience). Preferred Qualifications: Experience with GenAI or Machine Learning is a plus. Familiarity with modern front-end technologies (e.g., React, Vue) and how they integrate with Python backends. Open Source Contributions or active involvement in the Python community.