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Technical Lead
2 weeks ago
Technical Lead - Python
We are looking for a Python Team Lead (5+ years - with at least 2 years in a leadership role) who can combine strong technical expertise with leadership skills. The ideal candidate will guide a team of Python developers, drive best practices, and deliver scalable, high-performance solutions. You will be responsible for project architecture, mentoring team members, and collaborating with cross-functional teams to meet business objectives.
Key Responsibilities:
- Lead a team of Python developers, providing technical guidance, mentoring, and performance feedback.
- Design and develop scalable, maintainable, and secure applications using Python frameworks (Django, Flask, FastAPI).
- Drive system design, architecture decisions, and code reviews.
- Collaborate with product managers, business analysts, and QA teams to deliver high-quality software.
- Ensure best practices in coding standards, version control, CI/CD, testing, and documentation. Optimize application performance, scalability, and reliability.
- Manage project timelines, allocate tasks, and ensure timely delivery.
- Stay updated with new technologies, tools, and industry trends to improve processes and efficiency.
Required Qualifications:
- 5+ years of hands-on Python development experience.
- Strong expertise in Python frameworks such as Django, Flask, or FastAPI.
- Solid understanding of REST APIs, microservices architecture, and asynchronous programming.
- Experience with databases (SQL & NoSQL), ORMs, and query optimization.
- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
- Strong knowledge of unit testing, integration testing, and test automation.
- Excellent problem-solving skills, debugging, and optimization experience.
- Familiarity with agile methodologies (Scrum/Kanban).
- Strong communication and leadership skills, with experience mentoring junior developers.
Nice to Have
- Experience with big data, machine learning, or AI integration in Python.
- Knowledge of messaging systems (Kafka, RabbitMQ, Celery).
- Exposure to DevOps practices and monitoring tools (ELK, Prometheus, Grafana).