Python Architect

Job Summary

We are looking for an experienced Python Lead / Python Architect to join our engineering team. You will be responsible for designing scalable backend architectures, leading a team of developers, and driving high-level technical decisions. This role involves both hands-on coding and architectural leadership, ensuring robust design and maintainability of our Python-based systems.

Key Responsibilities

• Lead the design and development of scalable backend systems using Python.

• Architect microservices-based solutions that are maintainable, testable, and performant.

• Collaborate with stakeholders to define technical requirements and translate them into system design.

• Lead and mentor a team of Python developers, conducting code reviews and promoting engineering best practices.

• Ensure high performance and responsiveness of applications.

• Work closely with DevOps to ensure smooth deployment and monitoring of services.

• Evaluate and recommend tools, technologies, and processes to ensure the highest quality product.

• Troubleshoot production issues and drive root cause analysis and permanent fixes.

Required Skills and Qualifications

• 8+ Professional experience with Python, with strong fundamentals in OOP, concurrency, and design patterns.

• Hands-on experience with web frameworks like Django, Flask, or FastAPI.

• Solid experience in microservices architecture, RESTful APIs, and messaging systems (e.g. Kafka, RabbitMQ).

• Strong understanding of database design both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).

• Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).

• Good understanding of CI/CD pipelines and DevOps principles.

• Experience in code versioning tools like Git and collaborative tools like Jira, Confluence.

• Strong problem-solving, debugging, and performance optimization skills.

• Excellent communication and leadership skills.

Preferred Qualifications

• Experience working in Agile/Scrum environments.

• Familiarity with GraphQL, gRPC, or event-driven architecture.

• Exposure to data engineering, AI/ML pipelines, or big data tools is a plus.

• Contributions to open-source Python projects or technical blog writing.