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.