Senior Python Developer

About the role

Devsinc is looking for a Senior Python Engineer with strong backend, API integration and system design skills, able to build scalable, high-performance applications. The role is client-facing and requires direct work with international clients, technical ownership and stakeholder collaboration in a fast-paced services environment. A minimum of 3 years of professional Python backend experience is required.

Key responsibilities

• Design, develop and maintain scalable, secure, high-performance backend applications in Python.
• Build and integrate RESTful APIs, microservices and backend services with Django, Flask or FastAPI.
• Work directly with international clients on requirements, technical discussions, proposals and project updates.
• Translate business needs into scalable, maintainable technical solutions and contribute to system architecture and technical decisions.
• Design and optimise relational and NoSQL databases, and integrate third-party APIs, cloud services and external systems.
• Write clean, reusable, testable code, run code reviews and enforce engineering best practices.
• Troubleshoot issues, optimise performance and mentor junior developers within Agile processes.

Required profile

• Bachelor's degree in Computer Science, Software Engineering or a related field; minimum 3 years of Python backend experience, preferably post-graduation.
• Strong English communication, able to lead technical discussions with international clients.
• Client-facing experience: requirement gathering, stakeholder management and delivery in a services environment.
• Preferred: previous work with US-based or international clients in software services or IT consulting.

Required skills

• Python, OOP, data structures and algorithms.
• Django, Flask or FastAPI, RESTful APIs and microservices.
• Relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB); Redis.
• AWS, Azure or GCP, Git, Docker and CI/CD pipelines.
• Asynchronous programming, background tasks, message queues, unit testing, security and performance tuning.
• Preferred: Celery, RabbitMQ, Kafka, Kubernetes, distributed systems, event-driven architecture, and exposure to Generative AI, LLMs and RAG pipelines.