Senior Python Backend Engineer

Tekskills; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Tekskills in Bengaluru, India, seeks a Senior Backend Engineer to own design and implementation of high-performance services using Python, FastAPI, and MongoDB. You will debug complex issues, architect scalable backend systems, and mentor teammates.

The role emphasizes building robust APIs, optimizing performance, and integrating AI-driven tooling to accelerate development. Collaboration with product, design, QA, and DevOps is essential for reliable deployments.

Qualifications

• 8+ years of backend engineering experience.
• Proficiency in Python and FastAPI.
• Hands-on experience with MongoDB.
• Excellent debugging and problem-solving skills.
• Strong understanding of backend design patterns, concurrency and API security.
• Experience designing scalable infrastructure.
• Familiarity with cloud platforms (AWS/Azure/GCP)、Docker and CI/CD.

Responsibilities

• Design, build, and maintain high-performance backend services using Python and FastAPI.
• Architect scalable, secure backend systems and microservices.
• Develop RESTful APIs and integrate with frontend and third-party services.
• Lead end-to-end system architecture including infrastructure and deployment pipelines.
• Work with MongoDB including schema design, indexing, aggregation, and performance tuning.
• Optimize queries and data models for scalability and throughput.
• Debug production issues, analyze root causes, and deploy robust fixes.
• Mentor junior developers and contribute to engineering best practices.
• Collaborate with DevOps for deployment and monitoring.

Skills

Python

FastAPI

MongoDB

Debugging

Backend architecture

Cloud platforms

Docker

CI/CD

Documentation

AI tools

Tools

Docker

AWS

Azure

GCP

CI/CD tooling

Prometheus

Grafana

Job description

Job Summary

Senior Backend Engineer with deep expertise in Python, FastAPI, and MongoDB. The ideal candidate is strong in debugging, core backend problem solving, architecting scalable systems, and leveraging AI-driven approaches to enhance development and design workflows. You will play a key role in designing backend infrastructure, building robust APIs, improving system performance, and mentoring teams through technical challenges.

Responsibilities

• Design, build, and maintain high-performance backend services using Python and FastAPI.
• Architect scalable, secure, and maintainable backend systems and microservices.
• Develop RESTful APIs and ensure seamless integration with frontend and third-party services.
• Lead the design of end-to-end system architecture, including infrastructure and deployment pipelines.
• Work extensively with MongoDB including schema design, indexing, aggregation pipelines, and performance tuning.
• Optimize queries and data models for scalable, high-throughput applications.
• Debug complex production issues, perform root-cause analysis, and deliver robust fixes.
• Identify systemic issues and propose long-term solutions.
• Create detailed use cases, troubleshoot technical debt, and improve existing codebases.
• Leverage AI tools to accelerate development workflows (e.g., debugging, architecture suggestions, documentation).
• Explore opportunities to integrate AI into backend systems and automation tasks.
• Contribute to infrastructure planning: cloud services, containerization, CI/CD pipelines.
• Collaborate with DevOps to ensure smooth deployment and monitoring.
• Work closely with cross-functional teams (product, design, QA).
• Mentor junior developers and contribute to engineering best practices.
• Participate in code reviews and architecture discussions.

Required Skills

• 8+ years of backend engineering experience.
• Strong proficiency in Python and frameworks such as FastAPI (mandatory).
• Hands-on experience with MongoDB (mandatory).
• Excellent debugging, code-analysis, and problem-solving skills.
• Strong understanding of backend design patterns, multithreading, concurrency, and API security.
• Experience designing scalable infrastructure.
• Familiarity with cloud platforms (AWS/Azure/GCP), Docker, CI/CD (preferred).
• Ability to create clear technical documentation and use-case diagrams.
• Ability to leverage AI tools to improve development efficiency.

Good to Have

• Experience with microservices architecture.
• Knowledge of asynchronous programming.
• Exposure to distributed systems, message queues (Kafka/RabbitMQ).
• Experience with monitoring tools (Prometheus, Grafana, ELK).