Python Software Developer

Tekskills Inc.; Delhi; On-site; INR 4,000,000 - 6,500,000; Full time

Benefits offered by this job

Health insurance

Professional development

Job summary

Tekskills Inc. is seeking a Senior Backend Engineer with deep expertise in Python, FastAPI, and MongoDB to design scalable backend infrastructure and robust APIs. You will debug complex issues, architect systems, and lead efforts to integrate AI‑driven improvements in development workflows.

You will mentor teams, participate in code reviews, and collaborate with product, design, QA, and DevOps to ensure efficient deployment and high reliability.

Qualifications

• 8+ years of backend engineering experience.
• Strong proficiency in Python and FastAPI.
• Hands-on experience with MongoDB.
• Experience designing scalable infrastructure and APIs.
• Familiarity with cloud platforms, Docker, and CI/CD.

Responsibilities

• Backend development and architecture design for high‑performance services.
• Develop RESTful APIs and ensure secure, scalable integration with frontend and third parties.
• Lead end‑to‑end system architecture including deployment pipelines.
• Optimize queries, data models, and performance for MongoDB.
• Mentor junior developers and participate in code reviews.
• Collaborate with product/design/QA and contribute to engineering best practices.
• Leverage AI tools to accelerate development workflows and automation.

Skills

Python

FastAPI

MongoDB

API design

Cloud platforms

Docker

CI/CD

Debugging

System architecture

Leadership

Tools

AWS

Azure

GCP

Job description

Job Summary

We are looking for a highly skilled 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

• Backend Development & Architecture 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.
• Database & Storage Work extensively with MongoDB including schema design, indexing, aggregation pipelines, and performance tuning.
• Optimize queries and data models for scalable, high-throughput applications.
• Debugging & Problem Solving 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.
• AI & Productivity Enhancement Leverage AI tools to accelerate development workflows (e.g., debugging, architecture suggestions, documentation).
• Explore opportunities to integrate AI into backend systems and automation tasks.
• Infra & DevOps Collaboration Contribute to infrastructure planning: cloud services, containerization, CI/CD pipelines.
• Collaborate with DevOps to ensure smooth deployment and monitoring.
• Collaboration & Leadership 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.