Lead Backend Developer

Description :

Location : Bengaluru, India

Company Overview :

Big AIR Lab (https ), operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

Position Summary :

We are looking for a Lead Backend Developer with 4 years of professional experience in Python-based development, especially using FastAPI and MongoDB. The ideal candidate is skilled in building and maintaining scalable, high-performance back-end services and APIs, has strong understanding of modern database design (SQL & NoSQL), and has experience integrating backend services with cloud platforms.

Experience or interest in AI/ML projects is a strong plus, as our products often interface with LLMs and real-time AI pipelines.

Key Responsibilities :

- Design, build, and maintain robust backend services using Python and FastAPI.

- Develop and maintain scalable RESTful APIs for internal tools and third-party integrations.

- Work with MongoDB, PostgreSQL, and Redis to manage structured and unstructured data efficiently.

- Collaborate with frontend, DevOps, and AI/ML teams to deliver secure and performant backend infrastructure.

- Implement best practices in code architecture, performance optimization, logging, and monitoring.

- Ensure APIs and systems are production-ready, fault-tolerant, and scalable.

- Handle API versioning, documentation (Swagger/OpenAPI), and error management.

- Optimize queries, indexes, and DB schema for high-performance data access.

- Maintain clean code with emphasis on object-oriented principles and modular design.

- Troubleshoot production issues and deliver timely fixes and improvements.

Qualifications :

- Overall Experience : 4 years in backend software development.

- Python : Strong proficiency with object-oriented programming.

- Frameworks : Hands-on experience with FastAPI (preferred), Django.

- Databases :

1. MongoDB : Experience with schema design, aggregation pipelines, and indexing.

2. Familiarity with SQL databases (PostgreSQL/MySQL).

3. Experience with Redis and optionally Supabase.

- API Development :

1. Proficient in building and documenting REST APIs.

2. Strong understanding of HTTP, request lifecycles, and API security.

- Testing & Debugging :

1. Strong debugging and troubleshooting skills using logs and tools.

- Performance & Scalability :

1. Experience optimizing backend systems for latency, throughput, and reliability.

- Tools : Git, Docker, Linux commands for development environments.

Must-Have Skills :

- Proficiency in Python and object-oriented programming

- Strong hands-on experience with FastAPI (or similar async frameworks)

- Knowledge of MongoDB for schema-less data storage and complex queries

- Experience building and managing REST APIs in production

- Comfortable working with Redis, PostgreSQL, or other data stores

- Experience with Dockerized environments and Git workflows

- Solid grasp of backend architecture, asynchronous programming, and performance tuning

- Ability to write clean, testable, and maintainable code

Good-to-Have Skills :

- Experience with asynchronous programming using async/await

- Integration with third-party APIs (e.g., Firebase, GCP, Azure services)

- Basic understanding of WebSocket and real-time backend patterns

- Exposure to AI/ML pipelines, model APIs, or vector DBs (e.g., FAISS)

- Basic DevOps exposure : GitHub Actions, Docker Compose, Nginx

- Familiarity with JWT, OAuth2, and backend security practices

- Familiarity with CI/CD pipelines and versioning

- Basic understanding of GraphQL or gRPC is a plus

Preferred Qualifications :

- Bachelors degree in Computer Science, Engineering, or a related field

- Demonstrated experience delivering production-grade backend services

- Experience working in agile teams and using tools like Jira

- Familiarity with Agile/Scrum methodologies and sprint cycles

- Interest or experience in AI/ML-integrated systems is a plus

Perks & Benefits :

- Competitive salary with performance-based bonuses

- Opportunity to work on AI-integrated platforms and intelligent products

- Access to latest tools, cloud platforms, and learning resources

- Flexible working hours and hybrid work options

- Wellness initiatives and team-building activities