Lead Backend Developer

Job Title: Lead Backend Developer (Python, FastAPI & MongoDB)

Location

:
Bengaluru, India

Company Overview:

Big AIR Lab (

),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
5+ 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

: 5+ years in backend software development.
- Python

: Strong proficiency with object-oriented programming.
- Frameworks

: Hands-on experience with
FastAPI

(preferred), Django.
- Databases

:
- MongoDB

: Experience with schema design, aggregation pipelines, and indexing.
- Familiarity with
SQL

databases (PostgreSQL/MySQL).
- Experience with
Redis

and optionally Supabase.
- API Development

:
- Proficient in building and documenting REST APIs.
- Strong understanding of HTTP, request lifecycles, and API security.
- Testing & Debugging

:
- Strong debugging and troubleshooting skills using logs and tools.
- Performance & Scalability

:
- 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:

• Bachelor's 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