Back End Developer

Job Title : Backend Developer (Python | FastAPI | Kubernetes | Socket.IO)

Location : Bangalore, India

Employment Type : Permanent

Experience :

5+ Years (No Gaps / No Overlapping Tenure)

About the Role

We are seeking a highly skilled

Backend Developer

experienced in building

production-grade, scalable backend systems

that serve

10,000+ concurrent users

• . The ideal candidate has deep expertise in

FastAPI, Python, Socket.IO

, and

Kubernetes

, with a proven track record of designing microservices that perform efficiently at scale.

If you’re passionate about

asynchronous systems

real-time APIs

, and

high-performance backend engineering

, we’d love to meet you.

Key Responsibilities

Design, develop, and maintain

high-performance backend services

using

Python and FastAPI

Build and manage

asynchronous APIs

and

real-time communication systems

using

Socket.IO

and

async.io

Architect and deploy backend services capable of handling

10,000 concurrent users

in production.

Work extensively with

message queues

such as

Celery

RabbitMQ

, or

AWS SQS

for distributed task management.

Implement and optimize

database solutions

PostgreSQL

MongoDB

Databricks

, or

Apache Iceberg

Design scalable

microservices architectures

and ensure efficient service communication and load balancing.

Collaborate with DevOps to understand

Kubernetes scaling

, focusing on

API performance and microservice resilience

within K8s clusters.

Ensure

code quality, testing, and performance optimization

for production-grade deployments.

Participate in

system architecture discussions

code reviews

, and

CI / CD automation

to enhance development velocity.

Must-Have Skills

Backend Development :

Strong hands-on experience in

Python (production grade)

Frameworks : Deep expertise in

FastAPI

Real-time Systems : Experience with

Socket.IO

and

async programming (async.io)

Kubernetes :

In-depth knowledge of

scaling APIs and running microservices

in Kubernetes (not deployment setup).

Queues :

Strong understanding of

Celery

RabbitMQ

, or

AWS SQS

Databases : Experience with

PostgreSQL

MongoDB

Databricks

, and

Apache Iceberg

Scalability :

Proven experience managing

production systems serving 10k+ users

Professional Integrity :

No career gaps or overlapping employment.

Good to Have

Familiarity with

Docker

Redis

, and

CI / CD pipelines

Exposure to

monitoring tools

(Prometheus, Grafana, ELK stack).

Experience with

microservice observability

and

API versioning

Understanding of

distributed systems and fault tolerance