Gitforce
Software Engineer - Backend Focus
Skills
4 days ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Onsite
Published on:
17 October 2026
What they need
About the job:
We're hiring a Software Engineer – Backend
to build and ship production backend systems across real client and internal use cases. You'll design APIs and services, build reliable data-backed applications, and own them in production. This is a full-time, work-from-office role in Hyderabad.
About us:
We're a new age tech & business services company, HQ'ed in Hyderabad with clients across the world. Find out more at https://www.linkedin.com/company/gitforce
What You'll Do
TL;DR:
Build and run the backend systems behind real products.
- Design and build backend services and APIs in Python using FastAPI
- Design data models and work with SQL and PostgreSQL
- Build async, scalable services, background jobs, and data pipelines
- Integrate with third-party APIs, databases, and services
- Write well-tested, maintainable code with clear documentation
Qualifications
TL;DR:
Strong backend engineering fundamentals in Python
and
FastAPI
, with production experience.
You Are:
- 2 to 5 years into your professional engineering career
- A strong backend engineer who has built and shipped production services
- Someone who cares about reliable, well-tested production systems
- Comfortable picking up new frameworks and tools quickly
- Someone who enjoys owning a system end to end, not just isolated tickets
Must-haves:
- Strong Python, with production experience building APIs in FastAPI
- Solid SQL and PostgreSQL, including schema design, indexing, and query optimization
- Experience with async programming, Pydantic, and an ORM (SQLAlchemy or similar)
- Good grasp of API design (REST), authentication, software architecture, Git, testing (pytest), and production engineering fundamentals
- Strong problem-solving and communication skills
Nice-to-haves:
- Redis, message queues (Celery, RabbitMQ, Kafka, SQS), or distributed systems
- Docker, CI/CD, and cloud (AWS, GCP, or Azure)
- Observability, logging, and monitoring tools
- Experience integrating LLM APIs or building RAG/AI features
- Some frontend experience (React, Next.js, TypeScript)
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