Location: Hyderabad | Open to exceptional remote candidates in India
Type: Full-time
Experience: 35 years
Company
Superclaims The AI-native engine that will process >10,000 Cr of health insurance claims in the next 3 years. Backed by top-tier healthcare & tech founders. Already live with 2 large clients, 500+ claims/month and growing 10 in the next 12 months.
About the Role
We are looking for a battle-tested Python/FastAPI engineer who has built and scaled backend systems that serve millions of requests and process billions of rupees in transactional value.
You will be the backbone of our product the person who turns our current (already solid) FastAPI + PostgreSQL + LangGraph stack into a bulletproof, hyper-scalable claims adjudication platform that can handle 100,000+ claims per day without blinking.
This is a player-coach role: 70% hands-on coding & architecture, 30% tech leadership and mentoring.
What You'll Own
- End-to-end backend architecture evolution (FastAPI, SQLAlchemy, PostgreSQL, Redis, Celery, LangGraph)
- Horizontal scaling strategy async everything, connection pooling, read replicas, sharding prep, queue design
- Performance & reliability p99 < 500ms even at 10 current load, zero-downtime deploys, graceful degradation
- Lead the backend team (currently 2 engineers 68 in 12 months) code reviews, architecture decisions, 1:1s
- API design that developers love and that can evolve for the next 5 years
- Observability & alerting structured logging, OpenTelemetry, Grafana dashboards you actually look at
- Security & compliance OWASP, rate limiting, JWT + session management, HIPAA-ready patterns
- Infrastructure-as-code & deployment excellence (Docker, Terraform/K8s exposure big plus)
- Tech debt payback & refactoring sprints we ship fast, but we don't want to drown
Must-Have
- 3+ years building production Python backends, 1+ years exclusively on FastAPI
- Proven experience taking a system from <1k req/day 100k+ req/day (show us the war stories!)
- Deep knowledge of PostgreSQL at scale (indexing, partitioning, connection pooling, pgBouncer)
- Async Python mastery (asyncio, anyio, starlette internals)
- Distributed systems thinking eventual consistency, saga pattern, outbox, CQRS exposure
- Led or mentored at least 35 engineers in previous roles
- Startup DNA you've shipped v1 products under tight deadlines and then hardened them for scale
Big Bonus Points
- Previous healthtech / fintech / insurtech experience
- LangGraph / LangChain contribution or production use
- Kubernetes & Helm in production
- Event-driven architecture (Kafka, Nats, or even Redis Streams)
- Open-source contributions or tech blog
Why Join Us
- You will literally own the core engine of a company that will become the Razorpay of health insurance claims
- Direct founder access ship multiple times a day, no layers
- ESOPs that can 50100 in 45 years
- Latest tools, unlimited cloud credits.
- Small, high-talent team no bureaucracy, no politics, just building
Compensation
Best-in-industry salary + generous equity (0.52% range) + full family health coverage
If you get excited reading FastAPI GitHub issues at 2 AM, have war stories about bringing p99 latency down from 8s to 300ms, and want to build the backend that will process 80% of India's health claims this is your once-in-a-career role.
Apply by sending your rsum + a short note (or link) about the toughest scaling problem you've solved to [Confidential Information] with subject Lead Backend Engineer [Your Name]
(No recruiters please we read every application ourselves)
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