Senior Distributed Systems Developer

About the Role

Adalat AI is re-architecting India's courts with an end-to-end justice tech stack.

Our technology accelerates justice, similar to how UPI accelerated payments.

We're looking for a Lead Backend Engineer to own the core services that power real-time courtroom transcription, ML pipelines and secure document workflows. You'll work side-by-side with our founders, ship fast, and set engineering standards for a stack that must scale to 10,000+ courtrooms, eight hours a day.

What You'll Do

Design, build and operate Golang micro-services, event-driven workflows and serverless functions. Model complex legal data and build APIs consumed by web, mobile and ML teams. Create cost-efficient, horizontally scalable systems that survive patchy bandwidth and high concurrency. Partner with ML researchers to productionise ASR, semantic-search and feedback-loop pipelines. Champion observability, CI/CD and zero-downtime deploys. Mentor engineers and pitch PoCs for the next big product bets.

Our Tech Stack

Golang · GCP · EventBridge/Kafka · PostgreSQL & DynamoDB · Kubernetes & Helm · Docker · GitHub Actions · GraphQL Prometheus/NewRelic

You're Probably a Fit If You Have

5–8 years of experience building distributed systems in production. Speak fluent Go (or similar) and know your way around queues, caches and sharded DBs. Have shipped on Kubernetes, automated with CI/CD and debugged with proper metrics + traces. Care about clean domain models, security, and the craft of writing maintainable code. Bonus: GraphQL, full-text search, streaming pipelines, encryption at rest/in-transit

In Your First Year You'll Roll Out

A backend that supports 10,000+ courtrooms running 8–10 hours daily. Stand up ML infra for voice-first editing, semantic search and continuous model retraining. Help courts create, manage and share highly-classified legal documents at national scale.

Perks

Remote-first, flexible hours & unlimited PTO. Generous maternity/paternity leave. Autonomy, ownership and a no-ego team of builders. Direct access to Harvard/MIT/Oxford networks & L&D stipends