Software Engineer(Python AWS Serverless)

Software Engineer (Python · AWS Serverless)

Location: Bangalore, India — Full-time, In-Person

Experience: 3–5 years

Team: Health-Tech Platform Engineering

About the role

InsScrub is an AI-enabled, production health-tech platform for automating revenue cycle management. Behind it is a Python-first, serverless backend running on AWS, processing high volumes of sensitive healthcare data every day with the reliability and compliance that domain demands.

We are looking for a Software Engineer with deep, hands-on experience building and operating serverless architectures on AWS, which is the primary requirement for this role. You should be fluent with AWS serverless, comfortable designing well-structured relational schemas, and experienced in owning serverless services in production. You will design and ship features end-to-end, from API contract to database to deployment pipeline, and contribute to the agentic and LLM-powered capabilities we are building into the platform.

This is a hands-on engineering role with real ownership. You will not be ramping up on Python or AWS here — you’ll be applying hard-won experience from day one, and helping raise the bar for everyone around you.

This is a full-time, in-office position based in Bangalore. It is not remote or hybrid. Please apply only if you are able to work on-site.

Before you apply — please read

· This is a Python role. Our backend is Python end-to-end. We do not build on Java/Spring, .NET, or PHP. If your professional backend experience is primarily in those stacks and Python is only a listed skill, this role will not be a fit — and that’s okay, we’d rather be upfront than waste your time.

· This is a backend- and data-heavy role. Frontend work (React/Next.js) is a welcome bonus, but the core of the job is APIs, data, and cloud infrastructure.

· We screen for demonstrated, production AWS serverless experience — not certifications or coursework. Tell us what you’ve actually shipped and run.

What you’ll do

· Design and build serverless backends in Python. Architect and implement scalable services using FastAPI and AWS Lambda, from API contract through business logic to data persistence.

· Own services in production. Take features end-to-end — API → queue → worker → database — and stand behind them: CI/CD, observability, alerting, and the on-call that comes with running real systems.

· Model data that holds up. Design relational schemas, write and tune SQL, manage migrations, and keep query performance healthy on PostgreSQL / RDS as data volumes grow.

· Build agentic and LLM-powered features. Help design and ship the AI capabilities at the center of our roadmap — orchestration, tool-calling, retrieval, and prompt engineering against modern LLMs.

· Architect for scale and cost. Make deliberate trade-offs around performance, scalability, and cost-efficiency in a serverless AWS environment.

· Treat infrastructure as code. Provision and evolve cloud infrastructure with Terraform, keeping environments reproducible and reviewable.

· Raise the engineering bar. Write clean, modular, well-tested code; review pull requests thoughtfully; document decisions; and mentor less-experienced engineers.

· Collaborate across functions. Work directly with product, design, and other engineers to shape requirements, and communicate technical work clearly — including in demos to internal and external stakeholders.

· Engage directly with clients. This is a client-facing role. You’ll join client conversations, present technical work and product capabilities in demos, gather and clarify requirements first-hand, and represent the team in calls, reviews, and occasionally conferences.

Minimum qualifications

· 3–5 years of professional software engineering experience, with the majority of that time writing Python.

· Proven experience designing and operating production REST APIs with FastAPI (or an equivalent Python framework).

· Hands-on, production AWS serverless experience that you have personally deployed and maintained — Lambda, API Gateway, SQS, S3, and RDS at minimum.

· Strong relational database skills: data modeling, schema design, query optimization, and migrations — PostgreSQL preferred.

· Infrastructure as code in a real project — Terraform (or CloudFormation / AWS CDK).

· Day-to-day Git/GitHub proficiency: branching strategy, pull-request review, and CI…