- Senior level: 5+ years building and shipping production web services, with real depth on the backend end-to-end ownership of features, not just contributing tickets inside a large team.
- Strong Node.js (server-side JavaScript/TypeScript) this is the primary skill we screen on.
- Hands-on experience building backends on AWS serverless (cloud functions plus an API gateway, or equivalent managed cloud services) co-primary with Node.js.
- Solid backend engineering fundamentals: REST/HTTP API design, idempotency and retry patterns, concurrency control, request/schema validation, and structured logging and basic observability.
- Disciplined about quality and delivery: automated testing (unit, integration/contract, and end-to-end), Git, infrastructure as code, and CI/CD as part of how you ship.

What Were Looking For
- Has built and launched real products from start to finish. They can clearly describe what they built, who used it, and what they personally did.
- Uses AI coding tools every day to work faster, and can explain how they use them.
- Learns new things quickly. They can give an example of a tool or skill they picked up recently and used well.
- Works well on their own. They can take an unclear problem and move it forward without waiting for detailed instructions.
- Explains technical things clearly to non-technical people here, engineers work directly with the product team and the sales field.
- Is reliable: follows through without being reminded, raises problems early, and takes responsibility for the result, not just the task.

- Design, build and operate the production serverless backend on AWS cloud functions behind an API gateway, a managed NoSQL data layer, request/schema validation, retry and idempotency handling, and structured logging.




- Build robust backend endpoints that power in-product LLM features recommendation generation, semantic search, and seller-prep flows with structured-output enforcement, concurrency control, and sensible cost and latency guardrails.
- Own backend reliability and observability end to end: define the metrics, alarms, and logs you actually page on, and make the difference between code that works in a demo and a service that runs reliably at scale.
- Manage the backends cloud infrastructure as code and ship it through an automated deploy pipeline, so changes are reviewable, repeatable, and safe to roll back.
- Write and maintain automated tests across the service unit, integration/contract, and automated end-to-end and treat testing, version control, and CI/CD as part of how you ship.
- Contribute across the full stack as features span it, working in the React/TypeScript front end against a shared design system / component library when a feature reaches the client.
- Partner directly with product, design, and the field translating seller feedback into shipped improvements, and explaining technical decisions and trade-offs to non-engineers, not just to other engineers.

The AI Adoption Hub is Infors tool for sales teams to co-create industry AI adoption plans with customers, live in the meeting. Youll own the serverless backend that powers it on a up-to-date AWS stack, with room to work across the full stack. Its a small, fast-moving, AI-first team where you take problems from definition to production with minimal direction.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer, Senior (Hyderabad)
🏢 Infor
📍 Hyderabad