GURUGRAM · FULLTIME
Full Stack Engineer
StarZen
Gurugram · onsite · Posted 16d ago
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Section · 01
About this role
JOB OVERVIEW
JOB TITLE Full-Stack Engineer
LOCATION Offshore
ENGAGEMENT TYPE Multiple concurrent enterprise engagements across healthcare, public-sector and AI/cloud platforms
GENERAL JOB DESCRIPTION Hybrid Full-Stack Engineer fluent in React (or Angular) on the front-end, and Java/Spring Boot, .NET (C#, ASP.NET Core), Python (FastAPI) and Node.js on the back-end. Builds responsive bilingual portals, RESTful and GraphQL services, and modern AI-native interfaces (chat UIs, RAG consoles, agent dashboards) on containerised cloud-native infrastructure.
DUTIES & RESPONSIBILITIES
- Design and develop frontend components in React (or Angular) with bilingual EN/AR + RTL support.
- Build backend services in Java (Spring Boot), .NET (C#, ASP.NET Core), Python (FastAPI) or Node.js.
- Develop REST and GraphQL APIs; integrate with HL7/Mirth, event-driven backbones (Kafka / Event Hubs) and LLM/RAG backends.
- Build AI consumption UIs: chat, RAG search, agent dashboards, prompt builders.
- Write unit and integration tests (Jest, JUnit, xUnit, PyTest); participate in code reviews.
- Containerise services (Docker) and deploy on Kubernetes (Helm); contribute to CI/CD pipelines.
- Collaborate with the UX/UI Designer on responsive, accessible UI.
- Investigate and fix defects raised by Level-2/Level-3 support.
SKILLS & ABILITIES
- Strong React (or Angular) with TypeScript.
- Java/Spring Boot and .NET (C#, ASP.NET Core) proficiency.
- Working command of Python (FastAPI) and Node.js.
- REST and GraphQL API design.
- MS SQL Server and PostgreSQL.
- Docker, Kubernetes and Helm.
- Familiarity with LLM frameworks: LangChain, LlamaIndex, OpenAI API, vLLM.
- Testing discipline (Jest, JUnit, xUnit, PyTest).
- Git, Azure DevOps / GitHub Actions.
POTENTIAL BACKGROUND
- Bachelor's in CS / Engineering.
- 5+ years full-stack experience.
- Demonstrable cross-stack delivery history.
- Exposure to GenAI / LLM-powered UI is a strong plus.
PREFERRED TOOLS / SOFT SKILLS Preferred tools:
- React / Angular, TypeScript
- Java (Spring Boot), .NET (C#, ASP.NET Core)
- Python (FastAPI) or Node.js
- MS SQL Server, PostgreSQL
- Docker, Kubernetes, Helm
- LangChain, LlamaIndex, OpenAI API, vLLM
- Git, Azure DevOps / GitHub Actions
- Jest, JUnit, xUnit, PyTest
Soft skills:
- Pragmatic engineer
- Quality-first mindset
- Collaborative with designers and SMEs
- Hands-on problem solver
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Section · 02