Software Engineer I (Full Stack)
PUMA SE (company site, opens in a new tab)2–4 yrsPuneOn-siteDirect career pageEst. 8–16 LPA
Posted 1d ago
Reach people at PUMA SE
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at PUMA SE you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and maintain consumer-facing and business-critical web applications, owning React/TypeScript interfaces and contributing to Java/Spring Boot services and APIs.
- Connect interfaces to backend and third-party services; contribute to reusable UI components, design systems, security, testing, performance, and incident resolution.
- Deliver scalable solutions with product and engineering partners, using cloud-native platforms, CI/CD, and AI-assisted development practices.
Minimum Requirements
- Work Experience Required: 2–4 years building modern web applications and full-stack software solutions.
- Strong proficiency in React, TypeScript, JavaScript, HTML5, and CSS3, including component-based development and responsive interfaces.
- Working knowledge of backend development and API development using Java and Spring Boot; experience integrating frontend applications with REST APIs.
- Experience building AI-powered or conversational user experiences using an agentic application framework such as Vercel AI SDK, LangChain/LangGraph, OpenAI SDK, or similar.
Ideal Candidate Profile
- Frontend-strong full-stack engineer who can deliver usable, responsive interfaces and also contribute to Java-based backend services.
- Candidate with hands-on experience applying conversational AI or agentic patterns—such as tool calling, streaming, human-in-the-loop workflows, or RAG—in web applications.
- Likely to fit product-oriented engineering work involving cross-functional delivery, application performance, debugging, and continuous release practices.