Full Stack Developer

Full Stack Developers in Goteborg design, build and improve web applications that support real business workflows, including practical AI-enabled features. You own features across frontend, backend and data layers, from requirements clarification through production delivery. Working onsite with product owners, architects, designers and client stakeholders, you combine hands-on engineering with precise specifications, responsible use of AI development tools and validation of business outcomes. This role matters because it drives the creation of robust, user-focused solutions that enhance enterprise operations.

Responsibilities

Understand how users work, clarify requirements with product owners and domain experts, and surface assumptions, dependencies and constraints before implementation

Translate agreed requirements into buildable feature specifications and testable acceptance criteria, covering business rules, data flows, permissions, edge cases and failure scenarios

Design, implement and maintain frontend components, backend services, REST APIs and data models within the agreed architecture; explain technical trade-offs and raise decisions that affect other systems

Use AI coding assistants and agents to support implementation, testing and refactoring. Provide clear context and constraints, review generated changes and remain accountable for their correctness, security and maintainability

Integrate applications with enterprise systems and AI services through APIs, supporting features such as summarization or semantic search with appropriate authentication, data consistency, output validation and fallback behavior

Write automated unit, integration and end-to-end tests. Demonstrate features against agreed business scenarios, incorporate user feedback and make validation gaps visible

Contribute to CI/CD pipelines and deployment automation; support releases, application monitoring and production troubleshooting

Diagnose issues across the stack using logs, traces and test evidence, distinguishing requirement gaps from implementation defects and test failures

Improve existing codebases through focused refactoring, peer reviews and documentation; communicate delivery risks and propose practical improvements within the agreed scope

Requirements

Five years in software development, with frontend and backend experience and independent delivery of production features

Strong proficiency in at least one backend stack, such as C#/.NET, Node.js or Python, with sound knowledge of API design and application architecture

Solid JavaScript/TypeScript skills and practical experience with React, Angular or a comparable framework, including responsive, accessible interfaces and application state management

Experience with SQL and/or NoSQL databases, data modeling, schema changes, query performance and data consistency trade-offs

Practical experience with cloud-hosted applications, preferably Azure, and working knowledge of containerization, CI/CD and infrastructure as code

Strong automated testing, debugging, Git and code review skills, with experience addressing application security, reliability and performance

Practical experience using AI coding assistants or agents, including supplying requirements and repository context, checking generated code, diagnosing failures and following project data-handling rules

Practical exposure to integrating LLM APIs through a project or prototype, with a basic understanding of prompts, output validation, data privacy and usage costs

Ability to clarify business workflows and turn them into implementable requirements and acceptance scenarios, including behavior inferred from existing applications

Clear communication with technical and non-technical stakeholders; willingness to ask questions, challenge unsupported assumptions and escalate risks early

Ownership of feature quality through implementation, deployment and user feedback, with effective collaboration across product and engineering

Nice to have

Experience with retrieval-augmented generation (RAG) or managed cloud AI services, particularly on Azure

Experience with identity and access management, event-driven integrations or enterprise application modernization

Deeper experience with Kubernetes, infrastructure as code or application observability

Experience in automotive or other enterprise environments, and participation in client workshops or user acceptance sessions

We offer/Benefits

EPAM Employee Stock Purchase Plan (ESPP)

Company’s pension plan

Private healthcare insurance

Safety & life insurance

Gym discounts

Wellness Grant (SEK 2000)

Corporate Programs including Employee Referral Program with rewards

Learning and development opportunities including in-house training and coaching, professional certifications, and courses

*All benefits and perks are subject to certain eligibility requirements

Öppen för alla

Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.