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

• 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