> Markdown version of [/jobs/ext/4494964-ai-native-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/4494964-ai-native-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Native Full Stack Engineer

- **Company:** Gapstars
- **Location:** ALMERE, Netherlands
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, App Store (IOS), Mobile Application Development, Cloud Database, Code Review, Software Debugging, DevOps, Identity and Access Management, Mobile Application Software, Key Management, PostgreSQL, E2e Testing, Data Logging, Google Cloud, AI Coding Agents, Build Server, Kubernetes, Code Restructuring
- **Published:** November 2, 2026
- **Apply:** https://gapstars.net/tech/career-listings/job-1713/

## About the Role

This is a hands-on senior engineering role requiring strong production GCP experience, practical Kubernetes knowledge, DevOps exposure and mobile development experience. Personal ownership of at least one successful Apple App Store release is essential. You will use AI-assisted development throughout your workflow while retaining full responsibility for architecture, code quality, security, testing and production outcomes.

## Description

We are looking for an experienced full stack engineer to take independent ownership of complex features across Gapstars products. You will strengthen its web applications, backend services and cloud operations, and help deliver a mobile application planned for release in 2027., AI Native Full Stack Engineer, Full stack development and engineering ownership

 * Own work from problem clarification and technical design through implementation, automated testing, deployment and production follow-up.
 * Build and maintain applications using TypeScript, React, Next.js and Node.js, with secure APIs and third-party integrations.
 * Understand and safely extend an existing codebase, diagnosing unfamiliar behaviour and preventing regressions.
 * Turn incomplete requirements into practical technical options, manageable delivery increments and testable acceptance criteria.
 * Design PostgreSQL schemas, transactions, migrations and queries with attention to integrity, compatibility, performance and recovery; work with an ORM such as Prisma.
 * Review code, document important decisions, support other engineers and communicate trade-offs clearly.

GCP, Kubernetes and DevOps

 * Deploy, operate and troubleshoot production workloads on GCP, including services relevant to COSMOS such as Cloud Run, Cloud SQL, Cloud Build, IAM, networking, secrets management, logging and monitoring.
 * Work confidently with Docker and Kubernetes deployments, services, configuration, health checks, resource management and troubleshooting.
 * Maintain CI/CD pipelines, separate development and production environments, and support safe releases, validation and rollback.
 * Improve observability, investigate incidents and address root causes, balancing reliability, security and cost.
 * Apply appropriate deployment architecture to the workload and explain when managed services or Kubernetes are justified

Mobile development and release ownership

 * Contribute to the architecture and implementation of the COSMOS mobile application using a production mobile framework.
 * Develop secure mobile authentication, API integration, local storage and device-specific behavior, with attention to stability and performance.
 * Own release activities covering build configuration, signing, device testing, beta distribution, store submission, review feedback and subsequent updates.
 * Coordinate with product and QA to prepare the application for release and monitor issues after launch.

AI-native engineering

 * Use AI coding assistants and agents regularly for implementation, debugging, refactoring, testing and documentation.
 * Direct AI tools with clear context, constraints and manageable tasks. Independently review, explain and validate generated code; identify and correct misleading, insecure or unsuitable output.
 * Demonstrate where AI improved delivery and where engineering judgment was needed to correct or reject its output.
 * Protect company code, credentials and sensitive information when using AI tools.

Quality, communication and delivery.

 * Own the quality of delivered work through appropriate unit, integration and end-to-end tests, working closely with QA.
 * Communicate estimates, assumptions, dependencies and uncertainty clearly; raise risks early with practical alternatives.
 * Validate complete user journeys and release readiness, including error handling and access controls.
 * Maintain useful technical documentation and proactively communicate progress, blockers and production issues.