Full-Stack Engineer
Summary
Full-stack engineer at GeekSoft Consulting (Eindhoven, Netherlands) who designs, builds, and operates end-to-end applications for a client's online data platform — spanning frontend delivery, backend APIs, Azure cloud infrastructure, and automated CI/CD. Core stack includes Node.js/Java/.NET/Go, Docker/Kubernetes (AKS), Terraform, and Azure DevOps.
Fixed Term Employment | GeekSoft Consulting | Netherlands
Posted On 01.09.2026
Job Information
Technology
Work Experience 5+ years
State/Province Noord-Brabant
City Eindhoven
5611
Job Description
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
Requirements
- Design, build, and operate end-to-end applications for a modern data platform. This role spans responsive frontend interface delivery, production-grade backend service engineering, containerized cloud infrastructure management, and automated CI/CD release engineering.
- Build production-grade backend services and high-performance RESTful and event-driven APIs using Node.js, Java/Spring Boot, .NET/C#, or Go.
- Design and maintain Azure cloud infrastructure, managing containerized workloads using Docker, Azure Kubernetes Service (AKS), Helm charts, and infrastructure-as-code via Terraform Cloud.
- Implement enterprise security standards, including Entra ID integration, OAuth2/OIDC protocols, and granular Role-Based Access Control (RBAC).Author Azure DevOps YAML CI/CD pipelines, lead Git branching and release strategies, and drive automated deployment workflows.Drive platform monitoring, operational reliability, comprehensive system documentation, and ongoing security hardening.
- Proficiency in frontend web technologies, at least one major backend ecosystem (Node.js, Java, .NET, or Go), container orchestrators (Kubernetes/AKS), and Azure cloud services.
- Exposure to Python, Scala, Agentic AI architectures, or Microsoft data platforms (Microsoft Fabric, Databricks, or Azure Synapse Analytics).
- A challenging, innovating environment.
- Opportunities for learning where needed.