Are you ready to help shape the future of AI with agentic, production-ready solutions? Join us in a dynamic environment where your curiosity and DevOps mindset fuel the next generation of GenAI innovation! As a Software / Platform Engineer, you’ll have the opportunity to design, build, release, and maintain cutting-edge applications and platforms, all while collaborating with experienced mentors and making a tangible impact on our technology’s evolution.
What you are going to do
As a Medior Software / Platform Engineer, you will be actively involved in designing, building, releasing, and maintaining our cutting-edge GenAI platform that leverages agentic capabilities. Operating in a DevOps environment, you’ll take ownership of your work end-to-end—from concept and architecture through production deployment and ongoing support. Your skills in Python, microservices or SOA, and SOLID principles will help our team create robust, scalable, and secure solutions that push the boundaries of AI innovation, while your platform engineering expertise in Azure, Terraform, CI/CD, and networking will be vital in ensuring the platform's reliability and performance.
In this role, you’ll collaborate with cross-functional teams, including Software Engineering, Data Science, and Platform Engineering, ensuring our solutions evolve to meet the dynamic needs of both internal and external stakeholders. You will also learn from and work alongside senior team members, adopting best practices to develop and maintain high-quality AI-driven applications and platform infrastructures under an Agile framework.
Key Responsibilities:
Contribute to the end-to-end design and implementation of our agentic, production-ready GenAI platform, bringing innovative ideas from concept to deployment
Design and maintain service-based solutions (microservices or SOA) in Python, applying SOLID principles to ensure clean, maintainable, and extensible code
Develop and maintain CI/CD pipelines using tools like Azure DevOps or GitHub Actions, ensuring rapid, reliable releases and leveraging observability to gain real-time insights into system performance
Implement and manage Infrastructure-as-Code (IaC) using Terraform or ARM templates to ensure consistent, secure, and efficient cloud resource provisioning on Azure
Engage in Agile ceremonies and collaborate with cross-functional teams to iterate quickly, deliver impactful features, and continuously improve development practices
Share and implement secure, scalable, and cost-efficient best practices across the platform, ensuring reliability and resilience
Participate in code reviews, learning from experienced engineers and contributing to a collaborative environment that promotes knowledge-sharing
Assist in troubleshooting, optimizing, and refining system performance through observability tools and dashboards to ensure a seamless user experience
Stay informed of emerging technologies and industry trends, proposing enhancements to our GenAI product roadmap and platform capabilities
What we offer you
NN invests in an inclusive, inspiring work environment and in skills and competencies for the future. We match this with employee benefits that are in line with what is needed today and in the future. This way, we offer our employees the opportunity to get the best out of themselves. We offer you:
Salary between €4827 and €6895 depending on your knowledge and experience based on a 36-hour workweek
13th month and holiday allowance paid with your monthly salary
27 vacation days for a 5-day working week and one Diversity Day
A modern pension administered by BeFrank
Plenty of training and learning opportunities
NS Business Card 2nd class, which gives you unlimited travel, also privately. Prefer to travel with your own transport? You can declare the kilometers traveled
Allowances for setting up your home office and for internet use
Who you are
You are a proactive, self-driven engineer with a passion for technology, mentorship, and collaboration. You continuously build upon your expertise to drive innovation and elevate team performance. Your personal qualities and skills include:
4–6 years of professional software engineering experience, including 2–3 years building production back-end services in Python and familiarity with at least one other language (Go, Java, TypeScript, etc.)
Hands-on experience developing and maintaining microservices / SOA back-ends (REST, gRPC, or event-driven), supporting moderate traffic and uptime requirements
Practical exposure to GenAI or large-language-model features (e.g., calling Azure OpenAI APIs, basic prompt design, integrating vector stores) and enthusiasm to deepen this expertise
Working knowledge of key Microsoft Azure services—Blob Storage, Azure Container Registry, Functions, AKS, and Virtual Machines; prior use of AI Foundry or Azure OpenAI is a plus
Comfortable containerizing applications and deploying them to Kubernetes (AKS/EKS/GKE) or Docker-based environments; able to create or modify Helm charts / manifest files
Capable of reading and updating Infrastructure-as-Code templates (Terraform or Bicep/ARM) and applying basic policy guidelines to keep cloud environments consistent and secure
Experience configuring CI/CD workflows with YAML-based pipelines (e.g. GitHub Actions, Azure DevOps or GitLab CI), including automated testing and simple security scans
Familiarity with observability practices—instrumenting metrics, logs, or traces and using tools such as Prometheus/Grafana, Datadog, or Azure Monitor to diagnose issues
Proficient with at least one SQL and one NoSQL datastore (e.g., PostgreSQL, MySQL, Cosmos DB, MongoDB) and understanding of message queues or pub/sub systems (Kafka, Event Hub, SQS)
Knowledge of secure coding and cloud-security basics (secret management, least-privilege IAM, OWASP)
Applies SOLID and clean-code principles, participates actively in code reviews, and collaborates well with teammates to deliver high-quality features
Able to prioritize work and communicate effectively with stakeholders
Who you will work with
You will closely collaborate with data scientists, software, and machine learning professionals. With great enthusiasm and dedication, we are working on the optimization and innovation of our customer service, processes, and their quality. In addition, you are a member of the NN Engineering guild, with more than 1000+ engineers that meet each other, will help you to grow and love to share knowledge and best practices with each other. We work in an agile manner and have flexible work from home/office terms. You will be part of a diverse and collaborative team that values innovation and knowledge sharing. Our team culture emphasizes support, inclusivity, and professional development with open communication channels.
Any questions?
If you have any questions about the job, you can reach out via phone or WhatsApp to Maxime Bos, IT Manager, at +31651097592.
Bij NN geloven we dat onze kracht ligt in het omarmen van de volledige diversiteit van de mensheid. We erkennen en waarderen ieders uniciteit en bijdrage, wat ons in staat stelt om te groeien: als individu, als team en als organisatie.
Diversiteit, Gelijkheid en Inclusie zijn verankerd in onze cultuur, die wordt geleid door onze kernwaarden: care, clear en commit. Deze waarden helpen ons om een werkomgeving te creëren waarin iedereen zich welkom, gerespecteerd en trots voelt om deel van uit te maken.
Jouw CV en motivatie worden door de Talent Acquisition Specialist en manager bekeken. Je ontvangt een reactie binnen twee weken.
2 Interview(s) en online assessment
We streven ernaar binnen een week het eerste gesprek in te plannen. Voorafgaand aan je tweede gesprek vragen we je een online assessment te maken.
3 Aanbod
Zijn we een match? Dan ontvang je van ons direct een aanbieding. De Talent Acquisition Specialist loopt samen met jou het aanbod door.
4 Welkom bij NN
Aanbieding geaccepteerd? Gefeliciteerd! Om alles ook administratief goed te regelen starten we de pre-employment screening en sturen we jouw arbeidsovereenkomst toe.