You’ll learn the rest from us. You’ll build software that actually helps people stay on track.
| ROLE Full-stack — or on the way there | SCOPE 32–40 hours | LOCATION Zeist / hybrid |
About Pegamento and this role
Pegamento develops and manages digital workplaces and customer engagement solutions for organizations where accessibility is not just a side issue. Our applications, portals, and platforms support healthcare institutions, municipalities, educational organizations, industry, and helplines, among others. If our software goes down, people won’t be able to properly reach their municipality, primary care physician, or care provider.
You will therefore be working in complex client environments with high standards for privacy, security, performance, and continuity. We build on our own infrastructure and make decisions that must remain viable for years to come. To that end, we’re looking for an engineer with experience in production software, the ability to exercise professional judgment, and a willingness to take responsibility for the results.
The Core of the Role
You’ll take independent ownership of a portion of our system landscape. You’ll think before you build, provide clear justification for technical decisions, and ensure that quality isn’t left to chance. In addition to code, you’ll also deliver clarity, rationale, and a solution that colleagues can understand, manage, and further develop.
What you’ll help build
You’ll work with Python and React. You’ll start on the side where you’re strongest and grow toward the other. You’ll join a team that:
- trains its own neural networks on our on-premises GPU infrastructure;
- deploys private LLMs and open-weight models, both in the data center and on-device;
- integrates SIP and other real-time communication protocols;
- builds multisite platforms that support thousands of users.
We use AI tools such as Cursor and Claude Code on a daily basis. You use these tools critically and efficiently; as an engineer, you remain responsible for design, code quality, security, and the production outcome.
What We Expect in the First Year
In your first 90 days
- You’ll deliver fully functional features within an existing codebase and, in coordination with the design and backend teams, deploy them to production.
- You’ll participate fully in reviews, refinement sessions, and architecture sessions, and provide well-reasoned feedback on others’ work as well as your own.
- You’ll familiarize yourself with a specific domain and identify early on where improvements can be made—whether in terms of technology, collaboration, or our work processes.
Within 12 months
- You take ownership of a component, service, or domain and can explain architectural decisions to colleagues and clients.
- You contribute to reusable components, patterns, CI/CD, and security-by-design, and help reduce the use of ad-hoc solutions.
- You mentor less experienced colleagues and translate possibilities in AI, LLMs, SIP, and real-time events into practical solutions.
What You Bring to the Table
We distinguish between what is necessary to succeed in this role and the knowledge you can develop while working with us. The exact number of years of experience is less important than demonstrated independence, professional judgment, and a track record of results in a production environment.
- Several years of experience as a software engineer in an environment where real users depend on your code.
- You have proven proficiency in either Python or JavaScript/TypeScript with React and want to develop the ability to independently build a complete feature—from database to user interface—within a year.
- You work with relational databases and APIs on a daily basis and understand schema design, migrations, and scalability.
- You design before you build, weigh alternatives and technical debt, and write maintainable, testable software.
- You use AI development tools critically: you use them to speed up the process, but you also verify assumptions, security, and quality.
- You collaborate constructively with engineers, designers, consultants, and project managers. You listen to the client, identify risks and dependencies early on, and can professionally say “no” without damaging the relationship.
- You communicate fluently in Dutch or English, both verbally and in writing.
A nice bonus
Experience with one or more of the following topics makes us especially curious: SIP, WebRTC, or media streams; LLMs, RAG, vector search, or on-device AI; mobile performance; customer contact, CX, telephony, or CRM; the public sector or healthcare; containers, Kubernetes, CI/CD, and observability; or PHP for existing components. No experience with AI or SIP? You can learn those if you have a solid technical foundation.
What We Offer
- Work that has a visible social impact in areas such as healthcare, local governments, education, and helplines.
- A dedicated technology environment with its own platform, AI stack, and GPU infrastructure.
- A high degree of ownership over your work, a flat hierarchy, and direct lines of communication with colleagues, management, and clients.
- Targeted professional development through coaching, a personalized development plan, and knowledge sessions on AI, CX, development, and data.
- A hybrid workplace in Zeist, flexible working hours, and a position starting at 32 hours per week.
- A competitive salary and attractive benefits package. We’re open about this from the very first interview.
We’re a team of diverse personalities and areas of expertise. The atmosphere is informal and straightforward, with room for substantive discussions, dry humor, happy hours, hackathons, and a running group. What unites us is that we take what we deliver together seriously.
The Selection Process
We discuss expectations, energy, and collaboration right from the start. The process consists of a 45-minute introductory meeting, a technical interview lasting about an hour, a paid team exercise based on a real-world case study, and finally, a mutual evaluation and a concrete offer.
Apply
Send us your resume or profile, a brief cover letter, and—preferably—an example of work you’re proud of—such as a repo, case study, video, or code snippet—along with a few lines explaining the choices you made. Not sure if your profile is a perfect fit? Apply anyway and let us know what your concerns are.
