> Markdown version of [/jobs/ext/4651687-software-engineer-net-tech-lead](https://www.wearedevelopers.com/jobs/ext/4651687-software-engineer-net-tech-lead). 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). --- # Software Engineer(.NET) - Tech Lead - **Company:** Budget Thuis - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €5,000 - €7,100 - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Software Debugging, WebSocket, Workflow Management Systems, ReactJS, Retrieval-Augmented Generation, Kubernetes, Web Technologies, Semantic Kernel - **Published:** November 10, 2026 - **Apply:** https://www.nationalevacaturebank.nl/vacature/80c78e0c-fc0e-4acc-a841-e8f7139a2da9/software-engineer-punt-net-tech-lead ## About the Role + Experience as a Tech Lead, Staff Engineer, or Engineering Lead in a software team. + Solid C# fundamentals, with enough Kubernetes and Azure knowledge to reason about production systems. + Familiarity with real-time web technologies like WebSockets and React. + Communication that works both with an engineer mid-debug and with a stakeholder who's never heard of a RAG pipeline. + A basic understanding of AI systems. + A real drive to learn about AI Nice to have, not required: + Experience with agentic workflow design or RAG systems. + Familiarity with orchestration frameworks such as Semantic Kernel or Azure AI Foundry. + Experience with voice or speech pipelines (STT/TTS, real-time audio). + Experience with technical hiring. ## Description Do you like staying close to the code while also deciding how a team builds its systems? As Tech Lead for our Customer Care team, you set the technical direction for the AI tools that hundreds of thousands of energy and internet customers actually talk to. If that sounds like the right mix for you, keep reading. Day to day, this looks like: + Translating product and domain challenges into clear technical approaches that balance speed, quality, and long-term stability. + Being in the code and in the room: reviewing designs, pairing with engineers, and coaching them through harder decisions instead of making those decisions for them. + Keeping services observable, secure, resilient, and genuinely production-ready on Kubernetes. + Working closely with our architect on where this team's systems end and the rest of the domain begins. + Making the team's day-to-day better through tooling, CI/CD, and testing practices that pay off over months, not just this sprint. + Building a culture where people want to keep learning and take ownership of what they ship. About the team The team builds the suite of AI tools that supports our customers: a chatbot with voice as a core capability, the Knowledge Base/RAG pipeline behind it, and the feedback loop that keeps improving both. It's a small team in the in customer care domain, working alongside an internal architect, a QA engineer, and an external delivery partner. You report to the Engineering Manager, who owns people and direction, while you run delivery day to day, coach engineers who own their own solutions, and work out with the architect how domain-wide direction gets built inside the team. The team is early enough that you'll shape real decisions instead of inheriting them. Vereisten What you bring We're looking for a senior, hands-on engineer who leads from inside the work, someone who still reviews and writes code instead of only diagramming it. This is a leadership-forward role, roughly 70% leadership and 30% hands-on, so a track record of mentoring and developing the people around you matters at least as much as any single technology on your CV. You'll need