Senior Full-stack Software Engineer (Integrations)

You will work across the stack, C#/.NET on the server side, TypeScript/React on the front end, and Python for AI-powered services, building features that auditors trust with their most critical work.

This is a delivery-focused role for an engineer who is excited to make impact and grow in a team that ships fast, holds a high quality bar, and uses AI to accelerate development.

Technical Delivery

• Build and maintain the connectors and services that pull data from ERPs, accounting systems, and general ledgers into DataSnipper, in C# / .NET, TypeScript, and Python.
• Design the data models and mappings that turn each source system’s schema into a consistent shape our product and AI agents can rely on.
• Own new connector integrations end to end: research the source system’s API and auth, build the connector and its agent tools and MCP surface, test against real customer data, and support it after launch.
• Build the tooling and observability that keeps connectors reliable as source systems change their APIs underneath us.
• Implement authentication and data handling controls that meet customer security expectations for access to their financial systems.

Quality, Reliability & On-Call

• Write robust, well-tested, production-ready code, unit, integration, and end-to-end tests are part of the deliverable, not an afterthought.
• Participate in code reviews as both author and reviewer, help maintain coding standards and design patterns across the team.
• Participate in on-call rotation

Collaboration & Impact

• Use AI-assisted engineering effectively and responsibly, critically evaluating AI output.
• Partner with product managers, designers, ML engineers, and QA to refine requirements, surface edge cases, and ship features
• Break down stories, estimate work realistically, and deliver against sprint commitments with limited supervision.
• Contribute to technical design discussions, propose pragmatic solutions and challenge assumptions when it helps the team., * Ownership: You take features from refinement to production and stay accountable through bug-bashing, on-call response, and follow-ups. You don’t wait to be told what to fix.
• Growth Mindset: You actively seek and give feedback, and treat reviews and pairing sessions as a chance to grow rather than to defend.
• Collaboration: You build trust with product, design, QA, and fellow engineers; you ask good questions and share context generously.
• Adaptability: You feel comfortable in a fast-changing scale-up environment, priorities shift, scope sharpens, and you help the team adjust.

• Judgment: You balance speed and quality, know when to push back, when to ship pragmatically, and when to escalate.

• Being part of one of the fastest-growing scale-ups in the Netherlands
• Make an impact by disrupting the audit industry with us
• 28 vacation days
• Excellent salary
• Pension plan
• Stock participation plan
• Hybrid work (Amsterdam-based)
• International team and environment
• Daily lunch ️
• Mental health support (OpenUp)

• Social events and team activities

• Recruiter screen
• Hiring Manager interview
• Peer programming session
• System design interview
• Final interviews with Engineering leadership

Must-Have

• Minimum of 5 years of experience building applications using a modern stack built with .NET
• Hands-on experience with TypeScript and a modern front-end framework
• Proficiency with AI-assisted engineering tools
• Experience with relational and document-based databases.
• Strong experience building, deploying, and maintaining APIs
• Experience with Azure and Docker is required
• Knowledge of Event-Driven Architecture and DDD principles
• Passionate about high-quality coding standards and testing of code
• Entrepreneurial mindset with the ability to work effectively in an ever-changing scale-up environment
• Strong communication and collaboration skills in English, both written and verbal.

Nice-to-Have

• Experience building or integrating with AI agentic applications in production (LLM orchestration, RAG, evals, prompt engineering).
• Experience with document processing (OCR, PDF extraction, Azure Document Intelligence, layout parsing).
• Domain experience in audit, accounting, or fintech.
• Exposure to Event-Driven Architecture and Domain-Driven Design principles.