- We are looking for a Senior Full-Stack Engineer to join the Integrations team at DataSnipper.
- The Integrations team builds the connectors that let people and AI agents work directly with the systems a business runs on — ERPs, accounting systems, general ledgers.
- We make that access simple, secure, and reliable, so our customers spend their time on the work itself rather than on getting data out of their systems
- 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
- 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
- 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
- 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
Strong experience building, deploying, and maintaining APIsExperience with relational and document-based databasesStrong communication and collaboration skills in English, both written and verbalHands-on experience with TypeScript and a modern front-end frameworkEntrepreneurial mindset with the ability to work effectively in an ever-changing scale-up environmentKnowledge of Event-Driven Architecture and DDD principlesExperience with Azure and Docker is requiredProficiency with AI-assisted engineering toolsMinimum of 5 years of experience building applications using a modern stack built with .NETPassionate about high-quality coding standards and testing of codeExperience 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)Exposure to Event-Driven Architecture and Domain-Driven Design principlesDomain experience in audit, accounting, or fintech