Software Engineer, Datasnipper

• Minimum of 3 years of experience building applications using a modern backend stack
• Proficiency with AI-assisted engineering tools
• Experience with C# is required. Experience wit Python is a preferred
• Hands-on experience with TypeScript and a modern front-end framework
• Experience with Azure and Docker is required
• Experience with relational and document-based databases
• Strong experience building, deploying, and maintaining APIs
• 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
• Experience with a major cloud platform
• Strong communication and collaboration skills in English, both written and verbal

Desirable

• We are looking for a Middle Full-stack Engineer to join the Financial Statement Suite team at DataSnipper. FSS is on a mission to make financial statement review error-free, fast, and intelligent for over 500,000 auditors worldwide
• 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 grow in a team that ships fast, holds a high quality bar, and uses AI to accelerate development. You will work closely with senior engineers, product, design partners to deliver production-ready features end-to-end.
• DataSnipper is a $1B, bootstrapped unicorn with 600,000+ users across 180+ countries, already embedded in the daily workflows of top audit and accounting firms. Now, we’re taking things further with our Excel Agent — bringing AI directly into where the work actually happens
• Unlike generic AI tools, we don’t sit on the sidelines. Our AI operates inside Excel, with access to real documents and audit evidence — meaning it doesn’t just generate answers, it does the work, with full traceability
• We’re not just applying AI — we’re redefining how audit gets done. If you want to build something category-defining at scale, this is the place
• Build and maintain production APIs and services in C# / .NET, TypeScript, and Python that power financial reports validation workflows
• Develop AI-powered agents and workflows that automate the validation of financial reports, integrating LLMs and document understanding pipelines
• Contribute to the React web front end
• Integrate with Azure and its AI services
• Implement security controls aligned with OWASP and OWASP GenAI security guidance
• 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 the 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