Senior Software Engineer, Datasnipper

• 7+ years of experience building applications with a modern backend stack
• Experience with object oriented language is required. Experience with Python is preferred
• Hands-on experience with TypeScript and a modern front-end framework such as React
• Strong experience building, deploying, and maintaining APIs on a major cloud platform (we use Azure)
• Strong fundamentals of software architecture and system design
• Experience with relational and document-based databases
• A quality-first mindset, testing (unit, integration, E2E) is second nature
• Proficiency with AI-assisted engineering tools (we use Claude Code)
• Experience with Docker and containerized deployments
• Excellent communication and collaboration skills in English, both written and verbal
• Entrepreneurial mindset with the ability to work effectively in an ever-changing scale-up environment

Desirable

• We are looking for a Senior Software Engineer to join the Financial Statement Suite (FSS) team at DataSnipper. FSS is on a mission to make financial statement review error-free, fast, and intelligent for over 500,000 auditors worldwide
• We're building the next generation of FSS: a web-based, AI-powered experience where intelligent agents prepare and check financial statements, and auditors review, correct, and sign off with confidence. You'll help lead that shift, working primarily on the backend and our AI agent services, and contributing to the React web experience where it all comes together
• This is a hands-on senior role for someone who loves to build, sets a high quality bar, and wants to shape how a product is architected, not just implement it. You'll work closely with product, design, and fellow engineers, mentor the people around you, and use AI to move fast without cutting corners
• Technical Delivery
• Design and build production APIs and services, primarily in Python and C#, that power financial statement review workflows
• Develop AI-powered agents and workflows that automate the preparation and checking of financial statements, integrating LLMs and document-understanding pipelines
• Contribute to the React web front end, where auditors review, correct, and approve results
• Keep results trustworthy by pairing LLMs with deterministic checks, correctness is never left to guesswork
• Integrate with Azure and its AI services
• Implement security controls aligned with OWASP and OWASP GenAI security guidance
• Architecture, Quality & Reliability
• Architect services and systems using well-established design principles, anticipating future use cases
• Write robust, production-ready code that anticipates edge cases, unit, integration, and end-to-end tests are part of the deliverable, not an afterthought
• Raise the engineering bar through high-quality code reviews, technical mentorship, and establishing best practices
• Diagnose complex issues across services and use operational data to drive stability improvements
• Participate in the on-call rotation and stay accountable for what you ship
• Collaboration & Impact
• Break down epics, align dependencies, and help the team navigate ambiguity
• Partner with product managers and designers to shape solutions, refine the roadmap, and simplify technical approaches
• Foster a culture of documentation and knowledge sharing within the team and with business stakeholders
• Use AI-assisted engineering effectively and responsibly, critically evaluating AI output and helping the team adopt it well
• Mentor engineers and contribute to hiring, onboarding, and levelling up the team