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
• What We Expect:
• 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