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We are looking for a Senior Software Engineer to join the Document Intelligence Team. Our vision is to become the document knowledge platform for DataSnipper — a shared, cloud-native foundation where every document and everything we extract from it becomes a durable, reusable asset that powers our agents and other products. This is a hands-on engineering role in a high-caliber team that moves fast and holds a high bar. You will design and implement the ingestion, processing, and extraction pipelines and the platform services that expose them, drive architectural decisions, and help shape the future of document intelligence at DataSnipper. You will work closely with Product, Agent teams, and fellow engineers to deliver high-quality, production-ready solutions. ABOUT DATASNIPPER Audit and finance are still massively manual — and we’re changing that. 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. WHAT YOU WILL DO TECHNICAL DELIVERY - Design and implement the document intelligence platform delivering best-in-class accuracy, speed, and reliability - Build and maintain the platform APIs and services that expose documents and their extracted intelligence as shared, reusable capabilities for multiple products and workflows - Design and operate the cloud document store: a secure, managed store for every document we ingest plus everything we extract, with the metadata, retrieval patterns, and traceability that downstream intelligence requires - Integrate with AI service providers to power document understanding at scale - Build AI- and ML-powered extraction capabilities - Define and enforce clean integration contracts between platform APIs and consuming teams ARCHITECTURE & QUALITY - Architect services and systems using well-established design principles, anticipating future document-heavy use cases (large PDFs, mixed formats, high-volume batches) - Raise the engineering bar through technical leadership, high-quality code reviews, and establishing best practices - Build and use quality metrics; repeatable pipelines that score extraction quality on representative production documents to identify gaps and drive measurable improvements - Implement security controls and compliance guarantees for document handling (retention, deletion, access controls, auditability, and regional requirements) COLLABORATION & IMPACT - Break down epics, align cross-team dependencies, and manage ambiguity for the team - Design solutions with product partners, refine the team roadmap, and simplify technical approaches - Foster a culture of documentation and knowledge sharing within the team and with business stakeholders - Integrate AI tools into workflows, critically evaluate AI outputs, and contribute to team-level AI adoption WHAT YOU WILL BRING MUST-HAVE - 7+ years in software engineering, with strong proficiency in C# and/or Python and its ecosystem and tooling - Experience building and operating data-intensive backend services in production on any cloud platform (we are on Azure) - Experience with document processing, analysis, or storage technologies and pipelines - Proficient with AI-assisted Engineering (we use Claude Code) - Strong fundamentals in architecture and design of distributed systems - Experience with testing strategies (unit, integration, E2E) and a quality-fir