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-first mindset
Excellent
communication and collaboration skills
Nice-to-Have
Experience building
platform or shared-service capabilities
consumed by multiple internal teams and external partners
Experience with
Azure services
(AI Foundry, Container Apps, Service Bus, Blob storage, Content Understanding)
Experience with
observability tools
(Grafana, OTel)
Experience with
LLM-based document understanding
and evaluation
What We Expect
Ownership
: You own work end-to-end, anticipate issues, and ensure high-quality delivery without close supervision
Growth Mindset
: You encourage open feedback exchange and provide clear, balanced feedback that helps others grow
Collaboration
: You build strong cross-functional relationships and influence peers through expertise, data, and empathy
Adaptability
: You navigate ambiguity calmly, model positive behavior, and help peers adjust through clear communication
Judgment
: You exercise sound judgment in ambiguous situations, balance speed and accuracy, and adjust priorities proactively
What We Offer
Be part of one of the
fastest-growing, profitable unicorn scale-ups
in the Netherlands with a global impact
Equity (Stock Appreciation Rights) to share the company's success and growth
Excellent salary package, competitive for top tech talent
Pension plan with a 6% contribution on top of your base salary
28 vacation days per year (full-time) to support your work-life balance
Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office
Daily, freshly prepared lunches by our in-house chef to keep you energized
Parking and NS card for easy commuting to the office
Access to continuous learning and development initiatives to grow your skills
Engage with a vibrant international team spread across five global offices
Company-wide events like DataSnipper GO where global teams come together
Access to OpenUp, a mental health and wellness platform supporting your wellbeing
Friday drinks and various social activities are designed for team bonding and fun