Staff Software Engineer - Alwin

Contract type
Ongoing
Work mode
Hybrid · 3 days/week in office · Amsterdam, Netherlands
Experience
Lead / principal · 10+ years

Job description

Staff Software Engineer in the Amsterdam office building Alwin, DataSnipper's Agentic Automation Platform for audit and finance, and the systems around it. A hands-on role focused on writing code, building the hardest parts of the runtime, prototyping new capabilities and getting them into production.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Hybrid · 3 days/week in office · Amsterdam, Netherlands
Languages
English

What you'll do

  • Write production code every week on the most complex and critical parts of Alwin
  • Build proofs of concept for new agent capabilities, and take the ones that work all the way to production
  • Champion experimentation and R&D: try emerging models and techniques, solve hard problems creatively, and turn promising ideas into reliable features
  • Build shared capabilities that multiple teams adopt, and remain accountable for whether they make those teams faster and their products more reliable
  • Contribute directly to the agent harness at the core of Alwin: the orchestration, tools, context and evaluation loops every agent runs on
  • Anticipate where the platform needs to be in 12 to 18 months, and make design decisions now that minimize the cost of future change
  • Build agents that are reliable in a regulated domain: grounding, evaluation before release, human-in-the-loop, traceability of every action
  • Improve how teams build Alwin by establishing tooling and feedback loops that help them detect agent failures, prioritize improvements, prevent regressions and ship production-ready agents faster
  • Jump into the hardest incidents across teams, resolve immediate problems and turn what you learn into lasting, systemic fixes
  • Make the trade-offs between model cost, latency and accuracy explicit, and measure them in production
  • Own ambiguous, high-impact technical problems across teams: define the problem, align on the trade-offs and prove the solution in code
  • Set the standard for code quality, testing and security through your own code and reviews, aligned with OWASP GenAI
  • Drive AI-assisted engineering by example: try new tools, show what works and help teams adopt them
  • Mentor senior engineers and grow future staff engineers by pairing, reviewing and building alongside them
  • Work with Product to spot opportunities and differentiators against the competition, and shape the roadmap with what you have proven is possible

What we're looking for

  • 10+ years in software engineering, with strong, production-grade Python, and you still write a lot of code
  • Deep hands-on experience building and shipping agentic or LLM systems in production yourself (control loops, tool calling, context engineering and evaluation), with evidence that your work improved quality, reliability, speed, cost or scale
  • A track record of personally solving ambiguous, high-impact problems across teams, with measurable results and systems or practices that others adopted
  • Experience mentoring senior engineers and growing technical leadership beyond your own team
  • Strong fundamentals in distributed systems, software architecture and data modeling on a major cloud platform
  • Experience with security, access control and auditability for enterprise or regulated customers
  • Product sense: you know which technical bets matter for customers and the business, and have influenced product and engineering direction through evidence and clear trade-offs, without relying on formal authority
  • Proficient with AI-assisted engineering, and experience driving its adoption beyond your own work
  • Clear written and verbal communication, across time zones and with technical and non-technical audiences

Nice to have

  • Building platforms that other teams and customers build on
  • Multi-agent orchestration or durable, long-running workflows at scale
  • Retrieval and knowledge systems, or document processing (OCR, classification, structured extraction)
  • Working closely with Forward Deployed Engineers, Solution Architects and GTM teams on enterprise rollouts
  • Experience at a scale-up going through rapid growth
  • Domain experience in audit, accounting or fintech

Benefits

  • 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
  • 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
  • NS business card for easy commuting to the office if applicable
  • 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 a mental health and wellness platform supporting your wellbeing

How to get hired

  1. 1Recruitment Screen (30 minutes, online)
  2. 2Hiring Manager Interview (30 minutes, online)
  3. 3Live coding Interview (75 minutes, online)
  4. 4System design interview (60 minutes, on-site)
  5. 5Final Interview (30 minutes, online)

Apply

Direct apply at Datasnipper

Opens the job posting at Datasnipper

About DataSnipper

DataSnipper builds AI solutions for audit and finance professionals. Its platform is used by more than 600,000 professionals across 3,000+ organizations in 175 countries, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 the platform delivered more than $1.4 billion in productivity savings to its customers. The company is backed by a $100 million Series B led by Index Ventures at a $1 billion valuation and is a member of 1% for the Planet. It has just launched Alwin by DataSnipper, an agentic platform where AI agents run in the cloud across hundreds of documents, reasoning across PDF, Word and Excel with a full audit trail behind every step.

Mission

We build AI solutions that empower audit and finance professionals, making evidence easier to trace and verify so they can focus on the judgment and expertise that make their work so important.

Key facts

  • More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper
  • Customers include Fortune 500 companies, government agencies and all Big Four audit firms
  • In 2025 the DataSnipper platform delivered more than $1.4 billion in productivity savings to its customers
  • Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation
  • Proud members of 1% for the Planet
  • International team spread across five global offices
  • Launched Alwin by DataSnipper, an agentic platform for audit and finance