Principal Product Software Engineer, Wolters Kluwer
Salary not provided
React
Kubernetes
TypeScript
JavaScript
.NET
Azure
REST API
Angular 14+
Senior and Expert level
Remote from Netherlands
More information about location
AI-powered solutions for professionals
Be an early applicant
AI-powered solutions for professionals
1001+ employees
B2BEnterpriseLegalBusiness IntelligenceFinancial ServicesAutomation
Be an early applicant
Salary not provided
React
Kubernetes
TypeScript
JavaScript
.NET
Azure
REST API
Angular 14+
Senior and Expert level
Remote from Netherlands
More information about location
1001+ employees
B2BEnterpriseLegalBusiness IntelligenceFinancial ServicesAutomation
Company mission
To help customers make critical decisions every day by providing expert solutions tha to combine deep domain knowledge with technology.
Role
Who you are
- You’ve helped organizations ship faster and with higher quality by changing engineering practices, not just codebases
- This role is for someone who operates at the intersection of architecture, engineering effectiveness, and modern AI-enabled development, with a strong bias toward rigor, clarity, and measurable outcomes
- You do not need to have worked with what our systems use specifically. Experience with similar ecosystems and the ability to reason across them matters more than matching keywords
- We’re looking for someone who:
- Thinks in systems, but delivers in increments
- Writes design documents that engineers actually want to read
- Treats testing, documentation, and observability as first-class engineering concerns
- Is comfortable saying “this is good enough for now” and “this needs to be fixed properly.”
- Knows when to experiment and when to standardize
- We care less about which technologies you’ve used and more about what changed because you were there. Strong signals include:
- Leading or heavily influencing architectural decisions in complex systems
- Improving engineering throughput and quality through better practices—not rewrites
- Leading modernization efforts that moved systems toward genuine cloud-native outcomes
- Enabling AI assisted and agentic workflows with clear intent, specifications, and guardrails
- Demonstrated breadth across API styles and the judgment to choose and evolve them appropriately
What the job involves
- You will be part of the ‘Tech B.V. ’ team, which focuses on development, service and delivery of technology solutions that support Twinfield’s digital products and services
- We’re looking for a Principal Engineer who makes engineering teams meaningfully better
- Not by introducing the newest framework or rewriting everything, but by improving how problems are understood, how systems are designed, and how value moves from idea to production
- You'll take loosely defined product or platform problems and turn them into clear problem statements, constraints, and success criteria
- Rationalize complex technical architectures into coherent, reviewable designs that engineers can execute incrementally
- Make principled tradeoffs between speed, quality, and long term maintainability—and explain those tradeoffs clearly
- Identify friction in the SDLC and help teams remove it through better design practices, clearer specifications, improved testing strategies, and tighter feedback loops
- Lead the adoption of specification driven development: explicit contracts, well-defined interfaces, and testable requirements
- Promote development workflows where design, validation, and implementation are deliberate phases, and production code reflects understood decisions
- Help teams deliver faster by improving how work is shaped, not by asking people to work harder
- Introduce practices that lead to observable improvements in:
- Lead time and cycle time
- Change failure rate
- Defect escape rates
- Confidence in releases
- Use data where it helps, judgment where it matters
- Experiment with and enable agentic development techniques across the SDLC, including requirements refinement, design exploration, test generation and validation, documentation, and maintenance
- Ensure that AI and agent assisted development is grounded in explicit intent—using specifications, contracts, and tests as primary inputs—so automation amplifies engineering judgment rather than substituting for it
- Establish guardrails that keep systems understandable, changes reviewable, and intent preserved over time
- Lead and contribute to the design and delivery of cloud-native applications: observable, resilient, secure by default, and independently deployable
- Guide teams through legacy modernization efforts that result in true cloud-native characteristics—clear service boundaries, independent deployability, container readiness, and appropriate use of managed platform services—not simply moving existing systems to cloud infrastructure
- Help teams make pragmatic hosting decisions (IaaS vs. PaaS, VMs vs. containers/Kubernetes) based on system constraints, maturity, and desired outcomes
- Design, build, and evolve APIs with strong contract discipline, backward compatibility strategies, and a focus on consumer experience
- Bring broad experience consuming and producing multiple API styles and protocols, including:
- SOAP / WCFstyle services
- RESTful APIs (including hypermedia / HATEOAS where appropriate)
- GRPC
- Understand and articulate the tradeoffs between these approaches—latency, coupling, discoverability, versioning, tooling, and evolution—and guide teams on when each is appropriate
- Contribute to systems that integrate AI/ML capabilities into real, customer facing products, including (but not limited to) GenAI features and agents
- Help teams reason about model behavior, failure modes, system boundaries, and operational risks
- Ensure AI features are built with security, observability, and long term operability in mind
- Act as a technical multiplier across teams
- Mentor senior and staff engineers through design reviews, architectural discussions, and hands-on collaboration
- Influence through clarity, reasoning, and credibility—not mandates
- Our systems span a mix of:
- Backend technologies including Microsoft .NET (multiple versions and languages)
- Frontend technologies such as JavaScript / TypeScript with frameworks like Angular and React
- Infrastructure across both IaaS and PaaS, including virtual machines and Kubernetes based platforms, all hosted on Microsoft Azure
- What success looks like after you’ve been here for a while:
- Teams are clearer on what they’re building and why before they start coding
- Delivery is faster, releases are calmer, and failures are easier to reason about
- Engineers trust the systems they work on—and the process they use to change them
- AI and agents are used where they create leverage, with intent preserved and outcomes measurable
Our take
For over 185 years, Wolters Kluwer has been innovating the way professionals and businesses work. The company has expanded to offer a substantial range of services across the Health, Tax & Accounting, Finance, Compliance, and Legal sectors.
While operating across so many sectors comes with an extensive range of competition, Wolters Kluwer serves customers in over 180 countries, which has been managed, in part, due to its 70+ acquisitions. For example, the company has recently acquired leading artificial intelligence technology company Della AI, which will become part of its legal software unit, to further advance its natural language processing capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Led by a woman
Company
Company HQ
Alphen aan den Rijn, Netherlands
Leadership
Nancy McKinstry
(CEO & Chairman of the Executive Board, not founder)Held various roles at the company before being named CEO in 2003. Current Member of the Board of Directors at various companies including Accenture, Abbot, Russel Reynolds Associates, and Columbia Business School.
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