Principal Full Stack Engineer, Wolters Kluwer

• 8+ years of professional software engineering experience
• Strong full‑stack development skills and cloud experience (AWS/Azure/GCP)
• Expert in at least one, and proficient across the others:
• AI Agent development and evaluation
• Backend development
• Frontend development
• Cloud services (AWS/Azure/GCP)
• CI/CD and Infrastructure as Code
• Site Reliability Engineering (SRE)
• Quality engineering / testing strategy
• Secure SDLC and privacy by design
• Proven track record delivering secure, reliable, cloud‑native systems to production
• Excellent problem‑solving, ownership, and cross‑functional communication

Desirable

• You'll join a 100-engineer team within a larger organization that combines the stability of an established company with the agility of a startup
• In this high-autonomy, high-impact role, you'll take problems from concept to production, mentor less experienced engineers, and lead by example
• You'll design and ship full-stack systems, shape platform capabilities to empower hundreds of product teams, and directly contribute to the development of the most impactful AI agents
• Design and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment
• Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry)
• Apply secure SDLC and privacy‑by‑design practices (threat modeling, least privilege)
• Collaborate with product, UX, and domain experts to deliver customer‑focused solutions with measurable outcomes
• Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value—faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query
• Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects