Platform Engineer II - Internal Hosting Platform
Listed on 2026-07-01
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Software Development
Cloud Engineer - Software, Backend Developer, DevOps, Software Engineer
Build With Us
Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe.
Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind.
We're one of Europe's fastest-growing fintechs, with 1000+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you're solving problems, building market-leading products or exploring how AI can make work smarter, you'll have the freedom to create and the trust to deliver.
If you're ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you.
Your ImpactWe're building the runtime for Mollie's next generation of internal tools — not just for engineers, but for everyone. When a finance analyst can deploy a fully working app with a single git push, that's infrastructure that creates real organizational leverage. This role is about building that foundation and keeping it running as adoption scales.
The Compute & Onboarding team owns the runtime layer of Mollie's internal cloud platform — how workloads get deployed, discovered, and operated across our GCP environment. We're expanding to accelerate the Internal Hosting Platform (IHP):
Mollie's answer to the question "what if anyone at Mollie — engineer, analyst, designer — could ship a full-stack internal application without touching Kubernetes or configuring cloud infrastructure?"
Early adopters across Finance, Design, and Internal Audit are already building on the platform. We're scaling it to the rest of the company.
AboutThe Role
You'll be a builder and steward of the platform that turns "I have an idea for a tool" into "here's the link — it's running." That means extending the CI/CD layer, hardening the runtime (secret injection, access control, multi-tenant onboarding), and pushing the platform forward from static-file hosting toward full-stack, AI-native internal applications.
You'll work closely with the people who use the platform — often non-engineers building with AI assistance — and translate their friction directly into engineering improvements. The feedback loop is tight. The impact is visible. The surface is genuinely greenfield.
What You'll Ship- Build and maintain the CI/CD integration that turns a commit into a deployed, shareable internal application
- Implement self-service tenant onboarding — removing manual provisioning toil from the team
- Add runtime capabilities: secure secret and environment variable injection, team-level access control, server-side application hosting
- Write and maintain Terraform for platform infrastructure on GCP
- Work with internal adopters — from engineers to analysts — to understand blockers and turn them into platform improvements
- Contribute to platform reliability, observability, and lifecycle governance
- 3–5 years of full-stack engineering experience, comfortable across the stack
- Strong command of Terraform for infrastructure-as-code on a major cloud provider — GCP experience is a real advantage
- Solid experience with CI/CD pipelines (we run on Git Lab CI)
- Backend experience in Node.js, Go, or Java — language matters less than engineering rigour and willingness to move in our stack
- Frontend proficiency in Type Script / React for internal UI work
- Familiarity with cloud-native primitives: containers, managed databases, secrets management, IAM, access control patterns
- Comfort working close to the user — this platform serves internal colleagues; you'll hear feedback directly and often
- Prior work building developer platforms, internal tooling infrastructure, or Dev Ex products
- Experience with multi-tenant access control or identity integration patterns
- Exposure to AI-assisted development workflows — our users increasingly build with AI agents, and understanding that context helps
- Familiarity with GCP services (Cloud Run, Cloud SQL, GCS, Secret Manager, IAM)
Most…
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