5 hours ago
Amsterdam, Netherlands or Madrid, SpainMid Level
Responsibilities
- Develop tooling and infrastructure that improves developer experience for building, testing, deploying, and operating GenAI systems.
- Design and operate services for model access, tool integration, orchestration, evaluation, observability, and runtime infrastructure.
- Build scalable and reliable infrastructure on Kubernetes.
- Turn common engineering requirements into reusable platform capabilities and support complex use cases from experimentation through production.
- Own projects end to end from architecture and design through implementation, deployment, and operation.
- Improve platform simplicity, standardization, reliability, and scalability.
- Contribute to technical design discussions, code reviews, and organization-wide engineering standards.
- Collaborate with platform, infrastructure, security, product, and cross-border engineering teams.
Requirements
- 4+ years of professional experience in Platform Engineering, DevOps, Data Platform Engineering, MLOps, Backend Engineering, ML Engineering, or a similar role.
- Hands-on Linux system administration experience in cloud and on-premises environments.
- Strong engineering skills in version control, coding best practices, debugging, testing, and production readiness.
- Hands-on experience building or operating LLM-powered applications, agents, or GenAI platforms in production.
- Experience with Kubernetes, Helm, Argo CD, and platform engineering practices.
- Experience with observability tools such as Prometheus, Grafana, or Kibana.
- Proficiency in Python and comfort working with backend services and APIs.
- Experience improving developer experience and enabling users to set up applications on a platform.
- Understanding of LLM application architectures, including tool calling, RAG, agent workflows, model gateways, and evaluation.
- Ability to diagnose and resolve reliability, latency, scalability, cost, and deployment issues in GenAI systems.
- Understanding of security, access control, data privacy, and governance for shared AI platforms.
- Strong collaboration and communication skills, including explaining technical trade-offs and defining standards.
- Experience with MCPs is desirable.
- Experience with LiteLLM, including routing, fallbacks, rate limits, cost controls, and multi-provider setups, is desirable.
- Experience with Langfuse for tracing, prompt and version tracking, latency and cost monitoring, and production debugging is desirable.
- Experience with vLLM, GPU-backed inference, batching, throughput optimization, and OpenAI-compatible API serving is desirable.
Benefits
- The role is based in either the Madrid or Amsterdam office.
- Adyen is an office-first company and does not offer remote-only roles.
- The company emphasizes career support, diversity, equity, inclusion, and an interview process intended to provide an application response within 5 business days.
Tech Stack
Categories
About Adyen
Adyen builds a unified payments and financial technology platform for large merchants and platforms, offering card processing, POS, mobile, and global acquiring, plus risk and data tools. It sells payment processing and related services directly to businesses, earning fees per transaction. Founded in 2006 and headquartered in Amsterdam, it is a public company listed on Euronext Amsterdam (AMS: ADYEN) with customers including Meta, Uber, and H&M.