Senior Infrastructure Engineer – AI Platform (f/m/x)
A senior platform/infrastructure role at Eye Security (cybersecurity) designing scalable, secure AWS infrastructure, Terraform-based IaC, CI/CD, and observability — with initial ownership of the production environment for AI agents and LLM-backed services.
- Compensation
- Not disclosed
- Location
- The Hague - hybrid
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 6+ years
- Category
- Devops
- Posted
Skills
Must have
- 6+ years hands-on experience in Platform Engineering, DevOps, SRE, or related fields, with significant AWS experience
- Strong expertise in AWS, Infrastructure-as-Code with Terraform, GitOps, CI/CD systems, and observability
- Experience authoring reusable Terraform modules for other teams, including versioning and release practices
- Ability to write and maintain production code in a language such as Go, Python, or TypeScript
- Hands-on experience building and shipping a non-trivial agent or LLM-backed workflow in production or with real users
- Able to discuss concrete decisions around tool use, context and state, evaluation, failure handling, autonomy, cost, latency, deployment and operation of agent/LLM systems
- Strong understanding of security best practices, including least-privilege design and secure coding principles
- Proven ability to take initiative, solve complex problems, and deliver in ambiguous environments
- Skilled at breaking down complex problems into practical solutions, prioritizing impact and maintainability
- Analytical mindset with strong technical and product awareness
- Experience working in a start-up or scale-up environment and adapting to fast-changing needs
- Excellent communication and collaboration skills, able to influence technical and non-technical stakeholders
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
- Fluency in English
Nice to have
- Experience with Amazon Bedrock, Bedrock AgentCore, Bedrock Flows, Knowledge Bases, or Guardrails
- Experience deploying agent frameworks such as Strands Agents or LangGraph, and familiarity with Model Context Protocol or tool gateways
- Experience with automated evaluation of model or agent behaviour, prompt/configuration versioning, and regression testing for non-deterministic systems
- Experience instrumenting distributed systems with OpenTelemetry
- Experience running AI or data workloads under European data-residency constraints
- Background in cost optimization, compliance, or developer platform enablement
- Experience with additional observability or security tools beyond Grafana and Sentry
Full description
About Eye Security
Eye Security is providing cybersecurity with embedded cyber insurance solutions for organizations in Europe. Headquartered in the Netherlands, we are already over 200 FTEs and continue to grow internationally.
We combine cutting-edge technology with hands-on expertise to detect, respond to, and recover from cyber threats in real time. Our team brings together talent from intelligence, military, tech, and consulting backgrounds — all united by a shared mission: to make enterprise-grade cybersecurity accessible to every business, not just the big players.
At Eye, you’ll work on projects with an international footprint, solving real-world challenges and helping to build a safer digital future for our clients.
About this role
We are looking for a Senior Infrastructure Engineer (f/m/x) to strengthen our cloud and platform foundations, empowering teams to build, deploy, and operate software solutions.
In this role, internally titled Infrastructure Engineer IV, you’ll work at the core of cloud infrastructure, developer experience, and reliability. You’ll design scalable and secure systems on AWS, evolve our Infrastructure-as-Code and CI/CD practices, and champion automation, observability, optimization, and continuous improvement.
Your first major area of ownership will be the infrastructure behind AI-powered capabilities at Eye Security: building the secure, observable, and cost-controlled environment that takes agents and LLM-backed services from prototype to production. This is your starting point, not the permanent boundary of the role — over time, you’ll work across our wider cloud platform, developer experience, reliability, and infrastructure strategy.
This is a platform and infrastructure engineering role, not an ML research or applied science position. You will not train or fine-tune models, build feature pipelines, or work as a prompt engineer. We also don’t expect you to have worked with every AWS AI service listed below — strong platform fundamentals and real experience bringing AI-powered systems into production matter more than familiarity with specific services.
What you will do
- Design, build, and maintain highly scalable, resilient, and secure infrastructure on AWS.
- Lead our Infrastructure-as-Code practices using Terraform, including reusable modules and deployment patterns.
- Build the deployment patterns, workload identity, access controls, and operational guardrails required to run agents and LLM-backed services in production, covering tool access, secrets, data handling, service quotas, and cost.
- Evolve our monitoring and observability strategy using tools such as Grafana and Sentry, including distributed tracing across agent and tool calls, usage and cost attribution, and failures that are semantic rather than operational.