Senior Cloud Infrastructure Engineer - Kubernetes from scratch - Multi-Cloud​/Cloud agnostic

Position: Senior Cloud Infrastructure Engineer - Kubernetes from scratch - Multi-Cloud / Cloud agnostic -[...]
This is a fast-growing AI platform/product startup building enterprise-grade software for highly complex, operational environments across industries such as infrastructure, energy, and other regulated sectors.
The team is growing steadily and we're proud of the knowledge level that's we're able to attract. Next on the hiring roadmap is someone who loves greenfield challenges, taking ownership, drive initiative across Cloud infrastructure and make a lot of impact in a small team.
The platform is already being adopted by large enterprise customers whilst we're still in very early phases so you're designing for production and will ship fast! This is exciting and you will have a key role during the next phase of growth.
The challenge  The company wants to further build a cloud-agnostic platform capable of running consistently across different enterprise customer environments, starting from a strong GCP foundation while expanding toward Azure and Kubernetes-native deployments.
This is not a traditional operations role. we're looking for someone who can take ownership of Cloud infrastructure architecture, deployment strategy, and long-term platform engineering standards / best practices.
What you’ll be working on   Designing and maintaining resilient cloud infrastructure across Azure and GCP
Building and improving Kubernetes-based platforms for production AI and application workloads
Creating CI/CD systems that deploy consistently across multiple cloud environments
Implementing infrastructure as code using Terraform and modern automation workflows
Designing secure networking foundations including VPCs, ingress, DNS, firewall policies, and private connectivity
Improving observability through logging, metrics, tracing, and alerting systems
Enabling autoscaling and workload orchestration using Kubernetes-native scaling patterns
Supporting distributed inference and model-serving infrastructure
Defining IAM and RBAC strategies that balance developer velocity with strong security boundaries
Collaborating closely with platform, AI, application, and security engineers
Establishing engineering standards, operational practices, and long-term infrastructure strategy
Treating infrastructure as software: versioned, automated, reproducible, observable, and reviewable
What we’re looking for   Strong experience operating production infrastructure in Azure and/or GCP
Deep Terraform and infrastructure automation expertise
Strong understanding of cloud networking, ingress, DNS, and secure connectivity patterns
Experience building and operating observability systems
Strong understanding of reliability engineering, failure modes, and security tradeoffs
Clear opinions on modern AI coding tools and how they should be used responsibly in engineering workflows
Pragmatic engineering mindset with strong technical depth
Ability to balance speed with long‑term maintainability
Strong collaboration and communication skills
Likely 5+ years in infrastructure, SRE, platform engineering, or distributed systems environments
Practicalities   Amsterdam-based hybrid setup with significant ownership and greenfield scope
High-performance engineering environment with modern tooling and hardware
Opportunity to help shape foundational infrastructure decisions early
This opportunity is especially interesting for engineers who enjoy building Kubernetes platforms from scratch and taking ownership of cloud infrastructure strategy in complex enterprise environments.

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