Senior Cloud Infra Engineer - Kubernetes from scratch - Solid Python knowledge - Multi-Cloud / [...]

Sprint and Partners; Amsterdam; On-site; EUR 70,000 - 90,000; Full time

Benefits offered by this job

High-performance engineering environment

Opportunity for significant ownership

Modern tooling and hardware

Job summary

Sprint and Partners, located in Amsterdam, is looking for an experienced cloud infrastructure engineer to design and maintain resilient systems across Azure and GCP. This hybrid role offers significant ownership and the opportunity to work with modern tooling in a fast-growing AI environment.

The successful candidate will have at least 5 years of experience in infrastructure or SRE, along with deep knowledge of Terraform and Kubernetes. Join us to shape foundational infrastructure decisions in complex enterprise settings.

Qualifications

• 5+ years in infrastructure, SRE, platform engineering, or distributed systems.
• Strong experience operating production infrastructure in Azure and/or GCP.
• Deep expertise in Terraform and infrastructure automation.

Responsibilities

• Design and maintain resilient cloud infrastructure across Azure and GCP.
• Build and improve Kubernetes-based platforms for AI workloads.
• Implement infrastructure as code and modern automation workflows.

Skills

Cloud infrastructure architecture

Kubernetes

Terraform

CI/CD systems

Cloud networking

Tools

Azure

GCP

Job description

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.