Senior Cloud Engineer
Pubblicato il 20-08-2026 - Motork in Milano
*About us:*
MotorK is the leading sales and marketing technology company in Europe, specialized in the automotive sector.
We sit at the intersection of deep vertical complexity (automotive SaaS, 10,000+ dealerships, enterprise-grade) and a company that has gone all-in on AI as its primary engine of scale.
Vertical SaaS captures the most value from AI. We're not theorising - we're living it.
You'll join our Infrastructure team to architect and maintain the systems that power our digital products across Europe. This isn't ops work with a modern coat of paint - you're owning the full infrastructure lifecycle: design, delivery, observability, and automation.
- Infrastructure:
Design and deploy cloud-native solutions on AWS using Kubernetes and Terraform across a high-traffic microservices architecture.
- CI/CD & Delivery:
Own deployment pipelines and GitOps workflows with GitHub and ArgoCD.
- Observability:
Build monitoring and logging strategies with Grafana and Loki so the platform stays reliable at scale.
- Automation:
Optimise internal workflows with n8n and explore agentic AI tooling to cut manual overhead and sharpen developer experience.
- Collaboration:
Partner directly with dev squads on production delivery, capacity planning, and performance.
- Security:
Keep AWS environments clean - best practices, data protection, compliance.
*Who you are:*
- Data-driven when troubleshooting and scaling - you reach for metrics before opinions
- Comfortable in a fast-paced SaaS environment where the ground shifts
- Senior enough to mentor others and make architectural calls that stick
- Curious about the intersection of AI and infrastructure - and actively looking to act on it
*What you bring:*
- 5+ years in cloud/infrastructure engineering - you've run things at scale and felt the pain when they break
- Strong hands-on experience with Docker and Kubernetes
- Fluent in Terraform for IaC and ArgoCD for GitOps-based delivery
- Proven background in AWS
- Solid observabilit