Role summary
Design and operate the cloud foundations supporting enterprise data platforms, AI workloads and production applications across AWS and Azure.
What you’ll do
- Design cloud infrastructure across compute, networking, storage and resource orchestration.
- Build Kubernetes and container platforms for data, analytics and application workloads.
- Automate infrastructure using Terraform, Pulumi or comparable infrastructure-as-code tools.
- Improve observability, resilience, incident response and change safety.
- Optimize capacity and cloud cost while maintaining security and performance requirements.
- Create self-service infrastructure patterns for product, platform and data engineering teams.
What you should bring
- Hands-on cloud infrastructure experience across AWS and/or Azure.
- Strong infrastructure-as-code and container-orchestration skills.
- Understanding of networking, security, observability and production reliability.
- Ability to support data and AI workloads as well as web/application environments.
- Experience troubleshooting complex production infrastructure issues.
- Strong collaboration with software, data and platform engineering teams.
Useful additional experience
- Kubernetes certifications
- FinOps or cloud-cost optimization
- Multi-cloud architecture
- GPU or AI-infrastructure experience
How we work
NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.
Hiring process
The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.
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