AI DevOps / Cloud Engineer (MLOps)

📋 Description

• Design and own AWS cloud infra for AI/Data (VPC, IAM, networking, compute).
• Build CI/CD pipelines for data/ML teams using GitHub Actions or GitLab CI with GitOps.
• Own AI tech ops when TechOps is absent (env, access, tooling, monitoring, incidents, licenses).
• Own Docker and Kubernetes across AI workloads; manage cluster health, resources, and cost.
• Collaborate with ML engineers to deploy models; maintain serving infra, endpoints, and batch scoring.
• Implement observability across infra and ML models: alerts, dashboards, on-call.

🎯 Requirements

• 5+ years in DevOps, Cloud Engineering, or SRE.
• Proven experience building cloud infra from scratch.
• Expert-level AWS skills.
• Hands-on Kubernetes in production.
• IaC with Terraform or CloudFormation.
• Able to be sole infra owner initially.

🎁 Benefits

• Work with one of the world's leading financial derivatives institutions.
• Competitive salary plus performance-based incentives.
• International, fast-growing environment.
• Career progression within a global financial group.
• Be part of a business committed to innovation and long-term growth.