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.