Verified 4 days ago
Cloud Platform Engineer, Kubernetes
About the role
Cloud Platform Engineering at State Street builds and operates secure, scalable cloud infrastructure for AI/ML workloads. The Cloud Platform Engineer designs, implements, and automates Kubernetes‑based platforms, creates CI/CD pipelines, and integrates MLOps tools to support data scientists and developers. Hyderabad, India, on-site role focusing on multi‑cloud environments and AI/ML platform reliability.
What you’ll do
- Design and manage cloud infrastructure for AI/ML applications
- Build and maintain CI/CD pipelines for code and model deployments
- Automate provisioning and configuration using IaC tools
- Deploy, scale, and monitor containerized workloads on Kubernetes
- Implement MLOps workflows for model training, validation, and serving
- Optimize resources for performance, cost, and security
- Collaborate with data scientists, ML engineers, and platform teams
- Establish observability and incident response processes
What you’ll bring
- 10+ years of DevOps or Cloud engineering experience
- Strong expertise with AWS, Azure, or GCP
- Proficient in Kubernetes and Docker containerization
- Infrastructure as Code using Terraform or Ansible
- CI/CD pipeline development with Jenkins, GitHub Actions, or GitLab
- MLOps frameworks such as MLflow or Kubeflow
- Monitoring with Prometheus, Grafana, OpenTelemetry
- Security practices including HashiCorp Vault