Devops /Platform Engineer (4631)
Core
Design, build, and operate cloud infrastructure, CI/CD pipelines, and developer platforms to support AI/ML model lifecycle management and digital innovation initiatives.
Role type
Senior DevOps / Platform Engineer (MLOps focus)
Builds
Cloud-agnostic infrastructure, CI/CD pipelines, Kubernetes clusters, and MLOps tooling for AI/ML model serving and training.
Domain
Financial services / Insurance / Cloud Infrastructure / MLOps
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline engineering, Infrastructure-as-Code (Terraform), Kubernetes administration, Cloud cost optimization, GitOps workflows, Multi-cloud architecture (AWS/Azure/GCP), MLOps tooling, Container registry management, DORA metrics implementation.
Preferred skills
Experience with serverless compute, Feature flag implementation, Security scanning integration (SAST/DAST/SCA).
Technologies
Terraform, Pulumi, CloudFormation, Bicep, ArgoCD, Flux, EKS, AKS, GKE, AWS Lambda, Azure Functions, Cloud Functions.
Responsibilities
Design and maintain end-to-end CI/CD pipelines for code, infrastructure, and AI/ML models; Implement deployment strategies including blue/green, canary, and rolling updates; Design and operate Kubernetes clusters for containerized workloads; Build and manage serverless compute infrastructure for event-driven workflows; Implement cloud cost optimization strategies; Design multi-environment strategies.
