Dev Ops Engineer (Ref.5179)
Core
Design, build, and operate scalable, secure, and automated platforms supporting data engineering, machine learning, and AI workloads in production.
Role type
Senior DevOps / MLOps Engineer
Builds
CI/CD and ML pipeline templates; automated ML lifecycle from training to deployment and monitoring; Kubernetes and cloud infrastructure
Domain
Automotive mobility / Data-as-a-Service / Cloud infrastructure
Deliverable
production ML models | infrastructure
Required skills
AWS (EC2, EKS, Lambda, VPC, IAM, S3), Kubernetes, Terraform, CI/CD (GitLab, GitHub Actions), Python scripting
Preferred skills
ML platforms (MLflow, Kubeflow, SageMaker, Bedrock), model serving, monitoring, drift detection, data pipelines, ML governance
Technologies
AWS, Kubernetes, Terraform, GitLab, GitHub Actions, MLflow, Kubeflow, SageMaker, Bedrock
Responsibilities
Design and operate DevOps and MLOps platforms; Build CI/CD and ML pipeline templates; Automate ML lifecycle from training to deployment and monitoring; Manage Kubernetes and cloud infrastructure; Enforce security, compliance, and IaC standards; Improve reliability, scalability, and observability
Seniority
Senior, hands-on IC
