DevOps II
Core
Designing, implementing, and managing scalable infrastructure, CI/CD pipelines, and container orchestration with a focus on supporting AI/ML model deployment.
Role type
DevOps Engineer (Infrastructure & MLOps)
Builds
Production-grade CI/CD pipelines, containerized applications, and automated infrastructure provisioning.
Domain
Cloud Infrastructure & Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, Python/Bash/Shell scripting, CI/CD tools (Jenkins/GitHub Actions/GitLab CI), Cloud platforms (AWS/Azure/GCP), Docker, Infrastructure as Code (Terraform/CloudFormation)
Preferred skills
MLOps workflows, monitoring tools (Prometheus/Grafana/ELK), DevOps security best practices
Responsibilities
Design and manage CI/CD pipelines for application deployment, Work with containerization and orchestration tools, Automate infrastructure provisioning and configuration management, Monitor system performance, reliability, and availability, Troubleshoot and resolve infrastructure and deployment issues, Support AI/ML model deployment and basic MLOps workflows
Seniority
Mid-level, hands-on IC
