onsite
Mid-level DevOps Engineer - AI - Bell
Devops Engineer
Mid‑level DevOps Engineer focused on AI‑driven services, building and maintaining scalable cloud infrastructure, CI/CD pipelines, and container orchestration using Python, Docker, Kubernetes, AWS, and Terraform.
About the role
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for AI model training and deployment.
- Manage containerized workloads using Docker and Kubernetes on AWS.
- Automate infrastructure provisioning and configuration with Terraform and CloudFormation.
- Collaborate with data scientists and software engineers to integrate AI services into production systems.
- Monitor performance, ensure reliability, and troubleshoot issues in cloud environments.
Requirements
- 3+ years of hands‑on DevOps experience, preferably in AI/ML contexts.
- Proficiency in Python scripting for automation and tooling.
- Strong knowledge of Docker, Kubernetes, and AWS services (ECS/EKS, S3, Lambda).
- Experience with IaC tools such as Terraform or CloudFormation.
- Familiarity with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions) and monitoring solutions.
Skills
pythondockerkubernetesawsterraformcicd