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Intermediate AI DevOps Engineer - Bell
Devops Engineer
Join a fast‑growing team as an Intermediate AI DevOps Engineer, building and maintaining AI‑powered infrastructure using Python, Kubernetes, Docker, CI/CD pipelines, Terraform, and AWS services.
About the role
Key Responsibilities
- Design, implement, and maintain scalable AI/ML pipelines on cloud platforms.
- Develop and manage containerized workloads using Docker and Kubernetes.
- Automate infrastructure provisioning and configuration with Terraform and CI/CD tools.
- Collaborate with data scientists and software engineers to integrate AI models into production systems.
- Monitor performance, troubleshoot issues, and ensure high availability of AI services.
Requirements
- 2–4 years of hands‑on experience in DevOps or site reliability engineering, preferably with AI/ML workloads.
- Proficiency in Python scripting for automation and model deployment.
- Strong knowledge of container orchestration (Kubernetes) and containerization (Docker).
- Experience building CI/CD pipelines and using IaC tools such as Terraform.
- Familiarity with cloud services, especially AWS (EC2, S3, EKS, Lambda).
Skills
pythonkubernetesdockercicdterraformaws