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Platform Engineer - Data & AI - Equinix
Devops Engineer
Platform Engineer focused on building and operating scalable data and AI infrastructure using cloud services, container orchestration, and automation tools.
About the role
Key Responsibilities
- Design, develop, and maintain cloud‑native data platforms on AWS and GCP supporting AI/ML workloads.
- Automate provisioning and lifecycle management of infrastructure using Terraform and CI/CD pipelines.
- Deploy, monitor, and optimize containerized services with Kubernetes and Docker.
- Collaborate with data scientists and engineering teams to ensure reliable data pipelines and model serving.
- Implement security, observability, and cost‑optimization best practices across the platform.
Requirements
- 3+ years of experience in platform or DevOps engineering, preferably with data‑intensive workloads.
- Strong proficiency in Python for scripting and automation.
- Hands‑on experience with Terraform, Kubernetes, Docker, and CI/CD tools (e.g., Jenkins, GitLab CI).
- Deep knowledge of cloud services on AWS and GCP, including networking, storage, and compute resources.
- Understanding of data engineering concepts, such as ETL pipelines, data lakes, and model deployment.
Skills
pythonterraformkubernetesawsgcpdockercicd