Cloud Ops Engineer

At Nimble Gravity we are looking for a Cloud Ops Engineer to join our team. The Cloud Operations Engineer will play a central role in the deployment, monitoring, and optimization of cloud platforms used by the Data Science team. This role requires hands-on expertise in cloud infrastructure (preferably AWS or Azure), modern DevOps practices, secure data operations, and automation frameworks. You’ll partner closely with data scientists, machine learning engineers, and data engineers to ensure our analytics systems run securely, efficiently, and at scale.

Primary Responsibilities

Cloud Infrastructure & Operations

• Manage, scale, and optimize cloud environments used for data science workloads (e.g., AWS, Azure, GCP).
• Provision, maintain, and optimize compute clusters for ML workloads (e.g., Kubernetes, ECS/EKS, Databricks, SageMaker).
• Implement and maintain high-availability solutions for mission-critical analytics platforms.

DevOps & Automation

• Develop CI/CD pipelines for model deployment, infrastructure-as-code (IaC), and automated testing.
• Build monitoring, alerting, and logging systems for cloud and ML infrastructure (e.g., CloudWatch, Prometheus, Grafana, ELK).
• Automate provisioning, configuration, and deployments using tools such as Terraform, CloudFormation, or Pulumi.

Data Platform Support

• Ensure smooth data ingestion, transformation, and model execution workflows.