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Nimble Gravity logo
Nimble Gravity

Data Science, Digital Transformation and eCommerce Strategy from experienced eCommerce and AI/ML experts

Cloud Ops Engineer

OperationsOperationsFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Latin America

Posted

176 days ago

Salary

0

Seniority

Senior

Job Description

Cloud Ops Engineer

Nimble Gravity

• 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. • 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. • Ensure smooth data ingestion, transformation, and model execution workflows. • Support data scientists with reliable, reproducible environments for research and development. • Collaborate with Data Engineering to maintain seamless integration between data pipelines and cloud systems. • Implement data science security controls and compliance requirements for cloud operations. • Conduct periodic risk assessments, patching, and governance reviews. • Support secure handling of sensitive financial and portfolio company data. • Partner with data scientists, machine learning engineers, and data engineers to support data-driven initiatives. • Serve as a technical advisor on cloud architecture, performance optimization, and operational excellence.

Job Requirements

  • A bachelor’s degree or higher in a STEM field, required
  • 5+ years of experience in cloud operations, DevOps engineering, SRE, or related roles.
  • Strong proficiency with at least one major cloud provider (AWS preferred).
  • Hands-on experience with IaC tools (Terraform, CloudFormation, or similar).
  • Strong scripting skills (Python, Bash, or PowerShell).
  • Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI, GitLab CI).
  • Familiarity with container orchestration (EKS, Kubernetes, ECS, AKS).
  • Experience supporting data-intensive or ML workloads.

Benefits

  • Competitive salary
  • Flexible working hours
  • Professional development budget
  • Home office setup allowance
  • Global team events

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