About nOps

nOps is the leading automated FinOps platform for cloud cost optimization, managing over $5B in annual cloud spend for companies from fast growing startups to integral enterprises across AWS, Microsoft Azure, and Google Cloud.

About the Role

nOps is looking for a hands-on DevOps Engineer with deep expertise in Kubernetes and cloud infrastructure to join our Customer Success team.

Unlike a traditional DevOps role focused on maintaining internal infrastructure, this role focuses on helping customers optimize their cloud environments, automate infrastructure improvements, and realize measurable savings.

You will work directly with customers to identify optimization opportunities, recommend solutions, and help implement changes safely in production.

Our philosophy is simple: We don't just provide recommendations. We help customers take action and achieve results.

Responsibilities

Kubernetes and Compute Optimization:
• Analyzes EKS clusters for cost, performance, and resource efficiency.
• Optimizes pod requests and limits, node utilization, and autoscaling.




• Works with Karpenter, Cluster Autoscaler, Spot Instances, and Savings Plans.
• Identifies underutilized resources and safely implements optimization strategies.
• Troubleshoots Kubernetes infrastructure and performance issues.

AWS Infrastructure Optimization:
• Identifies cost and operational inefficiencies across RDS, EC2, EBS, VPC, S3, and other AWS services.
• Reduces RDS and Kubernetes extended support costs through upgrade planning and execution.
• Optimizes RDS configurations, instance sizing, and storage.
• Finds idle, orphaned, and misconfigured cloud resources.
• Weighs performance, availability, and cost tradeoffs before making changes.

Automation and Infrastructure as Code:
• Builds automation using Terraform, Pulumi, Python, Bash, and AWS APIs.
• Turns recurring optimization recommendations into safe, repeatable workflows.
• Automates infrastructure changes with proper testing, monito

📌 Senior DevOps Engineer (Argentina)
🏢 Nops
📍 Argentina