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CloudOps Engineer

CloudZero helps customers understand and optimize their cloud spend through real-time cost data processing across AWS, Azure, and GCP.
DevOps
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS · Finance

Description For CloudOps Engineer

CloudZero is seeking a CloudOps Engineer to join their growing CloudOps team focused on Developer Experience, SRE, and FinOps. This role is crucial for maintaining the reliability, performance, and observability of CloudZero's infrastructure, which processes billions of events daily across AWS, Azure, and GCP. The platform operates on a unique serverless architecture, handling massive data volumes and ensuring sub-second query performance across terabytes of data.

The position offers exciting challenges in scaling systems to support customers spending millions monthly in a modern, event-driven environment. You'll be responsible for Infrastructure as Code implementation using Pulumi, building comprehensive observability systems, and automating operational processes. The role requires collaboration with product engineering teams to design resilient services and create efficient deployment pipelines.

As a CloudOps Engineer, you'll be at the forefront of cloud cost optimization, working for a company that helps others optimize their cloud spend. The ideal candidate brings 3-5+ years of AWS experience, strong Python and Kubernetes skills, and a proven track record with monitoring tools. This hybrid position is based in Boston and requires current U.S. work authorization.

CloudZero values diversity and operates as an equal opportunity employer, making this an excellent opportunity for someone passionate about infrastructure and operational challenges at scale. The role combines technical expertise with business impact, as the platform's stability directly affects customers' business-critical decisions regarding cloud spend optimization.

Last updated 3 days ago

Responsibilities For CloudOps Engineer

  • Design and maintain Pulumi modules for cloud resource provisioning
  • Build and maintain observability systems for quick problem detection
  • Automate deployments, scaling, backups, and limit changes
  • Partner with product engineering teams on service design and architecture
  • Optimize cloud cost and performance
  • Ensure infrastructure reliability and performance

Requirements For CloudOps Engineer

Python
Kubernetes
  • 3-5+ years of experience building and operating distributed systems in AWS
  • Strong skills in Python, Infrastructure as Code, and Kubernetes
  • Hands-on experience with monitoring tools like Prometheus or DataDog
  • Proven ability to debug production issues under pressure
  • Values thoughtful, reliable system design
  • Strong documentation habits
  • Clear communication skills with non-technical stakeholders
  • Current U.S. work authorization without sponsorship needed

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