Engineer III - Data Analytics (hybrid)

CrowdStrike CrowdStrike · Enterprise · NY +3 · Remote

CrowdStrike is establishing a FinOps practice to drive sustainable cost management across their product and platform groups. The FinOps Engineer III will be a key technical contributor, implementing cost optimization solutions and building the technical foundation for cost management capabilities. This role involves designing and implementing automated cost monitoring, alerting, and optimization solutions, developing cost allocation algorithms, building integrations with cloud billing APIs, and creating technical documentation. It also includes developing tooling for FinOps processes, building dashboards for cost visibility, implementing cost guardrails, designing scalable solutions for cost data, and contributing to FinOps requirements. Collaboration with product engineering, Infrastructure Foundations Program, FinOps Working Group, and Data Analytics Team is expected. The role also involves researching new cost optimization tools, contributing to FinOps governance, mentoring junior engineers, and staying current with cloud pricing.

What you'd actually do

  1. Design and implement automated cost monitoring, alerting, and optimization solutions across cloud platforms
  2. Develop and maintain cost allocation algorithms and tagging strategies for accurate cost attribution
  3. Build integrations between cloud billing APIs and internal cost management systems
  4. Create technical documentation and best practices for cost-efficient infrastructure patterns
  5. Collaborate with platform teams to implement cost optimization recommendations

Skills

Required

  • Python, Go, or similar languages
  • cloud platforms (AWS, Azure, GCP) and their cost management tools
  • infrastructure as code (Terraform, CloudFormation, etc.)
  • monitoring and observability tools (Prometheus, Grafana, DataDog, etc.)
  • containerization and orchestration technologies (Docker, Kubernetes)
  • CI/CD pipelines and DevOps practices

Nice to have

  • FinOps Certified Practitioner certification
  • cybersecurity or SaaS industry
  • commitment-based discount programs (Reserved Instances, Savings Plans, CUDs)
  • data pipeline development and ETL processes
  • cost optimization tools (CloudHealth, Cloudability, etc.)
  • database optimization and performance tuning

What the JD emphasized

  • cost management
  • cost optimization
  • cost allocation
  • cost monitoring
  • cost guardrails
  • cost data