Remote FinOps Data Analytics Engineer III

CrowdStrike Inc.; Richmond (VA); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity awards

Health insurance

401k

Paid time off

Professional development

Job summary

CrowdStrike is seeking a FinOps Data Analytics Engineer II to build cost optimization solutions across product and platform groups. You will develop dashboards, automate cost monitoring, and contribute to tagging strategies in a fast-moving cloud environment.

Join a mission-driven company that values learning, collaboration, and responsible AI adoption while you grow your FinOps expertise and influence cost decisions across engineering teams.

Qualifications

• Bachelor's degree required in CS/Engineering or related field.
• 3+ years of software engineering experience.
• Strong programming skills in Python, Go, or similar languages.
• Experience with at least one major cloud platform (AWS, Azure, or GCP).
• Familiarity with Git and collaborative development workflows.
• Understanding of containerization (Docker).
• Experience with monitoring tools and observability concepts.

Responsibilities

• Build cost monitoring and alerting solutions across cloud platforms.
• Develop scripts and automation for cost optimization workflows.
• Assist in cost allocation and tagging implementations for accurate attribution.
• Create and maintain cost optimization dashboards and reports.
• Support integration between cloud billing APIs and internal systems.
• Contribute to tooling and automation across FinOps processes.

Skills

Python

Go

Git

Observability

Docker

SQL

Networking basics

Security fundamentals

Education

Bachelor's degree in Computer Science, Engineering, or related technical field

Tools

AWS

Azure

GCP

Terraform

CloudFormation

Grafana

Tableau

Docker

Job description

CrowdStrike is seeking a FinOps Data Analytics Engineer II to build cost optimization solutions across product and platform groups. You will develop dashboards, automate cost monitoring, and contribute to tagging strategies in a fast-moving cloud environment.

Join a mission-driven company that values learning, collaboration, and responsible AI adoption while you grow your FinOps expertise and influence cost decisions across engineering teams.