Engineer III - FinOps Data Analytics; Remote
New York, New York City, Richmond County, New York, 37247, USA
Listed on 2026-10-18
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
Location: New York
USA - Remote
Full time
R28231
As a global leader in cybersecurity, Crowd Strike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.
Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.
We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?
The future of cybersecurity starts with you.
Crowd Strike is establishing a Fin Ops Data Analytics practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The Fin Ops Data Analytics Engineer II will contribute to building and implementing cost optimization solutions while developing expertise in cloud cost management and Fin Ops practices.
What You'll Do:Technical Development
Implement cost monitoring and alerting solutions across cloud platforms under senior guidance
Develop scripts and automation tools to support cost optimization workflows
Assist in building cost allocation and tagging implementations for accurate cost attribution
Create and maintain cost optimization dashboards and reporting tools
Support integration efforts between cloud billing APIs and internal systems
Contribute to tooling development that supports Fin Ops processes across product and platform groups
Help implement cost guardrails and automated policies to prevent cost overruns
Assist in developing cost data collection and processing pipelines
Support technical documentation creation for cost-efficient infrastructure patterns
Participate in code reviews and technical design discussions
Work closely with senior engineers to learn Fin Ops best practices and cost optimization techniques
Collaborate with product engineering teams to understand cost optimization opportunities
Participate in Fin Ops Working Group meetings to gain cross-functional perspective
Contribute to research on new cost optimization tools and techniques
Support Infrastructure Foundations Program technical initiatives
Monitor and maintain existing cost management tools and systems
Assist in troubleshooting cost-related technical issues
Help implement and test cost optimization recommendations
Support data quality initiatives for cost reporting accuracy
Participate in on-call rotation for cost management systems
Required Qualifications
Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status).
Bachelor's degree in Computer Science, Engineering, or related technical field
3+ years of software engineering experience
Solid programming skills in Python, Go, or similar languages
Experience with at least one major cloud platform (AWS, Azure, or GCP)
Basic understanding of cloud infrastructure and services
Familiarity with version control…
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