Engineer III - Data Analytics (Hybrid)

As a global leader in cybersecurity, CrowdStrike 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 CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers 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. About the Role: CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer III will serve as a leader of this practice, establishing vision and strategy, while ensuring cost efficiency continues beyond our FY27 Cost Reduction Program. This is a hybrid role based out of our office in New York City, NY, CrowdStrike is establishing a FinOps practice to drive sustainable cost management across our fourteen product groups and eleven platform groups. The FinOps Engineer III will serve as a key technical contributor in this practice, implementing cost optimization solutions and building the technical foundation for our cost management capabilities. PLEASE NOTE: This role is hybrid, requiring 2-3 days per week on-site at one of the posted locations. What You'll Do: Technical Implementation Design and implement automated cost monitoring, alerting, and optimization solutions across cloud platforms Develop and maintain cost allocation algorithms and tagging strategies for accurate cost attribution Build integrations between cloud billing APIs and internal cost management systems Create technical documentation and best practices for cost-efficient infrastructure patterns Collaborate with platform teams to implement cost optimization recommendations Engineering Excellence Develop tooling and automation to support FinOps processes across fourteen product groups and eleven platform groups Build dashboards and reporting mechanisms for real-time cost visibility Implement cost guardrails and automated policies to prevent cost overruns Design scalable solutions for cost data collection, processing, and analysis Contribute to the TechOps Analytics Data Solution FinOps requirements Cross-functional Collaboration Partner with product engineering teams to identify and implement cost optimization opportunities Work closely with Infrastructure Foundations Program to align technical solutions with FY27 Cost Reduction Program Support FinOps Working Group with technical expertise and implementation guidance Collaborate with Data Analytics Team on cost data pipeline development Provide technical input for FinOps capability development roadmap Continuous Improvement Research and evaluate new cost optimization tools and techniques Contribute to FinOps governance structures and technical standards Mentor junior engineers on cost-conscious engineering practices Stay current with cloud platform pricing changes and optimization opportunities What You'll Need: Required Qualifications Bachelor's degree in Computer Science, Engineering, or related technical field 5 years of software engineering experience with focus on cloud infrastructure Strong programming skills in Python, Go, or similar languages Deep hands-on experience with cloud platforms (AWS, Azure, GCP) and their cost management tools Experience with infrastructure as code (Terraform, CloudF ... (truncated, view full listing at source)