Engineer III - FinOps Data Analytics (Remote)

CrowdStrike is a global cybersecurity company protecting organizations with an AI-native platform. The Engineer III - FinOps Data Analytics role supports the development of cloud cost monitoring, optimization, allocation, reporting, and automation solutions across product and platform groups.

Responsibilities:

• 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 FinOps 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 FinOps best practices and cost optimization techniques
• Collaborate with product engineering teams to understand cost optimization opportunities
• Participate in FinOps 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

Requirements:

• 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 systems (Git) and collaborative development workflows
• Experience with monitoring tools and basic observability concepts
• Understanding of containerization technologies (Docker)
• Strong problem-solving skills and attention to detail
• Eagerness to learn new technologies and domain expertise
• Good communication skills for technical collaboration
• Ability to work effectively in a team environment
• Self-motivated with ability to take ownership of assigned tasks
• Interest in building efficient, cost-conscious systems
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
• Interest in obtaining FinOps Certified Practitioner certification
• Exposure to infrastructure as code tools (Terraform, CloudFormation)
• Basic experience with CI/CD pipelines
• Familiarity with database technologies and SQL
• Understanding of networking and security fundamentals
• Experience with data visualization tools (Grafana, Tableau, etc.)
• Previous exposure to cost optimization or resource management