Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global cybersecurity company that protects organizations through an AI-native security platform. The FinOps Data Analytics Engineer role supports cost monitoring, optimization, allocation, automation, reporting, and cloud billing integrations across product and platform groups while collaborating with senior engineers and cross-functional teams.
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
Skills
- **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
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Eligibility for bonuses
- Equity grants
- Health insurance
- 401k
- Paid time off
Company Overview