Engineer II - FinOps Data Analytics
- Company
- CrowdStrike
- Location
- Remote
- Work type
- Remote · Remote
- Posted
- 2026-08-07
Job description
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
Engineering Support
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
Learning and Growth
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
Operational Excellence
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
What You'll Need:
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 systems (Git) and collaborative development workflows
Experience with monitoring tools and basic observability concepts
Understanding of containerization technologies (Docker)
Preferred Qualifications
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
Key Competencies
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
Growth Opportunities
Mentorship from senior FinOps engineers and technical leads
Exposure to cross-functional collaboration with Finance and Business teams
Opportunity to develop expertise in emerging FinOps domain
Career progression path within the growing FinOps practice
Access to cloud platform training and certification programs
AI Tooling
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Skills Required
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)
Proven experience utilizing AI technologies to enhance decision-making and workflows
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