# Engineer III - FinOps Data Analytics (Remote)

Hiring organization: [CrowdStrike](https://career.thegoodapps.co/organizations/crowdstrike)

Canonical page: https://career.thegoodapps.co/jobs/f6ef977f-f1a1-4eda-8d57-ec1958ea041e

Listed on CrowdStrike's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Location: USA - Remote
- Remote: yes
- Salary: 100000 – 145000 USD per year

## Summary

This role builds cost management and optimization systems for a large cybersecurity company processing trillions of daily events. It suits software engineers with cloud platform experience who want to deepen their expertise in FinOps while contributing to infrastructure cost efficiency at scale.

_Our summary, not CrowdStrike's wording._

## Skills named

Amazon Web Services (AWS), AWS CloudFormation, CI/CD, Docker, Git, Go, Grafana, Microsoft Azure, Python, SQL, Tableau, Terraform

## Required

- U.S. citizenship or Green Card/permanent resident status (CJIS clearance eligible)
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 3+ years of software engineering experience
- 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
- Version control systems (Git) and collaborative development workflows
- Monitoring tools and basic observability concepts
- Containerization technologies (Docker)

## Nice to have

- FinOps Certified Practitioner certification
- Infrastructure as code tools (Terraform, CloudFormation)
- CI/CD pipeline experience
- Database technologies and SQL
- Networking and security fundamentals
- Data visualization tools (Grafana, Tableau, etc.)
- Previous cost optimization or resource management exposure
- Experience utilizing AI technologies to enhance decision-making and workflows

Apply on CrowdStrike's site: https://crowdstrike.wd5.myworkdayjobs.com/en-US/crowdstrikecareers/job/USA---Remote/Engineer-II---Data-Analytics--Hybrid-_R28231