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# FinOps Engineer

- **Company:** Everforth Apex
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Cloud Storage, Database Queries, Python (Programming Language), Cloud Services, Systems Integration, Git Flow, Information Technology, Cloud Optimization, Serverless Computing
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/56582d94-96a9-4188-a00c-e3fb2b3b71ac

## About the Role

Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Experience: Practical experience in cloud cost optimization, with a proven track record of implementing direct savings rather than just monitoring and reporting.

Technical Skills: Proficiency in Python for writing automation and integrations, working knowledge of Amazon Web Services core services, experience with cost tools such as Cost Explorer, and familiarity with Git-based workflows.

Preferred Qualifications

 * Experience utilizing Cloudability Premium and Turbonomic for automated cloud optimization
 * Strong SQL skills, particularly querying cost and usage tables with Athena
 * Familiarity with cloud environment deployment templates and chargeback reporting
 * Comprehensive understanding of the complete FinOps lifecycle

## Description

This position focuses on cloud financial management and optimization within an Amazon Web Services environment. The selected candidate will collaborate closely with FinOps Analysts to mature the engineering and automation side of the cloud operations infrastructure. The role involves solving enterprise-level optimization opportunities and implementing direct savings across the organization., * Take ownership of FinOps automation initiatives and advance the engineering capabilities of the team

 * Automate the cleanup of unused virtual private cloud endpoints and coordinate merge requests across application teams
 * Drive Kinesis on-demand optimization and enforce cloud storage lifecycle policies, utilizing automation to flag areas for efficiency
 * Lead enterprise-level architecture migrations for cloud workloads and serverless functions
 * Develop Python-based automation and integrations deployed through infrastructure templates
 * Build cloud cost dashboards and reporting mechanisms to track resource usage back to consumers
 * Query cost and usage data tables to analyze trends and identify saving opportunities
 * Formulate and implement resource tagging standards through automated solutions