
FinOps Engineer - Remote
Apolis · Dallas, TX · Remote
All reasons
In its favour
- Posted 3 days ago
Duration
1 year open-ended Contract (no contract maximum)
Number of Openings
2
Role is remote, candidates can be anywhere in the US but must be able to go onsite quarterly (travel will be covered)
Must be able to work directly on W2 without sponsorship now or in the future
Client is looking to fill 2 openings (either 2 Senior candidates or 1 Senior/1 Mid level candidate)
What we're ideally looking for
Senior level preferred (can consider Mid level)
Infrastructure background (i.e. AWS Cloud Engineer, DevOps Engineer, etc)
Python
Current FinOps Engineer specialty (not looking for a FinOps Analyst, may have a different job title other than "FinOps Engineer”)
AWS CFM (cloud financial management) and optimization such as:
- cost and usage analysis
- Savings Plans and Reserved Instance optimization
- Rightsizing
- Automation
- FinOps reporting
AWS cost tools such as Cost Explorer or Trusted Advisor
Working knowledge of AWS services in scope
VPC endpoints, Kinesis, S3 lifecycle policies, Graviton, tagging
Cloudability (experience with Cloudability Premium version and Turbonomic is a huge plus)
High-Level Individual Duties
- Take over FinOps automation work and mature the engineering side of the team
- Automate cleanup of unused VPC endpoints and create merge requests across app teams
- Drive Kinesis on-demand optimization and S3 lifecycle policy enforcement (incl. supporting the AI agent that flags buckets and opens merge requests)
- Lead enterprise-level Graviton migrations for workloads/Lambdas
- Build automation around cloud tagging standards
- Write Python automation/integrations (e.g., Lambdas deployed through templates)
- Build reporting/dashboards in Cloudability, including AI/token usage tied back to consumers
- Query Athena cost and usage tables as needed
Must-Haves (Concepts & Tools)
- Balanced 50/50 background in AWS engineering and FinOps
- Hands-on cloud cost optimization experience (actually implementing savings, not just reporting)
- Python (hard requirement) for automation and integrations, including AWS Lambda
- AWS cost tools: Cost Explorer, Trusted Advisor
- Cloudability for dashboards/reporting
- Working knowledge of AWS services in scope: VPC endpoints, Kinesis, S3 lifecycle policies, Graviton, tagging
- Comfortable working through merge requests/Git-based workflows across app teams
Nice-to-Haves
- Basic SQL, specifically querying Athena cost and usage (CUR) tables
- Cloudability Premium (automating compute Savings Plans and RI strategies)
- Turbonomic for automated optimization
- Experience across the full FinOps lifecycle
- Experience with AI/token usage tracking and chargeback/showback reporting
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