About this role
Job title: DevOps Engineer
About the Role We are building a FinOps program and need a capable DevOps engineer to own the tooling that makes it real. You will build durable, automated pipelines and reporting for cloud spend, with a path toward AI-enabled cost analysis.
What You'll Do
- Build and own automated data pipelines that ingest AWS cost and usage data into a quarriable analytics layer; land cost data in S3, catalog with Glue, and enable Athena-based querying at scale.
- Model data with consistent dimensions (project, product, service, hosting area, cost center) to keep it reusable as the program grows to cover colocation and fixed assets; automate tagging governance by auditing tag coherence and policy compliance, surfacing drift and remediation-ready reporting.
- Build reporting for multiple audiences and scopes—from team-level details to executive rollups; deliver templated, parameterized self-service reports so Finance can pull what they need without touching Cost Explorer or the AWS console.
- Support the AWS Cloud Financial Management assessment and operationalize its outputs; help AI-enable our cost data so we can explore spend and optimization directly in Claude.
What We're Looking For
- 4-7 years of experience in DevOps, Data Engineering, Platform Engineering, or Cloud Infrastructure roles.
- Strong SQL skills with hands-on experience designing, building, and maintaining ETL/ELT data pipelines.
- Practical AWS expertise, including Cost & Usage Reports, Athena, Glue, S3, IAM, and familiarity with AWS Cost Explorer.
- Experience with IaC using Terraform or AWS CloudFormation.
- Proficiency in Python for automation, scripting, and data processing.
- Strong data modeling skills and ability to design scalable, reusable data models.
- Experience with BI and reporting tools (e.g., Amazon QuickSight, Power BI, Tableau, Looker).
- Automation-first mindset focused on reliable, repeatable processes over manual workflows.
- Understanding of finance fundamentals, including CAPEX vs. OPEX, budgeting cycles, and cost allocation methodologies.
- Comfortable leveraging AI/LLM tools to improve productivity and workflows; experience with Claude is a strong advantage.
Nice to Have
- FinOps Foundation certification; AWS certifications; CUDOS / Cloud Intelligence Dashboards.
- Experience with colocation or fixed-asset cost exposure.
- Ad-tech or high-volume infrastructure background.
Compensation & Benefits
- The global benefits package includes health insurance, flexible work options (remote and hybrid), and training opportunities for professional and personal growth; internal conferences and meetups; support and mentorship; referral and work anniversary programs with additional vacation days.