Cloud Operations Engineer

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.

Loopback Health is currently looking for a Cloud Operation Engineer to help us manage, analyze, and optimize cloud and compute costs across our Azure, Databricks, and Snowflake environments, with potential exposure to multi-cloud platforms such as AWS or GCP.

This role sits within the Data Operations group and will collaborate closely with Engineering, Infrastructure, and Finance teams to drive visibility and accountability in cloud costs, including the identification and remediation of inefficient workloads (SQL, python) and data pipelines that inflate costs.

Ideal candidates will have hands‑on experience in cloud cost management, billing analytics, and operational optimization — and who is comfortable diving deep into both data and process improvement.

• Monitor and analyze cloud spend across Azure, Databricks, and Snowflake (if applicable).
• Build cost tracking and reporting dashboards using native tools (Azure Cost Management, Databricks Billing APIs & Dashboards, Power BI) and SQL/Python.
• Develop tagging and cost‑allocation frameworks to support chargeback and forecasting models.
• Partner with Engineering and Infrastructure to optimize compute usage, storage tiers, and licensing.
• Recommend query tuning, partitioning and caching strategies to improve performance and reduce cost‑per‑job on Databricks.
• Support monthly budget reviews and identify trends, anomalies, and optimization opportunities.
• Manage governance policies for resource provisioning and cost alerts.
• Partner with Information Security to ensure Fin Ops practices and cost controls align with SOC2 and HIPAA compliance requirements.
• Provide insights into Fin Ops maturity and recommend process improvements.

Required:

• 5–7 years of experience in Fin Ops, Data Operations, Cloud Cost Analysis, or related roles.
• Hands‑on experience with Azure Cost Management, Databricks, and Windows infrastructure.
• Solid analytical and SQL skills; comfort with scripting in Python or Power Shell.
• Familiarity with tagging strategies, cost attribution, and usage‑based billing.
• Strong understanding of cloud services (compute, storage, networking) and pricing models.
• Ability to communicate technical findings to financial and non‑technical audiences.

Preferred:

• Experience in healthcare data platforms or regulated data environments (HIPAA).
• Exposure to Snowflake and data warehouse cost optimization.
• Familiarity with Databricks Dashboards or Power BI or Looker for cost reporting.
• Fin Ops Foundation certification or training a plus.

• Detail‑oriented and data‑driven.
• Proactive in identifying inefficiencies and suggesting pragmatic solutions.
• Comfortable working in a cross‑functional, data‑intensive environment.
• Strong communication and documentation skills.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.