HighLevel is seeking a Lead DevOps Engineer to drive visibility, efficiency, and savings across its multi-cloud infrastructure. The successful candidate will lead efforts to measure and reduce CPO, help map infrastructure cost to product usage and revenue, and work closely with engineering teams to optimize their cloud footprints across GCP, AWS, and more.
Requirements
- 7+ years in Cloud Engineering roles with a focus on cost optimization
- Deep hands-on experience with GCP (BigQuery, GKE, Firebase, Pub/Sub), AWS (EC2, S3, Lambda, EKS), and managed services like MongoDB Atlas, Elastic.co, ClickHouse
- Strong working knowledge of DoiT Cloud Analytics, GCP Billing Export, AWS CUR (Cost & Usage Reports), and BigQuery
- Proficient in Python, Bash, and automation frameworks for cost cleanup and reporting
- Comfortable querying and visualizing cloud billing data to derive unit economics (e.g., cost per user, per API call, per deployment)
- Familiar with cost management in Kubernetes (e.g., node cost allocation, workload optimization, spot/preemptible usage)
- Ability to translate complex cost insights into actionable plans for engineering and business stakeholders
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship