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Lead DevOps Engineer

1 day, 3 hours ago
India
Full-time
Lead
DevOps Engineer
DevOps and Infrastructure
AWS Bash ClickHouse EC2 Firebase GCP Kubernetes Microservices Python Terraform
Apply Now
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised
View All Jobs 104

Description

  • Design and implement cloud cost optimization strategies across GCP, AWS, Firebase, and managed services such as MongoDB Atlas and Elastic.co.
  • Build and maintain cost dashboards and reporting using tools such as DoiT, GCP BigQuery, and AWS Cost Explorer.
  • Define and manage Cost per Operation (CPO) metrics at the product and service level and align infrastructure spend with revenue.
  • Set up governance policies, guardrails, budgets, and alerts to prevent cloud cost overruns across Kubernetes clusters and cloud services.
  • Develop automation scripts and tooling to identify idle resources, right-size workloads, and enforce tagging and cleanup standards.
  • Analyze cloud bills by team, sub_team, project, and service using label-based and usage-based filtering.
  • Partner with finance, DevOps, platform, and product teams to connect infrastructure costs to business growth and engineering impact.
  • Guide teams on cost-efficient cloud architecture and best practices for storage, compute, and networking usage.

Requirements

  • 7+ years of experience in cloud engineering roles with a focus on cost optimization.
  • Deep hands-on experience with GCP services including BigQuery, GKE, Firebase, and Pub/Sub.
  • Deep hands-on experience with AWS services including EC2, S3, Lambda, and EKS.
  • Experience with managed services such as MongoDB Atlas, Elastic.co, and ClickHouse.
  • Strong working knowledge of DoiT Cloud Analytics, GCP Billing Export, AWS CUR, and BigQuery.
  • Proficiency in Python, Bash, and automation frameworks for cost cleanup and reporting.
  • Comfort querying and visualizing cloud billing data to derive unit economics such as cost per user, per API call, and per deployment.
  • Familiarity with Kubernetes cost management, including node cost allocation, workload optimization, and spot/preemptible usage.
  • Ability to translate complex cost insights into actionable plans for engineering and business stakeholders.

Interested in this position?

Apply directly on the company website

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