Lead DevOps Engineer

About HighLevel:

HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, from marketing agencies to entrepreneurs to small businesses and beyond. Our platform empowers users across industries to streamline operations, drive growth, and crush their goals.

HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages 470 terabytes of data distributed across five databases, operates with a network of over 250 micro-services, and supports over 1 million domain names.

Our People

With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

Our Impact

Every month, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.

Learn more about us on our YouTube Channel or Blog Posts

About the Role:

We are looking for a Lead DevOps Engineer (Cloud Engineer) - L4 to drive visibility, efficiency, and savings across our multi-cloud infrastructure. You will lead efforts to measure and reduce CPO (Cost Per Operation), help map infrastructure cost to product usage and revenue, and work closely with engineering teams to optimise their cloud footprints across GCP, AWS and many more.

Responsibilities:

• Cloud Cost Optimization: Design and implement strategies to reduce operational costs across GCP, AWS, Firebase, and managed services like MongoDB Atlas and Elastic.co
• Cost Observability: Build and maintain cost dashboards (using DoiT, GCP BigQuery, AWS Cost Explorer, etc.) to track spend across cloud providers and services at the product, team, and project level
• CPO Analysis: Define and maintain Cost per Operation (CPO) metrics per product/service; collaborate with product owners to align infra cost with revenue generation
• Multi-Cloud Governance: Set up policies, guardrails, budgets, and alerts to prevent cost overruns and enforce efficient resource usage across Kubernetes clusters and cloud services
• Automation & Tooling: Develop automation scripts (using Python, Bash, or Terraform) to detect idle resources, right-size workloads, and enforce tagging strategies
• Billing Analysis: Break down cloud bills by team, sub_team, project, and service using label-based and usage-based filtering; provide actionable insights and recommendations
• Collaboration: Partner with finance, DevOps, platform, and product teams to tie infrastructure cost back to product growth and engineering impact
• Cloud Architecture: Provide guidance on designing cost-efficient cloud-native systems and help teams adopt best practices for storage, compute, and networking usage
  
  

Requirements:

• Experience: 5+ years in Cloud Engineering roles with a focus on cost optimization
• Cloud Expertise: 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
• Cost Tools: Strong working knowledge of DoiT Cloud Analytics, GCP Billing Export, AWS CUR (Cost & Usage Reports), and BigQuery
• Scripting & Automation: Proficient in Python, Bash, and automation frameworks for cost cleanup and reporting
• Data-Driven: Comfortable querying and visualising cloud billing data to derive unit economics (e.g., cost per user, per API call, per deployment)
• Kubernetes Knowledge: Familiar with cost management in Kubernetes (e.g., node cost allocation, workload optimization, spot/preemptible usage)
• Communication: Ability to translate complex cost insights into actionable plans for engineering and business stakeholders
  
  

EEO Statement:

At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.