Lead DevOps Engineer

🕒 April 29

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HighLevel

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

SaaS • Marketing • B2B

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Drive visibility, efficiency, and savings across multi-cloud infrastructure • Design and implement strategies to reduce operational costs across GCP, AWS, Firebase, and managed services • Build and maintain cost dashboards to track spend across cloud providers • Define and maintain Cost per Operation (CPO) metrics; collaborate with product owners • Set up policies, guardrails, budgets, and alerts to prevent cost overruns • Develop automation scripts to detect idle resources, right-size workloads • Break down cloud bills by team, project, and service; provide actionable insights • Partner with finance, DevOps, platform, and product teams • Provide guidance on designing cost-efficient cloud-native systems

🎯 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

• EEO Statement: The company is an Equal Opportunity Employer.

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