About HighLevel:
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers 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, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
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
As of mid 2025, 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 each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
About the Role:
As a Lead Engineer on the Platform Data team, you will play a pivotal role in shaping the foundation of HighLevel’s platform. You’ll design and develop shared frameworks, libraries, and core services that power products at scale. This role is ideal for engineers who thrive in ambiguity, enjoy solving large-scale engineering challenges, and are passionate about creating systems that enable massive impact across teams.
Requirements:
5+ Years of overall experience
Experience in designing, operating, and troubleshooting production database deployments.
Extensive experience configuring, tuning, and operating large-scale managed databases handling TB–PB data volumes and billions of records.
Hands-on experience with at least three of SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse, including data modeling, indexing, and performance tuning.
Proven mastery of any programming language with clean, testable codeDeep understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices.
Experience with CI/CD, containers (Docker/Kubernetes), and IaC (Terraform/Ansible) for database automation.
Solid grasp of SQL fundamentals; prior work with relational engines is a plus.
Responsibilities:
Design, configure, and optimize large-scale clusters of SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse (TB–PB scale, billions of records).
Develop automation and service tooling for provisioning, monitoring, and self-healing of managed database services.
Collaborate with product and platform teams to embed best-practice data-access patterns, enforce SLAs, and review overall system design.
Instrument, benchmark, and tune query paths, indexing, memory/CPU usage, and storage layouts to ensure sub-second latencies.
Establish governance for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments.
Nice to Have:
Leadership of multi-region or hybrid-cloud data platforms.
Expertise in ClickHouse-based real-time analytics or ElasticSearch-powered search at scale.
Hands-on with streaming or ETL frameworks (PubSub, Kafka, Pulsar, Spark, Flink).
EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record-keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
