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

Description

  • Design systems that interact efficiently with large-scale data using ElasticSearch, Google Firestore, MongoDB Atlas, ClickHouse, and Redis.
  • Design, configure, and optimize large-scale clusters of Postgres, MongoDB, ElasticSearch, and ClickHouse at TB–PB scale.
  • Contribute to high-performance service architecture capable of handling terabytes of data.
  • Instrument, benchmark, and tune query paths, indexing, memory and CPU usage, and storage layouts to achieve sub-second latency.
  • Develop and maintain reusable frameworks, SDKs, and core platform services in Node.js and Go.
  • Lead design reviews, establish engineering best practices, and mentor senior engineers.
  • Collaborate with product and platform teams to define data-access patterns, enforce SLAs, and review system design.
  • Partner with multiple teams to deliver reliable, secure, and maintainable platform capabilities.
  • Establish governance for backup and restore, disaster recovery, security, and compliance across AWS, GCP, and Azure.
  • Drive architecture, performance, and reliability improvements for mission-critical data platforms.

Requirements

  • 7+ years of overall software engineering experience.
  • Proven success in distributed systems or large-scale backend services.
  • Extensive experience configuring, tuning, and operating large-scale managed databases handling TB–PB data volumes and billions of records.
  • Hands-on experience designing, optimizing, and scaling systems using ElasticSearch, Firestore, MongoDB, ClickHouse, and Redis.
  • Proven mastery of any programming language with clean, testable code.
  • Proven ability to lead technically, navigate ambiguity, and deliver impactful results.
  • Deep understanding of distributed systems principles, including CAP, consistency, consensus, and observability best practices.
  • Experience with CI/CD, containers such as Docker and Kubernetes, and IaC tools such as Terraform and Ansible for database automation.
  • Solid understanding of SQL fundamentals; prior experience with relational engines is a plus.
  • Nice to have: leadership of multi-region or hybrid-cloud data platforms.
  • Nice to have: expertise in ClickHouse-based real-time analytics or ElasticSearch at scale.
  • Nice to have: hands-on experience with streaming or ETL frameworks such as PubSub, Kafka, Pulsar, Spark, or Flink.

Benefits

  • Remote-first work environment.
  • Opportunity to work on a platform serving over 1 million businesses globally.
  • Exposure to a large-scale data environment with billions of API hits and message events daily.
  • Work on mission-critical systems with significant technical ownership and impact.

Interested in this position?

Apply directly on the company website

Apply Now

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