About HighLevel:

HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.

To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.

Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People

With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact

Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.

Learn more about us on our YouTube Channel or Blog Posts

About the Role

As a Software Development Engineer on the Platform Data team, you will be a key contributor to the foundation of HighLevel’s platform. You will implement and optimize shared frameworks, libraries, and services that handle data at scale. This role is ideal for engineers who excel at hands-on development, troubleshooting, and are passionate about enhancing the reliability and performance of data-intensive systems.

Job Overview:

We operate mission-critical data platforms built on SQL (Postgres), MongoDB, ElasticSearch, and ClickHouse. We are looking for a strong Software Engineer with practical experience in cloud-managed database systems and proficiency in coding/scripting to ensure the reliability, performance, and operational excellence of our data components.

Key Responsibilities:

1. Data System Implementation, Optimization, and Reliability (Database Focus):

Implement and optimize data access patterns for efficient interaction with large-scale data using ElasticSearch, Google Firestore, MongoDB Atlas, ClickHouse, and Redis.

Monitor, troubleshoot, and tune existing database instances (SQL, MongoDB, ElasticSearch, ClickHouse) to ensure sub-second latencies and operational stability.

Contribute to the design and implementation of high-performance components that handle terabytes of data.

Focus on instrumentation, benchmarking, and optimizing query paths, indexing, memory/CPU usage, and storage layouts.

2. Framework and Service Development:

Develop and maintain reusable frameworks, SDKs, and platform services in programming languages, with a focus on Node.js and GoLang.

Actively participate in design reviews and adhere to engineering best practices to maintain a high technical standard.

3. Cross-Functional Collaboration and Operational Support:

Collaborate with product and platform teams to implement best-practice data-access patterns and uphold SLAs.

Partner with multiple teams to deliver reliable, secure, and maintainable data platform capabilities.

Support the operational health of database environments, including contributing to processes for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments.

Required Skills & Qualifications:

4+ years of software engineering experience, with success in backend services and data-intensive systems.

Mandatory proficiency in Node.js or GoLang for scripting and debugging within our codebase environment.

Hands-on experience optimizing and scaling systems using cloud-managed databases (e.g., MongoDB Atlas) such as ElasticSearch, Firestore, MongoDB, ClickHouse, and Redis.

SDE 2: Proven experience with at least one large-scale database technology.

SDE 3: Proficiency across multiple database technologies (e.g., MongoDB, ClickHouse, ElasticSearch).

Proven mastery of a programming language with clean, testable code.

Solid grasp of SQL fundamentals; prior work with relational engines is a plus.

Understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices.

Familiarity with CI/CD, containers (Docker/Kubernetes), and IaC (Terraform/Ansible) for database automation.

Preferred Qualifications

Experience with ClickHouse-based real-time analytics or ElasticSearch-powered search at scale.

Hands-on with streaming or ETL frameworks (PubSub, Kafka, Pulsar, Spark, Flink).

Exposure to AI concepts for database problem-solving is a plus.