Lead Software Engineer - Platform Data Team
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 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.
Job Overview:
We operate mission-critical data platforms built on SQL(Postgres), MongoDB, ElasticSearch, and ClickHouse. We need a lead-level Software Engineer with deep expertise in these systems and strong coding / system-design skills to drive architecture, performance, and reliability.
Requirements:
- 7+ Years of overall experience
- Software engineering experience, with demonstrated 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 modern databases such as ElasticSearch, Firestore, MongoDB, ClickHouse, and Redis
- Proven mastery of any programming language with clean, testable codeProven ability to lead technically, navigate ambiguity, and deliver impactful results
- Deep understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices.
- Experiencewith 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 systems that efficiently interact with large-scale data using ElasticSearch, Google Firestore, MongoDB Atlas, ClickHouse, and Redis.
- Design, configure, and optimize large-scale clusters of SQL (Postgres), MongoDB, ElasticSearch, and ClickHouse (TB-PB scale, billions of records).Contribute to high-performance service architecture capable of handling terabytes of data.
- Instrument, benchmark, and tune query paths, indexing, memory/CPU usage, and storage layouts to ensure sub-second latencies.
- Develop, and maintain reusable frameworks, SDKs, and core platform services in programming languages like Node.js and GoLang.
- Lead design reviews, establish best practices, and mentor senior engineers to raise technical standards across the organization.
- Collaborate with product and platform teams to embed best-practice data-access patterns, enforce SLAs, and review overall system design.
- Partner with multiple teams to deliver reliable, secure, and maintainable platform capabilities.
- Establish governance for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments.
1. Data System Design, Optimization, and Scaling (Database Focus):
2. Framework, Service Development, and Engineering Leadership:
3. Cross-Functional Collaboration and Governance:
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).