HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. The role involves designing and building highly reliable, scalable systems, optimizing customer experiences, and driving organizational growth through effective feature delivery and collaboration with product and data teams.
Responsibilities:
- Design and build highly reliable, scalable systems to ensure mission-critical applications maintain near 100% uptime
- Proactively identify, debug, and eliminate performance bottlenecks and production issues
- Drive incident prevention through root cause analysis and systemic fixes
- Own end-to-end feature delivery from design to production
- Establish and enforce high coding standards, review practices, and clean architecture principles
- Practice and promote Test-Driven Development (TDD)
- Collaborate with product and data teams to measure, analyze, and optimize conversion funnels
- Contribute to long-term technical vision and architectural decisions
- Drive cross-team collaboration to improve platform-wide engineering standards
- Identify opportunities to implement AI-driven bots, intelligent workflows, and automation systems to improve customer productivity and internal efficiency
- Integrate AI capabilities within Onboarding, Launchpad, and Global Search to enhance user experience and personalization
Requirements:
- 5+ years of full-stack engineering experience with significant backend/system design exposure
- Deep expertise in distributed systems and event-driven architecture
- Strong experience with asynchronous job processing and background workers
- Solid understanding of both relational and NoSQL databases (MongoDB, ClickHouse preferred)
- Strong experience with modern frontend frameworks (Vue.js, React, or Angular)
- Ability to design and optimize interactive dashboards and data-heavy UIs
- Excellent understanding of software design patterns, API design, and microservices
- Hands-on experience with CI/CD pipelines, TDD, and automated testing frameworks
- Strong performance tuning, profiling, and optimization skills (especially Node.js)
- Experience with caching, rate limiting, and queuing systems
- Strong knowledge of Elasticsearch for search, indexing, and analytics
- Experience using Redis for caching, session storage, or background queues
- Strong communication skills with the ability to work cross-functionally
- Ability to make clear architectural trade-offs and guide team decision-making
- Contributions to open-source tools, internal platforms or engineering blogs
- Exposure to AI-driven content tools or automation systems