Lead Engineer - FullStack ( AI-Native & Marketplace Integrations)
About Us 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 15 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 domain names. 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 We’re seeking a seasoned Full Stack Developer to join our CRM team — someone who thrives in a fast-paced environment where AI-driven development, intelligent tooling, and high-scale systems are the norm. You’ll work with bleeding-edge tools like Cursor, adopt principles of the Model Context Protocol (MCP), and integrate with third-party marketplaces to help extend the capabilities of our platform Responsibilities: AI-Native Development: Use Cursor, GitHub Copilot, and other AI-enhanced tools to accelerate development workflows Context-Driven Engineering with MCP: Leverage the Model Context Protocol (MCP) to manage model-aware context 3rd-Party Marketplace Integrations: Design and build scalable integrations with external APIs and marketplace ecosystems Front Backend Development: Build robust CRM features using Vue.js and Node.js Real-Time Systems: Architect event-based applications powered by Kafka, RabbitMQ, ActiveMQ Data Engineering at Scale: Work with ElasticSearch, MongoDB, and related tooling Team Collaboration: Collaborate with cross-functional teams to ship features Developer Excellence: Contribute to a high-quality engineering culture Requirements: 5+ years of full time software development experience Experienced in scaling products from early-stage to high-growth revenue milestones Proven track record of leading engineering teams and driving product development through key inflection points Experience with Node.js and Vue.js Understanding of ElasticSearch, database sharding, autoscaling Experience with Pub-Sub, Kafka, RabbitMQ, ActiveMQ Proficient in MongoDB Comfortable using AI-powered dev tools like Cursor Familiar with Git, CI/CD, agile methodologies Excellent communication and teamwork skills Bachelor's degree or equivalent experience Nice to Have: Experience with third-party marketplaces (e.g., Salesforce, HubSpot, Zapier) Open source/FOSS contributions Familiarity with AI application patterns, LLM context management Exposure to plugin architectures or white-label platforms 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 recordkeeping, 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. Originally posted on Himalayas