About HighLevel
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. We are proud to support a global and growing community of over 2 million businesses, from marketing agencies to entrepreneurs to small businesses and beyond. Our platform empowers users across industries to streamline operations, drive growth, and crush their goals.
HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages 470 terabytes of data distributed across five databases, operates with a network of over 250 micro-services, 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
Every month, 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. 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 looking for a Lead Software Engineer with deep expertise in Node.js, MongoDB, and distributed systems, combined with a strong focus on platform stability, scalability, reliability, and long-term technical excellence. You’ll be joining our WhatsApp Platform team, which builds and maintains core capabilities such as WhatsApp messaging (BSP), WhatsApp calling, WhatsApp flows, number provisioning, meta compliance workflows, and platform integrations that power communication for thousands of businesses.
Our WhatsApp platform currently processes over 6 million messages per day, and we are on a strategic journey to scale this to 20 million messages per day, aiming to become the leading BSP(Business Service Provider) in the industry. Similarly, our platform supports 25,000+ active WhatsApp subscriptions, and we’re aggressively scaling this to 100,000+ subscriptions as we expand our global footprint. This growth trajectory demands a leader who can architect highly scalable systems, anticipate platform bottlenecks, and design infrastructure capable of supporting massive scale with predictable performance.
This role requires someone who is comfortable working on high-scale, mission-critical platform components. You’ll take ownership of challenges related to system stability, performance optimization, distributed architecture improvements, operational efficiency, cost management, and security hardening across our WhatsApp infrastructure. You will drive architectural decisions, lead complex problem solving, reduce long-standing tech debt, and ensure our services remain resilient, observable, and compliant with WhatsApp/Facebook platform requirements.
As a technical leader, you will collaborate closely with product, infrastructure, and cross-functional engineering teams to design robust APIs, improve end-to-end delivery pipelines, enhance monitoring and alerting, streamline platform operations, and shape the long-term technical roadmap for the entire WhatsApp ecosystem within HighLevel. You will play a pivotal role in scaling our platform to the next order of magnitude while delivering exceptional reliability and performance for our global customer base.
Responsibilities
Stabilize & Scale the Platform: Tackle systemic bottlenecks, improve fault tolerance, and ensure high availability for mission-critical phone services.
Efficiency & Performance: Optimize resource usage (CPU, memory, network) to handle millions of operations while reducing cloud costs.
Tech Debt & Modernization: Lead long-term refactoring efforts, deprecate legacy systems, and introduce scalable patterns.
Security & Compliance: Strengthen data protection, access controls, and auditability across the platform.
Developer Velocity: Improve tooling, observability, and automation to accelerate engineering workflows.
Cross-Team Collaboration: Work with product, infrastructure, and other engineering teams to align on platform priorities.
Mentorship & Leadership: Guide engineers, set architectural standards, and drive the platform roadmap.
Requirements
- 6+ years of backend engineering experience, including designing fault-tolerant systems and working on high-scale platforms.
- Deep expertise in distributed systems, event-driven architectures, and asynchronous job processingStrong experience with relational and NoSQL data models (especially with complex temporal data)
- Proven track record of architecting complex systems and delivering scalable, high-performance web apps in production.
- Strong understanding of software design patterns, API design, and microservices architecture in a multi-tenant environment.
- Skilled in guiding technical architecture, making high-impact engineering decisions, and mentoring fellow engineers.
- Experience with code quality practices, automated testing, CI/CD pipelines, and dev tooling optimization.
- Excellent problem-solving skills, with clear and collaborative communication
across
Preferred Experience
Experience with AI Tools and contributions to open-source tools, internal platforms or engineering blogs
Experience with modern front-end frameworks (e.g., React, Vue, Angular) and building full-stack web applications.
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 record keeping, 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.
