Staff Engineer

Job Description About HighLevel: 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 4 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 hostnames. 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: As a Staff Engineer on the Platform Data & Services 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. Responsibilities: - Architect, develop, and maintain reusable frameworks, SDKs, and core platform services in Node.js and GoLang - Build scalable, cloud-native solutions leveraging Google Cloud Platform (GCP) - Design systems that efficiently interact with large-scale data using ElasticSearch, Google Firestore, MongoDB Atlas, ClickHouse, and Redis - Contribute to high-performance service architecture capable of handling terabytes of data - Lead design reviews, establish best practices, and mentor senior engineers to raise technical standards across the organization - Partner with multiple teams to deliver reliable, secure, and maintainable platform capabilities Requirements: - 8+ years of software engineering experience, with demonstrated success in distributed systems or large-scale backend services - Strong expertise in Node.js, GoLang, and cloud infrastructure (preferably GCP) - Hands-on experience designing, optimizing, and scaling systems using modern databases such as ElasticSearch, Firestore, MongoDB, ClickHouse, and Redis - Strong understanding of microservices, APIs, CI/CD, and observability frameworks - Proven ability to lead technically, navigate ambiguity, and deliver impactful results Good to Have: - Experience building internal platforms or frameworks used by multiple product teams - Familiarity with Kubernetes, service mesh, or developer tooling - Background in high-traffic SaaS environments with focus on scalability and resilience 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.