Staff Engineer - Courses

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 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 We’re looking for a Staff Software Engineer to join our Courses - Analytics Team, which powers analytics and feedback for thousands of Creators in our Courses product rendering learning platform for over a million monthly active users fostering interaction, learning, and community engagement. By streaming petabytes of video data and supporting white-labeled, customized mobile apps, we enable creators to deliver branded, seamless experiences to their audiences on both web and mobile platforms. As a Staff Engineer, you’ll lead the technical direction of the platform, solve complex distributed system problems, work with TBs of data, build powerful analytics engine powering insightful metrics for the creators, learners, optimize data pipelines across different DBs and mentor 10+ engineers across squads of 5 different products. You’ll partner closely with PMs, designers, infra, and security teams to drive long-term architecture, elevate engineering standards, and ensure seamless user experiences at scale. Responsibilities

Own architecture and scaling decisions for key Course platform components (e.g., Analytics Engine, Insights Platform, Data Ingestion Pipelines)

Lead design and execution of cross-cutting initiatives to improve reliability, latency, and throughput across time-sensitive APIs and workflows

Work hands-on with technologies like NestJS, Firestore, MongoDB, MySQL, Redis, Queuing Systems, Data Warehousing Systems and Service Mesh-based microservicesDrive observability and resilience by evolving our monitoring, alerting (Prometheus/Grafana), and incident response strategies

Leverage LLMs and AI tools to write, refactor, test, and debug code efficiently — while implementing guardrails to reduce hallucination and boost reliability.

Partner with product, infra, and security teams to ensure data integrity, access control, and compliance across phone servicesMentor and guide a team of high-performing engineers, encouraging technical excellence and career growth

Stay on the bleeding edge of AI/LLM technology, development best practices, and distributed architecture patterns — and bring that knowledge back to the team.

Participate in design reviews, deep dives, and on-call rotations to support a high-bar culture of accountability and operational excellence

8+ years of backend engineering experience, including designing fault-tolerant systems and working on high-scale platformsDeep expertise in distributed systems, event-driven architectures, and asynchronous job processing

Proven experience optimizing availability, performance, and reliability in real-world systems under load

Strong experience with relational and NoSQL data models (especially with complex transactional data)

Experience with Data Analytics Pipelines, OLAP, OLTP databases

Familiarity with monitoring, SLOs, and root-cause analysis in production environments

Familiarity with hallucination mitigation strategies (e.g., code constraints, test scaffolding, embeddings, context injection). 

Excellent communication and cross-functional collaboration skillsA pragmatic, hands-on leader who balances long-term vision with iterative execution