Lead Engineer – Platform Performance, Reliability

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🕒 April 1

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

SaaS • Marketing • B2B

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Improve performance and reduce latency: • Come up with architectural planning for implementing new features around custom objects • Diagnose and remove bottlenecks in backend services, APIs, and message flows • Profile Node.js services (CPU, heap, event loop) and rewrite hot paths for efficiency • Strengthen platform reliability: • Improve resilience via batching, caching, pooling, concurrency controls, and backpressure • Harden services against cascading failures and dependency slowness • Establish rate-limiting, queueing, and circuit-breaker patterns that scale under load • Optimize database queries, indexing strategies, denormalization, and read/write paths • Collaborate on infrastructure & operations: • Work with SRE and Infra teams on autoscaling, capacity planning, quotas, and workload efficiency • Contribute to runtime configuration improvements (GKE, Node.js, Redis, Pub/Sub, Firestore, ClickHouse) • Participate in performance incident reviews and drive actionable root-cause fixes • Build long-lasting performance frameworks: • Define best practices for high-performance microservices, distributed patterns, and observability • Create reusable performance tooling, dashboards, and profiling workflows • Mentor engineers on writing scalable code, interpreting metrics, and designing reliable services

🎯 Requirements

• 7+ years of backend engineering experience focused on large-scale systems. • Strong experience with Node.js internals (event loop, memory model, async behavior) • Proficiency in diagnosing performance issues using CPU/heap profilers, tracing, and metrics • Solid understanding of Microservices, Distributed systems, High-throughput APIs, Caching strategies, Queuing/Backpressure patterns & Rate limiting/load balancing • Experience with MongoDB, Postgres/MySQL, Firestore, Redis, ClickHouse, or similar DBs • Familiarity with Kubernetes, GCP/AWS, and observability tooling (Grafana, Prometheus, OpenTelemetry) • Possess strong communication skills & are able to explain bottlenecks clearly without finger-pointing • A mindset that treats every millisecond, query, and allocation as something to optimize thoughtfully.

🏖️ Benefits

• 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. • #LI-Remote #LI-HB1