Staff Engineer – Platform Data & Services

November 10

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HighLevel

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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.

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

📋 Description

• 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