Staff Engineer – Platform Engineering

🕒 May 13

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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

• Architect, develop, and maintain reusable frameworks, SDKs, and core platform services using Node.js and GoLang • Build scalable, cloud-native solutions leveraging Google Cloud Platform (GCP) • Design and optimize systems that efficiently handle large-scale data and high-throughput workloads • Contribute to high-performance service architectures capable of handling massive scale with strong reliability and observability standards • Lead technical design reviews, establish engineering best practices, and mentor senior engineers across teams • Drive architectural decisions for scalability, performance, security, and maintainability • Partner cross-functionally with product, infrastructure, and engineering teams to deliver reliable platform capabilities • Improve developer productivity by building internal tooling, shared libraries, and scalable engineering foundations • Lead initiatives that leverage AI effectively across engineering workflows, including code generation, testing, developer tooling, incident analysis, and SDLC automation • Build and evolve systems, platforms, and engineering processes that improve SDLC efficiency, release velocity, reliability, and developer experience • Take ownership of critical platform initiatives from architecture through production operations

🎯 Requirements

• 9+ years of software engineering experience with demonstrated success building distributed systems or large-scale backend services • Hands-on experience designing, optimizing, and scaling large-scale backend systems and data-intensive applications • Strong understanding of distributed systems, microservices, APIs, CI/CD pipelines, and observability frameworks • Experience leveraging AI-assisted engineering workflows and building systems/processes that improve SDLC effectiveness and engineering productivity • Proven ability to lead technically, navigate ambiguity, and deliver impactful engineering outcomes • Experience operating systems at high scale with a strong focus on performance, reliability, and resiliency • Strong problem-solving skills with the ability to simplify complex technical challenges