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LeadFull-timeReactAngularVueNode.jsMongoDBMicroservicesGitAIAPI
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Lead Engineer to join our Prospecting team at HighLevel, an AI-powered sales and marketing platform. This role involves harnessing cutting-edge technology and AI to identify high-quality leads for agencies, helping them connect with prospects faster and more effectively.
Key Responsibilities
- →Lead the design and development of scalable, high-performance web applications using Node.js, MongoDB, and a modern front-end framework.
- →Own features end-to-end—from architecture and implementation to testing, deployment, and optimization.
- →Architect and maintain modular, pluggable components that can be reused across the platform.
- →Drive technical decision-making across the Reputation Management product, ensuring stability, scalability, and maintainability.
- →Integrate and optimize AI-assisted development tools, enhancing reliability and improving developer productivity.
- →Collaborate closely with cross-functional teams including Product, Design, and AI Research to deliver impactful features.
- →Mentor and support fellow engineers, contributing to a culture of technical excellence.
- →Proactively identify and resolve performance, scalability, and security issues.
Requirements
- ✓Expert-level proficiency in Node.js and MongoDB, with a strong understanding of backend architecture and performance optimization (5+ Years).
- ✓Solid experience with modern front-end frameworks (e.g., React, Vue, Angular) and building full-stack web applications.
- ✓Proven track record of architecting complex systems and shipping scalable, high-performance web apps in production.
- ✓Experience building modular, pluggable UI components for reuse across platforms.
- ✓Strong understanding of software design patterns, API design, and microservices architecture.
- ✓Familiarity with AI-assisted development tools and a passion for pushing the boundaries of AI in software engineering.
- ✓Ability to guide technical architecture, make high-impact decisions, and mentor other engineers.
- ✓Experience with code quality, testing, deployment pipelines, and optimizing dev workflows.
- ✓Excellent problem-solving, communication, and collaboration skills.
