[Hiring] Lead Engineer - Platform @HighLevel

Role Description

• Lead the architecture and delivery of industry solutions, from understanding the customer problem with product and domain experts, through early experiments and validation, to production launch at scale.
• Make pragmatic speed vs. scale trade-offs: ship lean versions to validate with customers, then harden what works into reusable platform capabilities.
• Design a reusable "industry layer": configurable objects, workflows, templates, and automations that can be packaged per vertical without forking the core product.
• Build integrations with industry platforms such as food delivery services (Uber Eats, DoorDash), payment providers (Stripe), and booking and ticketing systems.
• Define standards for how industry features are versioned, rolled out behind feature flags, and rolled back across thousands of accounts and sub-accounts.
• Build reliable event-driven systems for real-time industry workflows such as orders, reservations, check-ins, and payments.
• Collaborate with core platform teams to expose safe, well-documented extension points that industry solutions depend on.
• Lead and mentor a team of engineers, working day to day with product and design, through technical direction, code reviews, and a strong focus on quality and reliability.
• Drive observability, performance, and error handling across industry workflows and integrations.
• Work with product and go-to-market teams to identify the highest-impact opportunities in each vertical, and measure success by customer adoption and time-to-value.

Qualifications

• 7+ years of backend or platform engineering experience, with 2+ years in a technical leadership role.
• Deep experience designing configurable, multi-tenant platforms: metadata-driven data models, workflow engines, or templating systems.
• A track record of taking products or major features from 0→1 into production, including knowing when to move fast and when to invest in scale.
• A track record of entering unfamiliar domains, learning them quickly from experts, and translating that into solid technical designs.
• Strong product and customer sense: you connect technical decisions to business outcomes, not just system design.
• Experience building third-party integrations, including OAuth flows, signed webhooks, data sync, and error recovery.
• Strong understanding of security, scalability, and data isolation in multi-tenant SaaS environments.
• Excellent communication skills with both engineers and non-technical domain stakeholders.

Bonus Points

• Experience with vertical SaaS or industry clouds, such as Salesforce Industries, Toast, or Eventbrite.
• Hands-on work with food delivery, POS, reservation, or event ticketing integrations.
• Experience with payment flows such as Stripe Connect, deposits, and refunds.
• Familiarity with scoped permissions, event hooks, and audit trails.
• Experience packaging features as installable apps or templates for customers and partners.

Our Tech Stack

• Backend: TypeScript on Node.js with NestJS, building REST APIs documented with OpenAPI/Swagger.
• Frontend: Vue 3, TypeScript, Pinia and Tailwind, shipped as module-federated micro-frontends.
• Data and messaging: Firestore (including MongoDB-compatible mode via Mongoose), Elasticsearch and Redis, with event-driven workers on Google Cloud Pub/Sub and Cloud Tasks.
• Cloud and delivery: Google Cloud Platform, Docker and Kubernetes (GKE) with Istio, and CI/CD on Jenkins and GitHub Actions.
• Observability and quality: Prometheus, Cloud Logging and Sentry, and testing with Jest, Vitest and Playwright.

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 recordkeeping, 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.

We encourage you to review our policies before submitting your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.