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Lead Backend Engineer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: HighLevel
Full Time position
Listed on 2026-01-03
Job specializations:
  • Engineering
    Systems Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

We’re looking for a Lead Engineer to join our Calendar Platform Builder Team, which is building the foundational infrastructure for the next generation of scheduling systems. This team is on a mission to enable businesses and developers to build flexible booking workflows across diverse industries, from salons and fitness centres to healthcare, education, sales, and rentals. We believe in Configuration over Code, empowering builders to define their scheduling logic, rules, workflows, and availability models without rewriting core logic.

As a Lead Engineer, you’ll help architect and evolve this highly extensible platform. You’ll drive cross‑cutting initiatives, mentor engineers, and build backend components that other teams, partners, and customers rely on to build sophisticated scheduling systems on top of our infrastructure.

Responsibilities
  • Architect and build an importer capable of migrating automation systems reliably and at scale.
  • Parse complex external APIs and transform data into clear, usable structures.
  • Ensure imports are robust, error‑free, and handle bulk operations smoothly.
  • Collaborate with product teams to deliver frictionless migrations.
Requirements
  • 6+ years of experience building and maintaining large‑scale backend systems using Node.js/Nest.js.
  • Strong fundamental engineering skills: architecture, clean code, testing.
  • Demonstrated ability to design and deliver reliable data pipelines and integrations.
  • Experience collaborating across cross‑functional teams, especially with product and design.
  • Strong communication skills and ability to advocate for engineering excellence.
  • Practical experience in reliable error handling at scale.
  • Deep database knowledge (Mongo

    DB, Firestore).
  • Proven experience handling complex API integrations and data transformations.
  • Strong knowledge of queues (Pub/Sub, Redis) and asynchronous processing.
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