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Software Engineer - Backend

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: HighLevel
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, DevOps, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer - Backend

This role leads the evolution of our massive real-time messaging platform, powering billions of messages across SMS, Email, Whats App, and more. You'll improve core delivery, retry, and storage systems across Node.js, Firestore, Mongo, and Click House, while shaping backend architecture and patterns. Operating at large scale, 50+ workloads, thousands of pods, and event‑driven pipelines, you'll make our infrastructure easier to operate, safer to change, and built to scale.

Responsibilities
  • You write clean, observable, and testable backend code.
  • Architect and scale backend systems for message ingestion, delivery, storage, and retries.
  • Lead re‑architecture efforts to improve reliability, latency, and observability.
  • Drive infra decisions across GCP, Kubernetes, Pub/Sub, Cloud Tasks, and custom queueing models.
  • Own core services: delivery guarantees, message deduplication, state transitions, retry semantics.
  • Partner with the platform and SRE teams to ensure autoscaling, fault tolerance, and production readiness.
  • Guide API boundaries, system interactions, and contracts across services.
  • Mentor engineers in distributed systems, data models, and real‑world scale.
  • Own incidents, root cause, recovery, and prevention, not just alerts.
Requirements
  • 7+ years in backend engineering; proven experience scaling systems with massive throughput.
  • Deep expertise in databases:
    Firestore, Mongo

    DB, Elastic Search, Click House.
  • Hands‑on experience with Kubernetes, GCP (or AWS), and event‑driven infra.
  • Clear understanding of distributed systems principles: CAP tradeoffs, consistency, rate limiting, retries, idempotency.
  • Strong API and system boundary design in microservice ecosystems.
  • Crisp communication, technical leadership without posturing.
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