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Lead Engineer - Platform Performance & Reliability

1 hour, 54 minutes ago
India
Full-time
Senior
Backend Engineer
Software Development
AWS ClickHouse Firestore GCP Grafana Kubernetes Microservices MongoDB MySQL Node.js OpenTelemetry PostgreSQL Prometheus Redis
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HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised
View All Jobs 105

Description

  • Plan and implement architectural improvements for new features, including custom objects, with performance in mind.
  • Diagnose and remove bottlenecks in backend services, APIs, and message flows.
  • Profile Node.js services and rewrite hot paths to improve CPU, heap, and event-loop efficiency.
  • Improve platform resilience through batching, caching, pooling, concurrency controls, and backpressure.
  • Harden services against cascading failures and dependency slowness.
  • Design and scale rate-limiting, queueing, and circuit-breaker patterns for high-load systems.
  • Optimize database queries, indexing strategies, denormalization, and read/write paths.
  • Collaborate with SRE and infrastructure teams on autoscaling, capacity planning, quotas, and workload efficiency.
  • Participate in performance incident reviews and drive root-cause fixes.
  • Define best practices, create reusable performance tooling and dashboards, and mentor engineers on scalable and reliable service design.

Requirements

  • 5+ years of backend engineering experience focused on large-scale systems.
  • Strong experience with Node.js internals, including the event loop, memory model, and async behavior.
  • Proficiency with CPU and heap profilers, tracing, and metrics for diagnosing performance issues.
  • Strong understanding of microservices, distributed systems, high-throughput APIs, caching, queuing, backpressure, rate limiting, and load balancing.
  • Experience with MongoDB, Postgres/MySQL, Firestore, Redis, ClickHouse, or similar databases.
  • Familiarity with Kubernetes, GCP/AWS, and observability tools such as Grafana, Prometheus, and OpenTelemetry.
  • Strong communication skills and the ability to explain bottlenecks clearly without finger-pointing.
  • A mindset that treats every millisecond, query, and allocation as something to optimize thoughtfully.
  • Experience with high-traffic Node.js services serving millions of requests per hour is preferred.
  • Familiarity with distributed tracing, tail sampling, RED/USE metrics, and SLO-driven engineering is preferred.
  • Experience preventing and mitigating cascading failures at scale is preferred.
  • Background in runtime optimization, capacity planning, or SRE-style operational excellence is preferred.
  • Contributions to internal performance frameworks, profiling tools, or reliability toolkits are preferred.

Interested in this position?

Apply directly on the company website

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