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Engineering Manager II - Platform Backend

GoHighLevel· Platform
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Hybrid (India)Employee IndiaPosted 2w ago

About the role

Engineering Manager II to lead the Platform Services team responsible for shared infrastructure, internal tooling, and core services. Hands-on with architecture and code while owning outcomes, delivery, and platform reliability at enterprise scale.

Responsibilities

  • Architecture & Scale: Own and evolve distributed systems architecture for platform services, ensuring they're reliable, extensible, and performant under enterprise-scale load.
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Qualifications

  • 10+ years of overall software engineering experience, including at least 2+ years in a Software Development Manager (or equivalent) role.
  • Expert-level proficiency in either Go, Python or Nodejs.
  • Prior experience managing a platform team, or having worked as an individual contributor on platform teams for at least 3+ years, at enterprise scale.
  • Strong hands-on orientation - comfortable reviewing code, debugging production issues, and going deep on architecture, not just managing processes.
  • Deep, practical experience with GCP and/or AWS service management - provisioning, scaling, IAM, networking, and cost governance.
  • Demonstrated track record of driving cost optimization initiatives in an enterprise cloud environment, with measurable results.
  • Strong understanding of distributed systems architecture - consistency, availability, fault tolerance, scaling patterns, and trade-offs at scale.
  • Strong observability fundamentals - hands-on experience with tools like Prometheus, Grafana, ELK/OpenSearch, or equivalent, and a track record of building observability into systems from the ground up.
  • A data-driven approach to decision-making, prioritization, and performance reporting.
  • Proven experience in roadmap planning, estimation, and delivering complex initiatives on time.
  • Strong people management skills - hiring, mentoring, performance management - combined with the ability to collaborate effectively across engineering, product, and security teams.
  • Excellent verbal and written communication skills, with the ability to influence both technical and non-technical stakeholders.
  • AI-first mindset - actively using AI tools in engineering workflows in recent years; experience building or integrating agent-driven systems is a strong plus.

Skills

Required:Go, Python, or Node.jsDistributed systemsCloud infrastructure (GCP/AWS)Observability (Prometheus, Grafana, ELK/OpenSearch)People managementData-driven decision making
Last updated Oct 21, 2026. Interested? Apply on the company site.

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