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Gong.io

AI-driven revenue intelligence from conversations

Observability Platform Team Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

  • You have 8+ years of hands-on engineering experience, including 2+ years leading engineers, formally or as a tech lead.
  • You have deep, hands-on backend engineering experience building large-scale distributed systems.
  • You have hands-on experience with OpenTelemetry instrumentation (manual and automatic), the Collector, OTLP, semantic conventions, and trace context propagation.
  • You understand SRE fundamentals, including SLIs/SLOs, error budgets, alerting strategy, and incident response.
  • You know the key health signals of common data stores and messaging systems, such as PostgreSQL, OpenSearch, Redis, and Kafka, and how to monitor them well.
  • You are comfortable with AWS and Kubernetes and have worked with commercial or open-source observability backends.
  • You see observability as a product: you gather needs from engineering teams, influence without direct authority, and drive adoption.
  • You balance quick wins with long-term architecture and monitor costs alongside coverage.
  • You hold a Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

Responsibilities

  • Shape and grow a high-performing team and build a culture of ownership, curiosity, and operational excellence.
  • Define service logging, metrics, and tracing conventions, defaults, and an easy-to-adopt golden path.
  • Lead OpenTelemetry instrumentation across Java and Spring Boot services, including SDKs, auto-instrumentation, Collector architecture, and context propagation.
  • Own the reliability, scalability, and cost efficiency of telemetry pipelines in a multi-vendor environment.
  • Improve alert quality, reduce alert fatigue, and control telemetry cardinality and cost.
  • Define monitoring for PostgreSQL, MongoDB, OpenSearch, Redis, and Kafka so issues are detected before customers notice them.
  • Make it faster to trace problems across services, queues, and data stores.
  • Help teams find and fix production issues faster by establishing clear SLIs and SLOs for critical services.
  • Provide libraries, templates, and self-service tools so product teams get observability by default.
  • Bring SRE practices into R&D, including SLOs, error budgets, and healthy on-call.

Desired Qualifications

  • Java and Spring Boot experience is a strong advantage.

About the Company

Gong.io

AI-driven revenue intelligence from conversations

Gong builds a revenue intelligence platform that analyzes every customer interaction to help sales teams win more deals. It records, transcribes, and analyzes calls, video meetings, emails, and chats to surface insights on deal health, sales tactics, and buyer/competitor trends. Using AI, it provides Deal Intelligence, People Intelligence, and Market Intelligence, flags risks, coaching opportunities, and next-best-action recommendations, and integrates with CRM, email, and collaboration tools. The goal is to turn conversations into data-driven actions to improve forecasting, coaching, and go-to-market decisions for mid-to-large enterprises.

Company size
1,001-5,000
Company stage
Series E
Total funding
$586M
Headquarters
San Francisco, CA
Founded
2015

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