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Observability Platform Team Lead

Lead the Observability Platform team to define and implement telemetry standards and practices at Gong.

Location
Tel Aviv
Compensation
Not disclosed
Level
lead
Type
full time

Posted by employer 6 days ago

First seen on Joblaze 5 days ago

Last verified on the company career page 1 day ago

Apply at Gong → Save job Scanned from gong.io

What you'll build

  • Define observability strategy and standards
  • Lead OpenTelemetry adoption
  • Own telemetry pipelines and vendors
  • Shape and grow a high-performing team
  • Improve alert quality and reduce alert fatigue

Must have

  • 8+ years of hands-on engineering experience
  • 2+ years leading engineers
  • Deep backend engineering experience
  • Hands-on experience with OpenTelemetry
  • Understanding of SRE fundamentals
  • Bachelor's degree in Computer Science or related field

Nice to have

  • Experience with commercial or open-source observability backends
  • Comfortable on AWS and Kubernetes
  • Knowledge of health signals of common data stores
  • Experience with distributed systems debugging

Role intensity

40% coding

Requirements

Experience
8+ years
Education
Bachelor's degree

Not disclosed in this posting: compensation, work arrangement, visa sponsorship.

Joblaze summary

The Observability Platform Team Lead at Gong is responsible for establishing and refining the telemetry framework that enables engineering teams to monitor and resolve production issues effectively. This role requires expertise in backend engineering, particularly with Java and Spring Boot, as well as hands-on experience with OpenTelemetry and SRE principles. Ideal candidates will have significant experience leading teams and a strong understanding of distributed systems and observability as a product. Gong emphasizes a culture of transparency and operational excellence, making it suitable for those who thrive in collaborative environments.

Joblaze insights

  • Listed 5 days ago — first seen on Joblaze October 29, 2026. Last confirmed on Gong's careers page November 2, 2026.

Quick facts

How much experience is required?
At least 8 years of relevant experience for this Observability Platform Team Lead role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Java, Kafka, Kubernetes, MongoDB, OpenSearch.
What seniority level is this role?
Gong targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Observability Platform Team Lead role at Gong.

From the original posting

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

As an Observability Platform Team Lead, you'll define how Gong sees and understands its production systems. You'll lead the team that builds our telemetry foundation: instrumentation standards, pipelines and tooling that let every engineering team detect, investigate and resolve issues quickly. This role sits where backend engineering meets production operations.

If you're a hands-on backend engineer who has led OpenTelemetry adoption and believes good observability is something you design in, not bolt on, this is your opportunity to shape the practice from the ground up.

You'll Own:

  • Team leadership & mentorship: Shaping and growing a high-performing team, and building a culture of ownership, curiosity and operational excellence.
  • Observability strategy & standards: Defining how services emit logs, metrics and traces, including conventions, defaults and a golden path that teams actually want to use.
  • OpenTelemetry adoption: Leading instrumentation across our Java and Spring Boot services, from SDKs and auto-instrumentation to Collector architecture and context propagation.
  • Telemetry pipelines & vendors: Owning the reliability, scalability and cost efficiency of telemetry pipelines in a multi-vendor environment.

You'll Solve:

  • Signal vs. noise: Turning large volumes of telemetry into actionable insights by improving alert quality, cutting alert fatigue, and keeping cardinality and cost under control.
  • Visibility into the data layer: Defining how we monitor PostgreSQL, MongoDB, OpenSearch, Redis and Kafka, so issues show up before customers notice them.
  • Distributed systems debugging: Making it fast to trace a problem across services, queues and data stores.

You'll Impact:

  • Detection and recovery time: Helping teams find and fix production issues faster, with clear SLIs and SLOs for critical services.
  • Engineering velocity: Providing libraries, templates and self-service tools so product teams get observability by default.
  • Reliability culture: Bringing SRE practices into R&D, including SLOs, error budgets, and healthy on-call.

How You'll Succeed Here:

  • 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. Java & Spring Boot experience is a strong advantage.
  • You have hands-on experience with OpenTelemetry: instrumentation (manual and auto), the collector, OTLP, semantic conventions and trace context propagation.
  • You understand SRE fundamentals: SLIs/SLOs, error budgets, alerting strategy, and incident response.
  • You know the key health signals of common data stores and messaging systems (e.g., PostgreSQL, OpenSearch, Redis, Kafka) and how to monitor them well.
  • You're comfortable on 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 you watch cost as closely as coverage.
  • You hold a Bachelor's degree in Computer Science, Software Engineering, or a related technical field.


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Standard company text repeated across Gong's postings is omitted here.