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Gong.io

AI-driven revenue intelligence from conversations

Senior Backend Application Infrastructure Engineer - Python, Application Infrastructure

Backend EngineeringUpdated on Nov 13
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • Have 7 or more years of experience building large-scale backend systems in production environments.
  • Have strong hands-on experience with Python and modern Python service frameworks.
  • Have experience building and maintaining shared libraries, including API design, versioning, backward compatibility, and packaging.
  • Have a deep understanding of Python concurrency models, including threading, multiprocessing, asyncio, and the Global Interpreter Lock, and know when to use each.
  • Have a solid understanding of operating system fundamentals, including processes, memory, networking, and input/output, and how they affect services in production.
  • Have hands-on experience with relational and non-relational data sources, including connection management and performance at scale.
  • Have proven experience designing and operating microservices and event-driven architectures.
  • Have strong experience with cloud infrastructure such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
  • Understand how platform foundations balance flexibility with consistency in multi-technology environments.
  • Be able to independently drive technical solutions end-to-end in a fast-paced environment.
  • Collaborate effectively across teams and communicate technical concepts clearly.
  • Hold a bachelor's degree in Computer Science, Software Engineering, or a related technical field.

Responsibilities

  • Design, build, and maintain core Python infrastructure libraries and frameworks used across engineering teams.
  • Develop and support high-scale microservices and the shared foundations they run on.
  • Build reusable infrastructure capabilities for data access, messaging, observability, and service communication.
  • Drive engineering standards around performance, observability, security, maintainability, and production readiness.
  • Drive continuous integration and continuous delivery processes, deployment automation, and cloud-native operational practices.
  • Solve performance, concurrency, and scalability challenges across mission-critical Python services.
  • Address data and infrastructure challenges across PostgreSQL, MongoDB, OpenSearch, Redis, Kafka, and Amazon Simple Queue Service.
  • Resolve production issues requiring deep understanding of runtime behavior, including memory, CPU, input/output, and process and thread behavior.
  • Build infrastructure that helps developers follow best practices while retaining necessary flexibility in complex software ecosystems.
  • Bridge architectural and operational gaps between Backend, DevOps, Site Reliability Engineering, and Product Engineering teams.

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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