The posting, in Gong's own words
archived Oct 20, 2026Gong 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. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Senior Backend Application Infrastructure Engineer, you’ll build and evolve the core libraries, frameworks, and services that power Gong’s Python platform at scale. You’ll work on backend systems, distributed architectures, data infrastructure, and event-driven systems, enabling engineering teams to build reliable and scalable products efficiently. We’re looking for a strong Python engineer with deep systems understanding who enjoys solving complex technical challenges and building the foundations behind large-scale production environments.
You’ll Own:
Designing, building, and maintaining core Python infrastructure libraries and frameworks used across engineering teams. Developing and supporting high-scale microservices and the shared foundations they run on. Building reusable infrastructure capabilities for data access, messaging, observability, and service communication. Driving engineering standards around performance, observability, security, maintainability, and production readiness. Driving CI/CD processes, deployment automation, and cloud-native operational practices.
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You’ll Solve:
Performance, concurrency, and scalability challenges across mission-critical Python services. Data and infrastructure challenges across PostgreSQL, MongoDB, OpenSearch, Redis, Kafka, and SQS. Production issues that require deep understanding of runtime behavior, such as memory, CPU, I/O, and process and thread behavior. The growing complexity of modern software ecosystems by building infrastructure that guides developers toward best practices while preserving flexibility where needed. Bridging architectural and operational gaps between Backend, , SRE, and Product Engineering teams.