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Sr. Backend Engineer (Golang/Distributed Systems) - US/Canada

Pack.com
CompanyPack.com
CategoryEngineering
LocationFlorida, United States
RemoteRemote
EmploymentFull-time
LevelSenior
SalaryNot stated by the employer
Posted10 Aug 2026
Last verified11 Aug 2026
SourceEmployer ATS (workable)
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Description
The Mission We are looking for a battle-tested Senior Backend Engineer who thrives in high-velocity, 0-to-1 startup environments and builds distributed systems with extreme ownership. This is not an enterprise role for someone who works behind heavy layers of management or hides behind ticket boards. We are scaling a high-throughput, event-driven platform built on Golang, Node.js, Kafka, and GCP , and we need an engineer who can own features end-to-end—from initial system design to production deployment in Kubernetes. You must bring deep, real-world experience handling high-concurrency event streams and complex data layers. If you have a true startup builder's grit, take pride in high-impact coding exposure, and have the hands-on technical chops to conquer rigorous architectural assessments, we want to build with you. Key Responsibilities Core Distributed Backend Architecture: Design, write, and maintain high-throughput backend microservices utilizing Golang as your primary language, backed by Node.js (TypeScript) . Event-Driven & Kafka Mastery: Own and evolve our event-streaming infrastructure using Apache Kafka , handling complex partition strategies, message-ordering edge cases, and asynchronous workflows under heavy load. Database & In-Memory Performance: Architect, scale, and optimize core data layers with heavy reliance on Redis for caching/pub-sub and MongoDB for flexible document indexing. Production Deployment & Cloud Alignment: Deploy and manage your services within Google Cloud Platform (GCP) and Kubernetes (K8s) environments, taking complete ownership of service reliability. 0-to-1 Feature Execution: Rapidly translate ambiguous product requirements into clean, scalable RESTful and GraphQL APIs without waiting for hand-holding. Algorithmic & Quantitative Problem Solving: Solve complex backend calculations natively within business logic (e.g., gaming mechanics, payout engines, or financial transaction loops).