5 backend software intern jobs at 5 companies in Bell, CA
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后端开发(社交互动方向)实习生 - TikTok直播
Shenzhen or Beijing or Shanghai or Hangzhou or Guangzhou or Los Angeles or Singapore or New York City or London or Dublin or Paris or Berlin or Dubai or Jakarta or Seoul or Tokyo
OnsiteInternship
ByteDance: Developing AI-driven content platforms and mobile applications.
Current bachelor's student or above, preferably in computer science; proficient in at least one programming language; strong foundations in algorithms, operating systems, networks, databases, and software engineering.
Staff Software Engineer, Platform Services - Game Tech Group, Anti-Cheat
Los Angeles, California, United States
$193k-$269k/yrOnsiteFull Time
Riot Games: Developing and publishing competitive multiplayer video games.
Staff-level experience building backend platforms and internal tools; strong backend/distributed systems skills (AWS, Docker, Kubernetes); experience with Golang, React, Node.js, TypeScript; API design, production debugging, and strong communication.
Senior Software Engineer - AI, CoCounsel International
Eagan or Frisco or New York City or Ann Arbor or San Francisco or Los Angeles or Irvine or McLean or Washington
$110k-$204k/yrHybridFull Time
Thomson ReutersNASDAQ: TRI: Provides professional software, data, and news services globally.
4+ YOE4+ years backend engineering experience with Python, FastAPI, PostgreSQL, AWS; production agentic AI and LLM integration experience; strong debugging, architecture, and collaboration skills.
Neros Technologies: Designs and manufactures American-made high-performance drones for defense.
8+ YOE8+ years software engineering experience with backend/platform/internal tools work; strong coding, API and integration design, production software delivery, cross-functional collaboration, and onsite factory support.
Esri: Global leader in geographic information system (GIS) software.
8+ YOE8–15+ years software engineering experience with leadership of internal and/or outsourced teams; strong judgment across backend, data pipelines, APIs, cloud, release discipline, QA, and productization of AI; ability to recruit and partner with founder.