Software Development Engineer Graduate (Network Monitoring & Alerts) - 2026 Start (BS/MS)

About the team ByteDance Networking brings together innovative ideas and technologies from network architecture, software defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyper-scale data-center networking solutions that power several of the most popular apps of the world such as Douyin and TikTok which serve hundreds of millions of users around the globe. ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable software development and/or network operation experiences in data center networking at massive scale. Job Description: We are seeking a Software Development Engineer, Network Monitoring & Alerts who will leverage advanced network technologies to monitor the real-time status of data center networks, swiftly identify and locate network faults, and enhance network availability and efficiency. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: - Develop and improve datacenter network monitoring services, and optimize network data collection, processing and visualization tools. - Create network alert systems using trained learning algorithms to provide real-time and accurate anomaly detection and fault location. - Collaborate with network engineers to develop automated network fault diagnosis systems and provide troubleshooting analysis services for the business. - Develop a network data platform based on network metadata, providing metrics that accurately reflect the status and trends of the network in real-time.