Backend Software Engineer Graduate (Foundational Technology) - 2027 Start

• Build and Optimize Large-Scale Kubernetes Clusters;
• Design and evolve system architectures for ultra-large-scale Kubernetes clusters,
• Continuously improve the performance and stability of control systems in scenarios like big data and machine learning.
• Define and Enhance Kubernetes SLOs;
• Establish and optimize Service Level Objectives (SLOs) for Kubernetes clusters,
• Analyze end-to-end latency, identify performance bottlenecks, propose solutions, and implement them in production environments.
• Develop Observability for Kubernetes Clusters;
• Build and enhance observability systems to improve issue diagnosis efficiency,
• Create observability data warehouses and use data-driven approaches to optimize cluster performance.

• Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering, or a related discipline.

• Experience in developing or contributing to cloud-native open-source projects.
• Hands-on project experience with containerized applications through internships, coursework, or personal projects.
• Familiarity with observability tools and frameworks like Prometheus, Grafana, or distributed tracing systems.
• Knowledge of big data or machine learning workflows in a Kubernetes environment.

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If you have any questions, please reach out to us at apac-earlycareers@bytedance.com

Team Introduction Our team is responsible for building ByteDance's cloud-native infrastructure, which powers all of the company's products. We specialize in cutting-edge technologies in areas such as Kubernetes cluster management, runtime resource optimization, multi-cloud and multi-cluster solutions, and cloud-native infrastructure stability. The team has released open-source projects such as Kubebrain and Katalyst, and we are focused on groundbreaking research and development of core technologies around resource pooling and elasticity.