Responsibilities
- Design and evolve architectures for ultra-large-scale Kubernetes clusters.
- Improve the performance and stability of Kubernetes control systems in big data and machine learning scenarios.
- Establish and optimize Service Level Objectives for Kubernetes clusters.
- Analyze latency and performance bottlenecks, propose solutions, and implement them in production.
- Build observability systems and data warehouses to improve issue diagnosis and cluster performance optimization.
Requirements
- Be completing or have recently completed a bachelor’s degree in software development, computer science, computer engineering, or a related discipline.
- Experience developing or contributing to cloud-native open-source projects is preferred.
- Hands-on experience with containerized applications through internships, coursework, or personal projects is preferred.
- Familiarity with Prometheus, Grafana, or distributed tracing systems is preferred.
- Knowledge of big data or machine learning workflows in a Kubernetes environment is preferred.
- Be able to commit to an onboarding date by the end of the year and clearly state availability and graduation date on the resume.
Tech Stack
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.