Site Reliability Engineer with ByteDance

Singapore

$78K - 156K a year

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Our infrastructure team is seeking experienced site reliability engineers to build globally distributed platform for provisioning and deploying edge services, such as traffic acceleration, CDN cache, gaming, etc. We use Kubernetes to manage on-prem/cloud nodes and build an eco-system around it, including tools for monitoring, alerting, logging, CI/CD, etc. and various services with automated deployment/scaling in order to maximize daily operation efficiencies. On top of the Kubernetes infrastructure, we build a PaaS platform to help deploy and manage global edge services.

Responsibilities:

• Deploy and administrate Kubernetes clusters both on-prem and in cloud (AWS, GCP, etc.).

• Collaborate with software engineers to build enterprise-level platform (PaaS) with cutting-edge Cloud Native Computing Foundation (CNCF) technologies.

• Design, develop, automate, and continuously improve platform services and pipelines, such as monitoring, alerting, logging, tracing, CI/CD, etc.

• Improve Kubernetes system efficiency and debug issues related to networking, storage, scheduling, etc.

• Collaborate with open-source communities to advance Kubernetes and Cloud Native technologies.

Qualifications:

• Bachelor's degree in Computer Engineering, Computer Science, or related fields.

• Experience in Kubernetes administration.

• Experience in Unix/Linux systems from kernel to shell and beyond.

• Experience with Kubernetes CNI deployment and troubleshooting, including (but not limited to) the following CNIs: Cilium, Kube-Router, Calico, Flannel.

• Experience in designing, analyzing, and building automation tools for large scale and complex systems.