Graduate Backend Engineer: Cloud-Native & Kubernetes

ByteDance

Singapore

On-site

SGD 60,000 - 90,000

Full time

8 days ago

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Job summary

ByteDance is hiring graduates to join our team building cloud-native infrastructure that powers all products. You will work on Kubernetes cluster management, runtime resource optimization, multi-cloud solutions, and cluster stability.

Successful candidates must commit to an onboarding date by the end of the year; please state your availability and graduation date in your resume. Responsibilities include designing architectures for ultra-large Kubernetes clusters, optimizing SLOs, and improving

Qualifications

  • Bachelor's degree in software development, CS, or related field.
  • Hands-on cloud-native project experience encouraged.
  • Familiarity with observability tools such as Prometheus and Grafana.
  • Knowledge of big data or ML workflows in Kubernetes.

Responsibilities

  • Build and optimize large-scale Kubernetes clusters.
  • Design architectures for ultra-large Kubernetes clusters.
  • Improve performance and stability of control systems in big data and ML contexts.
  • Define and enhance Kubernetes SLOs.
  • Establish and optimize SLOs for Kubernetes clusters.
  • Analyze end-to-end latency, identify bottlenecks, and implement improvements.
  • Develop observability for Kubernetes clusters.
  • Create observability data warehouses and drive data-driven optimization.

Skills

Kubernetes
Cloud-native
Observability
Prometheus
Grafana
Distributed tracing
Big data workflows

Education

Bachelor's degree in Software Development/CS/EE or related

Tools

Prometheus
Grafana

Job description

ByteDance is hiring graduates to join our team building cloud-native infrastructure that powers all products. You will work on Kubernetes cluster management, runtime resource optimization, multi-cloud solutions, and cluster stability.

Successful candidates must commit to an onboarding date by the end of the year; please state your availability and graduation date in your resume. Responsibilities include designing architectures for ultra-large Kubernetes clusters, optimizing SLOs, and improving

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