ByteDance

2 days ago

Senior Software Engineer - Compute Infrastructure (Cloud Native)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Build and evolve ByteDance’s large-scale, Kubernetes-based compute infrastructure for AI/LLM workloads. You’ll improve Kubernetes performance across control and data planes, create observability and SLO-driven tuning in production, and develop intelligent resource management and scheduling at node and cluster level. The role also drives standardization and optimization of container runtime environments, contributing to open-source infrastructure projects like key Kubernetes initiatives.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and evolve the architecture of large-scale Kubernetes-based infrastructure platforms for microservices, big data, and AI/LLM applications.
•Improve Kubernetes performance across control and data planes by optimizing pod lifecycle, resource orchestration, and throughput under high load.
•Create observability and performance analysis frameworks, define system-level SLOs, and lead data-driven tuning and optimization in production.
•Develop intelligent, unified resource management and scheduling systems at node and cluster level for cloud-native compute environments.
•Standardize and optimize container runtime environments to improve workload isolation, reliability, and resource efficiency across heterogeneous compute systems.

Key Requirements

•B.S./M.S. in Computer Science, Computer Engineering, or related field with 3+ years of relevant industry experience (Ph.D. with strong publications may be an exception).
•Solid understanding of at least one area such as Unix/Linux environments, distributed and parallel systems, high-performance networking, or large-scale software systems.
•Familiarity with container and orchestration technologies such as Docker and Kubernetes.
•Proficiency in at least one major programming language such as Python, Go, C++, Rust, or Java.
•Preferred: knowledge of big data or machine learning workflows in a Kubernetes environment and experience with cloud-native open-source projects.

Experience:3+ yearsCloud-nativeKubernetesDistributed systemsAI/MLOpen source

Education:Master's in Computer Science, Computer Engineering, or related area

Tech Stack:KubernetesDockerServerlessRayKubewharfAiBrixUnix/LinuxPrometheusGrafanaDistributed tracingMicroservicesBig dataCPUGPUPower

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

2 days ago

Senior Software Engineer - Compute Infrastructure (Cloud Native)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design and evolve the architecture of large-scale Kubernetes-based infrastructure platforms for microservices, big data, and AI/LLM applications.
•Improve Kubernetes performance across control and data planes by optimizing pod lifecycle, resource orchestration, and throughput under high load.
•Create observability and performance analysis frameworks, define system-level SLOs, and lead data-driven tuning and optimization in production.
•Develop intelligent, unified resource management and scheduling systems at node and cluster level for cloud-native compute environments.
•Standardize and optimize container runtime environments to improve workload isolation, reliability, and resource efficiency across heterogeneous compute systems.

Key Requirements

•B.S./M.S. in Computer Science, Computer Engineering, or related field with 3+ years of relevant industry experience (Ph.D. with strong publications may be an exception).
•Solid understanding of at least one area such as Unix/Linux environments, distributed and parallel systems, high-performance networking, or large-scale software systems.
•Familiarity with container and orchestration technologies such as Docker and Kubernetes.
•Proficiency in at least one major programming language such as Python, Go, C++, Rust, or Java.
•Preferred: knowledge of big data or machine learning workflows in a Kubernetes environment and experience with cloud-native open-source projects.

Experience:3+ yearsCloud-nativeKubernetesDistributed systemsAI/MLOpen source

Education:Master's in Computer Science, Computer Engineering, or related area

Tech Stack:KubernetesDockerServerlessRayKubewharfAiBrixUnix/LinuxPrometheusGrafanaDistributed tracingMicroservicesBig dataCPUGPUPower

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn