ByteDance

2 days ago

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: 35 minutes agoStatus: Live

Job Summary

Build and evolve Kubernetes-based compute infrastructure that powers large-scale clusters for AI/LLM workloads. Improve Kubernetes control/data-plane performance, optimize pod lifecycle and orchestration, and establish observability with SLOs to drive production tuning. Design unified resource management and scheduling for node and cluster-level compute, and standardize container runtime environments for isolation, reliability, and cost efficiency. Contribute to cloud-native open-source initiatives across the K8s ecosystem.

Location: San Jose

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 diverse workloads, including microservices, big data, and AI/LLM applications.
•Improve Kubernetes system performance across control and data planes by optimizing pod lifecycle, resource orchestration, and throughput under high load.
•Build observability and performance analysis frameworks, define Kubernetes 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 large-scale cloud-native compute resources.
•Standardize and optimize container runtime environments to improve workload isolation, reliability, and resource efficiency across heterogeneous compute environments.

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 publication records may substitute.
•Solid understanding of at least one: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, or developing 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.
•Hands-on experience in cloud-native environments (e.g., big data or ML workflows in Kubernetes) and familiarity with observability tools is preferred.

Experience:AI/LLMCloud-nativeKubernetesOpen-sourceBig dataMachine learning

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

Tech Stack:KubernetesK8sServerlessDockerRayPrometheusGrafanaDistributed tracingUnix/LinuxPythonGoC++RustJavaKubewharfAiBrixMicroservicesCPUGPUPower

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

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: 35 minutes agoStatus: Live

Job Summary

Location: San Jose

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 diverse workloads, including microservices, big data, and AI/LLM applications.
•Improve Kubernetes system performance across control and data planes by optimizing pod lifecycle, resource orchestration, and throughput under high load.
•Build observability and performance analysis frameworks, define Kubernetes 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 large-scale cloud-native compute resources.
•Standardize and optimize container runtime environments to improve workload isolation, reliability, and resource efficiency across heterogeneous compute environments.

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 publication records may substitute.
•Solid understanding of at least one: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, or developing 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.
•Hands-on experience in cloud-native environments (e.g., big data or ML workflows in Kubernetes) and familiarity with observability tools is preferred.

Experience:AI/LLMCloud-nativeKubernetesOpen-sourceBig dataMachine learning

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

Tech Stack:KubernetesK8sServerlessDockerRayPrometheusGrafanaDistributed tracingUnix/LinuxPythonGoC++RustJavaKubewharfAiBrixMicroservicesCPUGPUPower

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