ByteDance

1 day 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: 23 hours agoStatus: Live

Job Summary

Build and evolve large-scale Kubernetes-based compute infrastructure used to power hundreds of clusters globally, supporting microservices, big data, and demanding AI/LLM workloads. Improve Kubernetes performance across control and data planes, define SLOs, and implement observability and data-driven tuning. Develop intelligent unified resource management and scheduling, and standardize container runtime environments to boost isolation, reliability, and cost efficiency for heterogeneous compute.

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 performance, scalability, and resilience across microservices, big data, and AI/LLM workloads.
•Improve Kubernetes system performance across control and data planes, 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 environments.
•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 publications may be an exception).
•Solid understanding of 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.
•Knowledge of big data or machine learning workflows in a Kubernetes environment, or experience contributing to cloud-native open-source projects (preferred).

Experience:3+ yearsCloud-nativeKubernetesDistributed systemsAI/MLOpen source

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

Tech Stack:KubernetesServerlessKubewharfRayAiBrixDockerPythonGoC++RustJavaPrometheusGrafanaDistributed tracingMicroservicesContainersCPUGPUPower

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

1 day 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: 23 hours 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 performance, scalability, and resilience across microservices, big data, and AI/LLM workloads.
•Improve Kubernetes system performance across control and data planes, 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 environments.
•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 publications may be an exception).
•Solid understanding of 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.
•Knowledge of big data or machine learning workflows in a Kubernetes environment, or experience contributing to cloud-native open-source projects (preferred).

Experience:3+ yearsCloud-nativeKubernetesDistributed systemsAI/MLOpen source

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

Tech Stack:KubernetesServerlessKubewharfRayAiBrixDockerPythonGoC++RustJavaPrometheusGrafanaDistributed tracingMicroservicesContainersCPUGPUPower

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