ByteDance

2 days ago

Site Reliability Engineer - AI Application

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Build and operate reliable AI search and recommendation systems, ensuring core Big Data and online services run normally through capacity planning, stability assurance, and SLA-focused performance optimization. Improve observability by monitoring availability and performance metrics, helping teams quickly diagnose issues—especially around AI search/vector databases. Participate in designing automation for large-scale Viking and AI search clusters and lead governance improvements for high-availability architecture.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Ensure reliability and normal operation of core systems for the AI-driven search and recommendation platform, including capacity planning and stability assurance.
•Monitor availability and performance metrics to improve observability and help development teams quickly locate faults, with emphasis on critical AI search/vector database links.
•Improve reliability, scalability, and service performance optimization to meet core system SLAs.
•Design and implement an automation platform to enable rapid iteration and efficient operation and maintenance of large-scale online Viking and AI search clusters.
•Optimize service governance practices by analyzing performance bottlenecks, troubleshooting issues, and helping upgrade high-availability architecture for AI Search/Viking systems.

Key Requirements

•Bachelor's degree or above in a computer-related field, with more than five years of relevant experience.
•Solid foundation in computer software and understanding of Linux operating systems, storage, and network I/O.
•Familiar with at least one programming language (Python/Go/Java/Shell/Ansible) with moderate development capability and strong operations/maintenance and problem-solving skills.
•Knowledge of cloud infrastructure (AWS/Volcano Engine/Aliyun/GCP); experience with computing/distributed systems is preferred.
•Preferred: algorithmic thinking with good data structures and system design capabilities, plus understanding of AI cloud, large model-related search suggestion, and recommender systems.

Experience:5+ yearsAI searchRecommender systemsDistributed systemsBig data

Education:Bachelor's in computer-related fields

Tech Stack:LinuxPythonGoJavaShellAnsibleAWSVolcano EngineAliyunGCPNginxKubernetesDockerOpenStackHadoopSparkFlink

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

Site Reliability Engineer - AI Application

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 37 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Ensure reliability and normal operation of core systems for the AI-driven search and recommendation platform, including capacity planning and stability assurance.
•Monitor availability and performance metrics to improve observability and help development teams quickly locate faults, with emphasis on critical AI search/vector database links.
•Improve reliability, scalability, and service performance optimization to meet core system SLAs.
•Design and implement an automation platform to enable rapid iteration and efficient operation and maintenance of large-scale online Viking and AI search clusters.
•Optimize service governance practices by analyzing performance bottlenecks, troubleshooting issues, and helping upgrade high-availability architecture for AI Search/Viking systems.

Key Requirements

•Bachelor's degree or above in a computer-related field, with more than five years of relevant experience.
•Solid foundation in computer software and understanding of Linux operating systems, storage, and network I/O.
•Familiar with at least one programming language (Python/Go/Java/Shell/Ansible) with moderate development capability and strong operations/maintenance and problem-solving skills.
•Knowledge of cloud infrastructure (AWS/Volcano Engine/Aliyun/GCP); experience with computing/distributed systems is preferred.
•Preferred: algorithmic thinking with good data structures and system design capabilities, plus understanding of AI cloud, large model-related search suggestion, and recommender systems.

Experience:5+ yearsAI searchRecommender systemsDistributed systemsBig data

Education:Bachelor's in computer-related fields

Tech Stack:LinuxPythonGoJavaShellAnsibleAWSVolcano EngineAliyunGCPNginxKubernetesDockerOpenStackHadoopSparkFlink

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