Senior Site Reliability Engineer: Recommendation Architecture

BYTEDANCE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Career growth

Flat organization

Job summary

ByteDance Singapore is seeking an experienced SRE engineer for the Recommendation Architecture team to ensure reliability of large-scale recommendation services. You will focus on CI/CD, automation, and DevOps solutions to improve R&D efficiency.

The role emphasizes operation optimization for clusters, collaboration with software engineers, and performance-driven development in a demanding, global platform.

Qualifications

• Bachelor's degree or above in computer science, software engineering, or a related field.
• Good programming experience with at least one of the following languages: Shell/Python/Perl/Go/C++.
• At least 3 years of relevant experience.

Responsibilities

• Reliability and operation optimization for large-scale clusters of Recommendation System.
• Continuous integration and delivery of core services, optimizing the efficiency and automation of operation, and improving service stability and R&D efficiency.
• Cloud platformization, resource optimization and SLA guarantee for large-scale clusters.
• Collaboration with software engineer to design and implement DevOps solutions to Improve the efficiency of the entire R&D process.
• Research, design, and develop computer and network software or specialised utility programs.
• Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Skills

Shell

Python

Perl

Go

C++

Education

Bachelor's degree in CS/Software Eng

Job description

ByteDance Singapore is seeking an experienced SRE engineer for the Recommendation Architecture team to ensure reliability of large-scale recommendation services. You will focus on CI/CD, automation, and DevOps solutions to improve R&D efficiency.

The role emphasizes operation optimization for clusters, collaboration with software engineers, and performance-driven development in a demanding, global platform.