Site Reliability Engineer - TikTok Recommendation Architecture

TIKTOK PTE. LTD.; Singapore; Presencial; SGD 120 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Career growth opportunity

Flat organization

Resumo da oferta

TikTok is seeking a Site Reliability Engineer for the Recommendation Architecture team to optimize large-scale TikTok Recommendation System availability and performance. The role focuses on DevOps, automation, and collaboration with software engineers to ensure reliable, scalable services.

Ideal candidates have a strong background in distributed systems, Linux-based operations, and practical programming in Shell/Python/Perl/Go/C++. 3+ years of relevant experience is expected.

Qualificações

• Bachelor's degree or above in computer science, software engineering, or a related field.
• Operation experience of large-scale systems, familiar with system operation skills on Linux and network.
• Good programming experience with at least one of Shell/Python/Perl/Go/C++.
• Expertise in analyzing, and troubleshooting large-scale distributed systems.
• At least 3 years of relevant experience.

Responsabilidades

• Reliability and operation optimization for large-scale TikTok Recommendation System.
• Continuous integration and delivery of core services, improving automation and stability.
• Cloud platformization and resource optimization for large-scale clusters.
• Collaborate with software engineers to design and implement DevOps solutions.
• Develop software solutions and perform testing and validation procedures.
• Work with hardware engineers to integrate hardware and software systems and define performance requirements.

Conhecimentos

Shell/Python/Perl/Go/C++

Linux

Distributed systems

Formação académica

Bachelor's degree in CS/Software Eng or related

Descrição da oferta de emprego

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job highlights

• Career growth opportunity
• Flat organization

Responsibilities

About The Team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

On the SRE team of Recommendation Architecture, you'll have the opportunity to sharpen your expertise in coding, performance analysis, large-scale system operation, and get heavily involved in the process of hardware/capacity decision-making.

SRE ensures that the recommendation services at ByteDance have the highest level of availability, as well as creating highly automated systems and pipelines.

• Reliability and operation optimization for large-scale clusters of TikTok 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.

Qualifications

• Bachelor's degree or above in computer science, software engineering, or a related field
• Operation experience of large-scale systems, familiar with system operation skills on Linux and network.
• Good programming experience with at least one of the following languages: Shell/Python/Perl/Go/C++.
• Expertise in analyzing, and troubleshooting large-scale distributed systems.
• At least 3 years of relevant experience.