Site Reliability Engineer - Machine Learning Systems (Singapore) Technology - Backend Singapore[...]

ByteDance; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A global tech company in Singapore is seeking a Site Reliability Engineer for Machine Learning Systems. This role focuses on ensuring efficient operation of ML systems and maintaining stability across various scenarios. Candidates should have a Bachelor's degree in Computer Science and proficiency in programming languages like Go or Python, as well as hands-on experience with Kubernetes. Join a team that values creativity, diversity, and inclusion in its work culture.

Qualifications

• Bachelor's degree or above in Computer Science, Computer Engineering, or related fields.
• Strong proficiency in at least one programming language such as Go, Python, or Shell in a Linux environment.
• More than 1 year of hands-on experience with Kubernetes and containers.

Responsibilities

• Ensure ML systems operate efficiently for large model deployment, training, evaluation, and inference.
• Maintain stability of offline tasks/services across multi-data center and multi-cloud scenarios.
• Manage resource planning, cost, and budget including computing and storage resources.
• Implement global system disaster recovery and enhance operational efficiency.

Skills

Proficiency in Go

Proficiency in Python

Proficiency in Shell

Experience with Kubernetes

Experience with ML distributed systems

Good communication skills

Education

Bachelor’s degree in Computer Science or related fields

Job description

Site Reliability Engineer - Machine Learning Systems (Singapore)

Job Code: A136313A

Responsibilities

• Ensure our ML systems operate efficiently for large model deployment, training, evaluation, and inference.
• Maintain stability of offline tasks/services across multi‑data center, multi‑region, and multi‑cloud scenarios.
• Manage resource planning, cost, and budget, including computing and storage resources.
• Implement global system disaster recovery, cluster machine governance, and enhance business service stability, resource utilization, and operational efficiency.
• Build software tools, products, and systems to monitor and manage ML infrastructure and services efficiently.
• Participate in the global team roster that ensures system and business on‑call support.

Minimum Qualifications

• Bachelor’s degree or above in Computer Science, Computer Engineering, or related fields.
• Strong proficiency in at least one programming language such as Go, Python, or Shell in a Linux environment.
• More than 1 year of hands‑on experience with Kubernetes and containers in operational and maintenance contexts.

Preferred Qualifications

• Experience in operating and maintaining large‑scale ML distributed systems.
• Experience with GPU server operation and maintenance.
• Excellent logical analysis ability, with a strong sense of responsibility, good learning and communication skills, self‑driven and team‑spirit oriented.
• Good documentation principles and habits; ability to write and update workflow and technical documentation on time.

About ByteDance

Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut, and Pico, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and foster an environment that reflects the many communities we reach.