About the team: The team is responsible for infrastructure systems, including Storage/Computing/DB/Big Data. We aim to be the leading SRE team across the industry. In the SRE team, you will have the opportunity to manage the complex challenges of scale, while using expertise in coding, algorithms, complexity analysis, and large-scale system design. We embrace a culture of diversity, intellectual curiosity, openness, and problem-solving. We also encourage ownership, self-governance and independence to work on various projects, and an environment that provides the support and mentorship needed to learn and grow as an engineer.
Responsibilities:
- Reliability: Ensure the stability of the company's core infrastructure (system high availability and reliability), focus on system performance and capacity, establish O&M (Operation & Maintenance） standards and SOP processes.
- Reliability: Troubleshooting and locating technical issues, collaborate with the technical team to develop and implement system capacity planning, performance testing, anomaly analysis, and fault diagnosis and resolution strategies.
- Efficiency: Research and evaluate large-scale system architectures and technologies, use new tools and technologies to improve existing systems and processes to support business development.
- Efficiency: Design and implement O&M platforms to achieve efficient, automated, and intelligent system maintenance.
- Cost: Develop delivery standards for mass production system scales, from budgeting to resource delivery, to online system capacity assessments, to help the company optimize IT costs.
- Compliance: Design and establish new IDC, design and implement data protection plans to meet standard requirements.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Minimum Qualifications:
- Bachelor's / Master's Degree in Computer Science or related major.
- Solid basic knowledge of computer software, understanding of Linux operating system, storage, network IO and other related principles.
- Familiar with one or more programming languages, such as Python, Go, and Java. Knowledge of design patterns and coding principles is necessary.
- Familiar with Elastic Search
Preferred Qualifications:
- Experience with storage, and relevant system experience with the following: KV, Table, Graph, Redis, MySQL, MongoDB, MQ, and Kafka.
- Experience with computing & big data, and system experience with the following: Kubernetes, Docker/Containers, AIops, Spark, Flink, Function as a service, RPC Framework, and Service Mesh.