Site Reliability Engineer - Analytical Database

Responsibilities

About the team
TikTok and affiliate are developing the next-generation high-performance analytical database, with a mission to enable efficient and real-time data-driven decision-making on PB-level data sets. The initial product was forked from Clickhouse, after which large re-architecture had been taken place. The product now not only improves the efficiency of Clickhouse but also fits into the elastic cloud-native infrastructure with better scalability and resource utilization. With years of polishment in the internal EB-level scenarios, we are now ready to serve our business partners via various cloud vendors.

What you will be doing:
- Build tools, automation, monitoring for distributed data platforms running as SaaS and on-premises deployment.
- Collaborate with engineering, infrastructure, security, and product teams to implement DevOps solutions to ensure scalability, reliability of the system.
- Contribute to the architecture, design, and improvement of our DevOps processes.
- 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

Minimum Qualifications:
- Bachelor's degree in Computer Science or a related technical background involving software/system engineering, or equivalent working experience.
- Expertise in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc.
- Expertise in containerization technologies including Docker and Kubernetes.
- Expertise in automating, analyzing, and troubleshooting large-scale distributed systems.
- Experience in building solutions with AWS, Google, Azures, AliCloud or other cloud services.
- Familiar with Unix/Linux operating systems.

Preferred Qualifications:
- 3 years of production-level experience in either Python, Java, or Go.
- 3 years experience in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc.
- 3 years experience in containerization technologies including Docker and Kubernetes.
- 3 years experience in automating, analyzing, and troubleshooting large-scale distributed systems.