DevOps Engineer - Data Platform

k 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

• Bachelor's degree in Computer Science or a related technical background involving software/system engineering, or equivalent working experience.
• At least 3 years of production-level experience in either Python, Java, or Go.
• 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.

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.