Cloud Site Reliability Engineer - Cloud and System

Responsibilities

Our Infrastructure Engineering team supports the company's fast growth by building and operating hyper-scale datacenters, managing the life cycle of server fleet, providing cloud solutions, and developing various infrastructure services and making sure they are scalable and are reliable.

Responsibilities
- Build, expand, and operate global infrastructures, including large-scale systems in public and private clouds, data centers, and content delivery networks.
- Build tools, automation, visualizations, and monitors to facilitate the operation and optimization of the global infrastructure.
- Work in a fast-paced environment. Participate in technical operations and rotations in response to performance and reliability issues.
- Help improve the whole lifecycle of infrastructure services from inception and design throughout development to deployment, user support, and refinement.

Qualifications

Minimum Qualification(s):
- Master's degree (or Bachelor's degree) with 3+ years of experience in Computer Engineering, Electrical Engineering, Computer Science, or related major.
- 3+ years of experience working with Unix/Linux systems from kernel to shell and beyond, with experience working with system libraries, file systems, and client-server protocols.
- 2+ years of experience working on Public Cloud Platforms, familiar with basic components of cloud products. Experience in building solutions with AWS, Google, OCI, or other cloud services.
- 2+ years experience in one or more programming languages such as Java, C++, Go, or scripting experience in Shell and Python.
- 2+ years experience with essential system-level apps, like DNS, APT, LDAP, Nginx, CI/CD, Ansible, Packer, etc.

Preferred Qualification(s):
- Experience in system and data security.
- Self-driven and capable of coping with ambiguity and moving projects from concept to delivery.
- Strong analytical skills and the ability to solve real-world problems in a fast-moving environment.
- Experience in designing, analyzing, and building automation and tools for large-scale systems
- Strong communication and collaboration skills
- The passion for solving problems
- Patience for supporting cases