Site Reliability Engineer - Data Infrastructure; San Jose

Position: Site Reliability Engineer - Data Infrastructure (San Jose)
Our data infrastructure Site Reliability Engineering (SRE) team is a pioneer in innovation. We seamlessly merge software development and infrastructure operations to design, build, and manage large-scale, highly distributed systems. We take pride in overseeing one of the industry's most extensive cloud infrastructures. As software development evolves, building systems from a mix of components has become the new standard. In this era, SRE takes a central role.

This role demands the ability to design, develop, and operate these components, transforming them into cloud-managed, scalable, and reliable elements. Our professionals play a critical role as connectors, ensuring the seamless integration of these diverse components to deliver high-performing systems. Our dynamic SRE field is about actively shaping the future of technology, not just keeping pace with it. We contribute significantly to the next chapter of data infrastructure.

We're currently in the process of building global teams around the world. Join us today and embark on this transformative journey! Responsibilities:

- Participate in and enhance the complete service lifecycle, from inception and design, through development, capacity planning, launch reviews, deployment, operation, and refinement.

- Design and implement software platforms and monitoring frameworks to govern service-oriented architecture (SOA) efficiently, automatically, and intelligently.

- Develop and manage components of cloud-managed data infrastructure, encompassing technologies such as Kubernetes, Redis, MySQL, Flink, and more.

- Establish sustainable mechanisms for scaling systems, such as automation, to drive enhancements in reliability, efficiency, and velocity.

- Provide sustainable user support, manage incident responses, and conduct blameless postmortems as part of our ongoing efforts to improve our systems.

Minimum Qualifications
• Bachelor's degree in Computer Science or a related technical field with 2+ years of experience
• Experience programming in one of the following

Languages:

C, C++, Java, Python, Go, and Rust
• Familiar with Unix/Linux system internals, networking, and distributed systems

Preferred Qualifications
• Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, Open Stack, Hadoop, Spark, Flink, etc.
• Experience in designing and analyzing large-scale distributed systems
• Strong skills in problem solving and communication