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Infrastructure Site Reliability Engineer (Entry Level)- USDS

Infrastructure Site Reliability Engineer (Entry Level)- USDS

TikTokSan Jose
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Team Introduction

Site Reliability Engineering (SRE) at TikTok combines software and systems engineering to build and run large-scale, massively distributed, and fault-tolerant systems. In our team, you’ll 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 encourage close collaboration while promoting self-direction. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities

  • Engage in and improve the whole lifecycle of services from inception and design, throughout development, capacity planning, and launch reviews, to deployment, operation, and automate
  • Design and implement various dashboards and monitoring frameworks for efficient, automated, and intelligent service-oriented architecture (SOA) governance
  • Scale systems elastically through mechanisms such as automation; evolve systems reliability, efficiency, and velocity by pushing for changes
  • Practice efficient customer support, incident response, and blameless postmortems.

Minimum Qualifications

  • Bachelor's degree in Computer Science or a related technical field
  • Industrial or internship experience in accredited internet or cloud companies
  • Proficient in one of the following programming languages : Python, GoLang, Java, Shell
  • Familiar with Linux system internals, networking, and distributed systems
  • Strong interpersonal and communication skills Preferred Qualifications
  • Experience in MySQL, Redis, Kubernetes, Docker, Hadoop, Spark, Flink, HDFS, etc.
  • Experience in designing and analyzing large-scale distributed systems Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
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