Senior Cloud Engineer

24 hours ago

Mountain View, California, United States LinkedIn Full time
Transform the Way the World Works

At LinkedIn, we're committed to creating economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day.

About the Role

We're seeking a highly skilled Senior Cloud Engineer to join our Compute Infrastructure SRE team. As a key member of this team, you'll be responsible for building the next-generation infrastructure and platforms for LinkedIn. This is a unique opportunity to work on a high-profile, high-impact ongoing project that will touch every aspect of our engineering organization.

Responsibilities
  • Design and develop scalable cloud infrastructure solutions to support LinkedIn's growing user base.
  • Collaborate with cross-functional teams to ensure seamless integration of cloud services.
  • Develop and maintain high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
  • Provide technical leadership and drive best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs.
  • Identify and leverage opportunities to improve engineering productivity.
Requirements
  • BS (or higher) in Computer Science or related technical field involving coding.
  • 2+ years of industry experience.
  • Must have 2+ years of experience in managing and scaling Kubernetes infrastructure.
  • Experience programming language Golang or Java.
Preferred Qualifications
  • BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience.
  • Experience in building and running distributed large-scale systems in production (24x7).
  • Experience with Kubernetes controller development, automating cluster management.
  • Golang coding experience.
  • Experience with Distributed Storage/Databases and/or analytics technologies (e.g., Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, Flink, etc., or similar) is highly valued.
What We Offer

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $117,000 - $192,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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