$100K - $150K(Ladders Estimates)
We are on a mission to connect every member of the global workforce with economic opportunity, and that starts right here with LinkedIn. Talent is our number one priority, and we make sure to apply that philosophy both to our customers and to our own employees as well. Explore cutting-edge technology and flex your creativity. Work and learn from the best. Push your skills higher. Tackle big problems. Innovate. Create. Write code that makes a difference in professionals' lives.
As part of our world-class software engineering team, you will be charged with building the next-generation infrastructure platforms for LinkedIn — including but not limited to: an application and service delivery platform, massively scalable data storage and replication systems, and a cutting-edge search platform. You will work and learn among the best, putting to use your experience in distributed technologies and algorithms, your great API and systems-design sensibilities, and your passion for writing code that performs at an extreme scale. LinkedIn has already pioneered well-known open-source data infrastructure projects like Voldemort, Kafka, Samza, Helix, Azkaban, and Pinot – come join our infrastructure team and share the knowledge with a broader community while making a real impact within our company.
Develop a long-term technology road map.
Manage the performance and career development of a small team of engineers
Own significant parts of this infrastructure which will require design, architecture, and coding.
Collaborate with other engineering teams across LinkedIn
Additionally, the ideal candidate will help scale LinkedIn's infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below:
Data Infrastructure: Data is LinkedIn's most important asset, and the Data Infrastructure team provides the foundational blocks for building scalable systems and services that fuel our business. The team is organized around three problem spaces: Online Storage, Streams, and Data Analytics and Processing. Think of it as your private cloud.
Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users.
Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment.
Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content.
BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
2+ years experience in software engineering management
Experience building and running in production (24x7 environments) distributed large-scale systems.
Experience hiring, mentoring, coaching and developing top engineering talent.
Successful track record of managing small teams of engineers and project management skills.
Experience with 24/7 operations of infrastructure systems
Strong management skills for planning and executing complex multi-team projects
Thorough knowledge of multi-threading, concurrency, and parallel processing technologies.
Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems.
Valid Through: 2019-9-13