Principal Staff Software Engineer, Online Analytics Infrastructure

Company Description

LinkedIn is the world’s largest professional network, built to create 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

This role will be based in Sunnyvale.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 

Team Description 

At LinkedIn, our Online Infrastructure organization powers systems and technologies that enable rich, online access to LinkedIn's economic graph data and insights for all of LinkedIn's online features and capabilities. We do this by building cutting edge and innovative planet-scale HA systems, and by relentlessly pursuing operational excellence and customer obsession to support LinkedIn's product teams. 

The Graph and Online Analytics Infrastructure group in the Online Infra organization is at the cutting edge of building online distributed databases and services that power real-time insights and graph traversals for our members directly and as critical real-time computations for our member-facing features like recommender systems, targeting and personalization use cases.

As part of the Graph and Online Analytics Infrastructure group, you will have the opportunity to devise and own our multi-year, multi-systems Online Analytics strategy to support LinkedIn's growth at this critical juncture of our AI transformation for our members, customers and for ourselves.

You will be driving LinkedIn’s Online Analytics strategy and its implementation with the rigor and pragmatism demonstrated by your world-class expertise in the domain and prior successes in generating critical business outcomes. You will play a pivotal role in building systems and services in the domain, developing talent, augmenting culture of rigor and customer obsession and partner across Product Platforms, Online Infra and across the company to realize the benefits of online and real-time analytics at scale. As the primary domain expert, you are expected to provide technical leadership, drive architectural decisions and implementation across the group.  You will research, develop, build and ship cutting edge technologies in partnership with the group to achieve Linkedin' business goals. You will inculcate and reinforce rigor, operational excellence and customer obsession in our group and our organization.

Responsibilities

• Architect Real-Time Analytics Platforms: Design and implement distributed query engines and APIs for sub-second latency across heterogeneous systems.
• Own and Evolve Core Systems: Drive the roadmap, scalability, and operational excellence of our existing web-scale analytics systems; ensure these systems meet future analytics demands.
• Drive Service and Operational Excellence: Define and drive service and operational excellence for online analytics services  at consumer-internet scale.
• Culture Builder: Establish and nurture a culture of customer obsession and business impact, combined with high rigor, technical craft, and innovation.
• Cross-System Optimization: Lead architectural decisions for query planning, caching, and optimizations across multiple engines.
• Technical Leadership: Mentor senior engineers, set technical standards, and foster a culture of excellence.
• Industry Engagement: Represent the organization in real-time analytics forums

Qualifications

Basic Qualifications

• BS in Computer Science or equivalent.
• 10+ years in distributed systems and real-time analytics platforms.
• 5+ years in technical leadership roles for OLAP or real-time query engines.
• Experience in developing and scaling large scale databases or analytics systems
• Experience with building columnar storage, vectorized execution, and cost-based optimizers.
• Experience with coding in Java, C++, or Rust; knowledge of query execution, indexing, and concurrency.
   

Preferred Qualifications

• MS/PhD in Computer Science or related field.
• Experience with distributed online analytics systems and databases.
• Expertise in query federation, semantic modeling, and BI integration.
• Expertise with columnar storage, vectorized execution, and rule-based as well as cost-based