In the Code: Volume 1, Issue 7
Welcome back to Issue 7 of our LinkedIn Engineering In the Code e-newsletter, where we highlight LinkedIn Data VP Ya Xu’s keynote at Ray Summit.
Read on for LinkedIn Engineering career stories, technical work, news stories, and some of our latest job openings:
At this year’s Ray Summit, Ya joined the keynote stage with Robert Nishihara and Ion Stoica to discuss LinkedIn’s wide range of AI products and highlight how we're enhancing their value with Generative AI.
Tune in to the full keynote here:
Career Stories: Learning and growing through mentorship and community
To land her dream software development role, Lekshmy used LinkedIn to find her next job on the LinkedIn Talent Solutions (LTS) team.
With a flexible work schedule, a supportive culture, and opportunities to support others as a mentor through the Women in Technology (WIT) Invest Program, she’s proud to have taken a leap of faith to reach out about a role at LinkedIn.
Career stories: Influencing engineering growth at LinkedIn
Early on in her career, Rishika didn’t have a mentor to go to for questions and advice. Now, she’s pairing her technical backend and fronted knowledge with her desire to help others as part of LinkedIn’s CoachIn Program.
With a passion for connecting with others, she uses her online presence to educate, inspire, and be a resource for those looking to get into the tech industry.
Solving Espresso’s scalability and performance challenges to support our member base
As Espresso continued to expand in support of our 950M+ member base, the number of network connections that it needed began to drive scalability and resiliency challenges.
To address these challenges, we migrated to HTTP/2, which successfully solved Espresso’s scalability problems, made Espresso more resilient, and reduced latency by 75%.
Costwiz: Saving cost for LinkedIn enterprise on Azure
While cloud services have made it easier to manage large infrastructure requirements, the ease of these processes can lead to over-provisioning and under-utilization of cloud resources, resulting in increased operating expenses.
To reduce costs by helping teams keep an eye on budgets and over-provisioned or under-utilized resources, LinkedIn built Costwiz. With Costwiz, teams have a unified experience that helps drive more accurate forecasting of Azure budgets.
InfoQ: LinkedIn's open-source "iris-message-processor" achieves 86.6x faster escalation management speeds
In an interview with InfoQ about LinkedIn’s open sourcing of the iris-message-processor, senior software engineer Diego Cepeda shares more about its implementation and open sourcing.
Search Engine Journal: LinkedIn’s Feed Is Getting Smarter Thanks To AI
To ensure that content on the platform is relevant to our members, we updated the infrastructure that is responsible for personalizing feed content.
As Search Engine Journal states, “While the underlying technology is complex, the result is simple: a platform that feels more relevant, personal, and helpful in connecting you with what you need to reach your professional goals.”
We’re hiring! Check out these, and other engineering jobs at LinkedIn across our 8+ global engineering hubs at lnkd.in/EngJobs:
Staff Software Engineer - Machine Learning Systems
Sunnyvale, Calif. | Hybrid
Staff Software Engineer - Applications
Sunnyvale, Calif. | Hybrid
From scaling our platform to designing what’s next, LinkedIn Engineering is building what's needed to connect the world's professionals to economic opportunity through the largest and most trusted professional platform.
Our collaborative team ethically crafts quality solutions for business-to-business (B2B) marketing, B2B sales, talent, learning, and our members — helping job seekers, businesses, and learners maximize their potential.
Senior Software Engineer @LinkedIn || Former Product Intern @Adobe || @Google SPS-2020 || Java Developer || Creativity combined with problem solving skills || Views on my own
1yThanks for the feature😊