.advertise@offshoreoiljobs.co.uk

.www.offshoreoiljobs.co.uk

Category: Civil Engineering

Will Data Destroy Democracy?

Lawrence Lessig, Roy L. Furman Professor of Law and Leadership, Harvard Law School and Darren Bolding, CTO, Cambridge Analytica Moderator: Matthew Prince, Co-Founder & CEO, Cloudflare Photo by Cloudflare Staff MP: If there’s one person responsible for the Trump presidency, it seems there is a compelling argument that that might be you. DB: I very much disagree with that. MP: How does Cambridge Analytica work, and how did the Trump campaign use it to win the presidency? DB: we take…

A Cloud Without Handcuffs

Brandon Philips, Co-Founder & CTO, CoreOS, and Joe Beda, CTO, Heptio, & Co-Founder, Kubernetes Moderator: Alex Dyner, Co-Founder & COO, Cloudflare Photo by Cloudflare Staff We’re exploring increasing risk of few companies locking in customers gaining more power over time. AD: I want to hear your stories about how you got into what you do. JB: Kubernetes faced problem of either having googlers use rbs or bring X to rest of world. We wanted to have Googlers and outside people…

Making Mobile Faster than Fixed Line

Cole Crawford, Founder & CEO, Vapor IO, and Chaitali Sengupta, Consultant, Qualcomm Datacenter Technologies Moderator: Michelle Zatlyn, Co-Founder & COO, Cloudflare Photo by Cloudflare Staff CC: moved between private and public sector. CS: her company added 100 million customers in India. MZ: Let’s start with where we are today: trends or things you’re seeing in the marketplace that weren’t there 5 years ago. CC: What’s interesting is combination of data mass and data velocity, resulting in a more dynamic internet.…

Getting to Know Shivam Sharma

Shivam is an engineering intern with our Sales Solutions team, which focuses on delivering innovative products for sales people who want to leverage their networks to enable social selling. Specifically, his team is working on the redesign and re-architecture of the Sales Navigator product on the new Pemberly technical stack. Shivam is currently pursuing his bachelor’s degree in computer science at the University of California, San Diego. What are some of the coolest projects that you and your team have…

Autoscaling based on request queuing – Square Corner Blog – Medium

Modern web development often includes traffic-heavy web applications and APIs. These services are tasked with a double-whammy: they need to be able to do a ton of work and to be able to do it for a significant number of requests. For example, a single application can be responsible for user authentication, request routing, view rendering (both HTML and JSON), business logic, and accessing data from a permanent data store [1]. Being able to do that and respond to high…

DAAP grad puts ‘design doing’ into action with new sports lighting system

DAAP grad Barry Hutzel helped design Qualite’s GameChanger, a unique new modular sports lighting system. Credit: Craig Van Der Lende On May 24, 1935, Cincinnati’s Crosley Field illuminated for professional baseball’s first night game. University of Cincinnati alum Earl Payne, Eng. ’26, helped design that revolutionary lighting system—along with the original lighting layout for UC’s Nippert Stadium. More than 80 years later, another UC grad is helping to change the sports lighting game. Barry Hutzel graduated from UC’s College…

Research demonstrates ability to gather and share data without internet during natural disasters

Credit: Georgia Institute of Technology Storms like Hurricane Irma and other natural disasters bring with them lots of uncertainty – where will they go, how much damage will they cause. But, what is certain is that no matter where they strike, natural disasters knock out power. And, no power means no internet for thousands of people in affected areas. However, researchers at the Georgia Institute of Technology are proposing a new way of gathering and sharing information during natural…

Meet Michelangelo: Uber’s Machine Learning Platform

Uber Engineering is committed to developing technologies that create seamless, impactful experiences for our customers. We are increasingly investing in artificial intelligence (AI) and machine learning (ML) to fulfill this vision. At Uber, our contribution to this space is Michelangelo, an internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. Michelangelo enables internal teams to seamlessly build, deploy, and operate machine learning solutions at Uber’s scale.…

An Update on the REACH Program

Co-authors: Shalini Agarwal, Joel Young, Ali Mohamed, and Yi Shen   Earlier this year, we kicked off our inaugural REACH program, which brings in software engineers from non-traditional tech backgrounds to apprentice at LinkedIn for six months. Our goal is to provide an entryway into a full-fledged engineering job for talented people that might otherwise be overlooked. The recruiting funnel at LinkedIn and other similar companies often overlooks these individuals because they don’t have the right schools, degrees, or prior…

Creating Video Sharing on LinkedIn: How the Engineering Team Perfected Cross-office, Cross-time zone Collaboration

Once the engineering leads came to a shared understanding of how the individual systems would need to interact with one another, the teams developed, prioritized, and scoped their own roadmap for the features and systems for which they were responsible. This first step in planning allowed smaller groups of the right stakeholders to come together as needed to work out some of the more complex integration points. For example, developing multi-part upload functionality to make uploads faster and more resilient…