Track: Engineering Culture @ <insert cool company names here>
Day of week:
Building an engineering (and technology) led culture is the hardest and most important challenge faced by entrepreneurs building tech companies. The successful ones are those that have managed to bridge product, technology, and people. Every company (whether actively cultivated or organically developed) has a culture. What differentiates a company that remains successful while it continues to grow is how it manages to hold on to or make the right adjustments to its culture.
The Engineering Culture track showcases speakers that have helped shape the culture of their respective companies. Whether an aspiring leader, a first time manager, or a seasoned entrepreneur, you will benefit from the stories and experiences of the leaders in software.
by Kate Heddleston
Institutional bias is death by a thousand papercuts. Unequal work environments today are comprised of a lot of small inequalities that add up to the gender pay gap, the racial hiring gap, and environments that can be unintentionally antagonistic towards non-traditional groups. This talk covers what is institutional bias, why it’s a problem, and how it manifests in the workplace. Finally, we’ll go over a process to help you actually start addressing those paper...
by Franziska Bell
Data Science Manager @Uber
Uber has been growing at a breakneck speed both in terms of business as well as in terms of people. Innovation and the speed of innovation is paramount to our success. At the same time, Uber’s mission is defined as “Transportation That Is As Reliable as Running Water”. How does Uber create an engineering environment that fosters innovation, rapid growth, fast pace and reliability? What does a day in a life of an Uber engineer/data scientist look like? This talk will walk you through the...
by Doug Talbot
Head of Organisational Effectiveness @Ocado
Seeing the whole and thinking wider than software and development processes is something we find very hard to do in the tech industry. It’s so easy to get distracted by the amazing new languages, the neat gadgets, or the fun of tricks like mob programming. If we start to apply a wider lens, some systems thinking, queuing theory, psychology and a sprinkle of cynefin we soon see that if we want to drive an organisation of great teams made of great people that...
by Manu Cupcic
Senior Staff Development Lead @Criteo
Criteo, a leader in the fiercely competitive Adtech sector, started in France and now has several hundred engineers distributed across four locations. Thanks to our strong engineering culture fostered by our founders, R&D driven innovation is at the heart of Criteo’s growth. Criteo’s engineering leaders went one step further and created a framework to continually evolve the culture to meet the needs of our growing team. We'll share our definition of...
Architecting for Failure
Building fault tolerate systems that are truly resilient
Architectures You've Always Wondered about
QCon classic track. You know the names. Hear their lessons and challenges.
Containers - State Of The Art
What is the state of the art, what's next, & other interesting questions on containers.
Dark Code: The Legacy/Tech Debt Dilemma
How do you evolve your code and modernize your architecture when you're stuck with part legacy code and technical debt? Lessons from the trenches.
Data Engineering : Where the Rubber meets the Road in Data Science
Science does not imply engineering. Engineering tools and techniques for Data Scientists
Engineering Culture @ <insert cool company names here>
Culture, Organization Structure, Modern Agile War Stories
Fast & Furious: Ad Serving, Finance, & Performance
Learn some of the tips and technicals of high speed, low latency systems in Ad Serving and Finance
Java: Interesting Stuff in the Space
What do you need to know about Java: JDK9, low latency, and more.
Modern CS in the Real World
Applied, practical, & real-world dive into industry adoption of modern CS ideas
Modern Distributed Architectures
Migrating, deploying, and realizing modern cloud architecture.
Modern Learning Systems
Real world use of the latest machine learning technologies in production environments
Observability Done Right: Automating Insight & Software Telemetry
Tools, practices, and methods to know what your system is doing
Performance myths that need busting and the tools & techniques to get there
Practical Cryptography & Blockchains: Beyond the Hype
Looking past the hype of blockchain technologies, alternate title: Weaselfree Cryptography & Blockchain
Security: The Attacker's Mindset
How Attackers Think. Penetration testing techniques, exploits, toolsets, and skills of software hackers
Softskills: Essential Skills for Developers
Skills for the developer in the workplace
Workhorse Languages, Not Called Java
Workhorse languages not called Java.