Design Engineering Infrastructure Software Engineering 
Dynatrace
NOVEMBER 3, 2023
In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Why is platform engineering important?
Dynatrace
NOVEMBER 7, 2023
Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.
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Strategic Tech
MARCH 16, 2021
There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. Both valuing design and striving for continuous delivery are necessary. So we need to make it part of everything we do.
High Scalability
JANUARY 11, 2022
Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. API Design. Problem Statement.
The Netflix TechBlog
OCTOBER 28, 2021
Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.
The Netflix TechBlog
FEBRUARY 1, 2022
By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? Most backend engineering teams follow a process very similar to what is shown below. If so, we invite you to begin the interview process.
The Morning Paper
JULY 7, 2019
Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19.
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