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#careers

Profile: Dawn Glamm, senior vice president of engineering and operations, NS1

Women in Tech: “Don’t hesitate to show what you know”

Four years ago, we launched a diversity series aimed at bringing the most inspirational and powerful women in the tech scene to your attention. Today, we’d like you to meet Dawn Glamm, senior vice president of engineering and operations, at NS1.

Achieve flawless documentation

6 Process Documentation Mistakes Developers Should Avoid

Many people assume that documentation is merely a formality, but it is a way to simplify conducting day-to-day business activities. When developers make the following mistakes in the process documentation, it can result in an unorganized workplace. Here’s how to avoid them all.

Look out for the signs

Managing burnout in innovative, fast paced industries

In this article, organisational psychologists, consultants and co-founders of award-winning Monkey Puzzle Training and Consultancy Karen Meager and John McLachlan discuss burnout mental health in tech. How can burnout be avoided and what are the warning signs?

Profile: Hamida Rebaï Trabelsi, Senior Cloud Application Architect at Revenu Quebec

Women in Tech: “Learning is my way of having fun”

Four years ago, we launched a diversity series aimed at bringing the most inspirational and powerful women in the tech scene to your attention. Today, we’d like you to meet Hamida Rebaï Trabelsi, Senior Cloud Application Architect at Revenu Quebec.

Taking a people-first approach

The key to human-led digital transformation

In this article, Donovan Justice, CEO & Co-Founder at Digital Detox, defines the core tenets of human-led digital transformation, namely starting small, building trust, and focusing on business goals rather than the tech.

How much is it costing you?

Four Ways Bad Data Quality Can Wreck Your Business

In this article, Rex Ahlstrom, CTO and EVP of Growth & Innovation at Syniti, will examine the four primary ways that poor data quality negatively affects business. If you don’t know where your bad data is, how can you fix it? And how can you know how much it’s costing you?