While repeatedly dropping overused buzzwords during the hiring process is not the best way to impress a hiring manager, referencing hot technologies, in-demand skills and essential experience will make you sound knowledgeable. And if hiring managers think you’ll add value to the company, they’re more likely to hire you.
With that in mind, here’s a list of the hot buzzwords that
tech pros should be sure to highlight when crafting résumés and success
stories for job interviews.
With global revenue from “over-the-top” delivery of TV shows
and movies expected to reach $129
billion by 2023, mentioning OTT in a résumé
can help software engineers, testers, developers, DBAs or product managers
stand out in a crowd.
OTT, which describes the delivery of media content over the
internet, is an in-demand skillset not only in the entertainment industry, but
any company that distributes streaming media, explained Sarah Copeland,
executive director of Recruitment at Irvine Technology Corporation (ITC).
In fact, there are already over 200 OTT
services in the U.S. market, according to Parks
Associates. Interested in making the leap? Check out our growing list of OTT
Regardless of the positon you’re seeking, describing your experience
with app migration, cloud app development, security
tools, IaaS, PaaS, SaaS or AWS, Microsoft Azure or Google Cloud
Platform can definitely give you an edge in today’s marketplace. If a company
hasn’t integrated its processes into the cloud, it’s almost certainly planning
on doing so.
Any experience with cloud-based processes and apps may boost
your appeal, Copeland added. If you’ve been stuck in the same job for a while, see
if you can transfer to your company’s cloud group, attend a conference or
earn a certification… and be sure to note your activities and newly
acquired skills in online profiles, résumés and discussions with recruiters and
Kubernetes is red hot according to Brett Wayne, managing
director of technical staffing firm Cypress HCM. In fact, a 451 Research survey of
enterprises using containers found that 71 percent of respondents were using
Kubernetes. Slipping the names of popular tools such Chef, Puppet, Ansible or
Saltstack into the hiring process can make all the difference, too.
Problem Solving (CPS)
Hiring managers are always on the lookout for tech pros with
complex problem solving skills (CPS) or experience managing complex projects;
such skills are fairly rare. However, to convert buzzword-driven interest into
an actual offer, you need to describe
a challenging project (and its solution) in an interesting way. Offer
proof by mentioning specific details and facts, including the approach you took,
the obstacles you encountered, and the tools you used, as well as the outcomes
Architecture and Applications
While “scalability” is a popular term that is bound to
capture the attention of hiring managers, providing context is equally
Architects and developers need to show that scalability is
more than a buzzword by explaining how they accomplished it, explained Michael
Giles, director of Technology for Rauxa. What processes did they follow to grow
something rapidly? “The first thing I do is dive into the experience section of
a candidate’s résumé to see how they are defining the term,” he said.
For example, were they involved in scaling an app’s user
base, or did they focus on creating scalable object storage? And what was the
size of the user base or data set?
During the interview, Giles goes one step further by asking
candidates how they went about building scalable architecture or writing
scalable code. Show that you understand how to achieve scalability (step by
step, ideally), and you’re bound to impress.
While artificial intelligence (A.I.) has been one of the
most valuable skills over the last few years, machine learning (a subset of A.I.)
is more applicable to the average business, Giles noted.
Inserting a popular term like “ML” into your résumé or conversation is certain to grab a reviewer’s attention. But to land an interview and ultimately an offer, hiring managers want to hear examples of how you’ve used ML to solve problems or deliver value to a stakeholder or external client. If you’re interested in ML but unsure of where to start learning, check out these online resources.
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