Information Technology Layoff - Apocalypse!!! Why not to try catch the big fish?

. 3 min read

Is it going to be an apocalypse soon? Yeah maybe. I hear this a lot these days, all sorts of media reports buzzing my phone after every few hours. The media companies, with no sort of technology background, grabbing our necks with the title “You might be fired very soon, check out the skills that could save you”?

F**k them… Yeah, I won’t say that the reports are not right or the companies are not cutting costs, that the employees are not skilled and they will never be fired. They might very well be. I don’t deny these facts at all. In fact, I have been advocating this for last 2 years to everyone around me, long before any of such media reports came flashing by. What I don’t agree with, is the people’s mindset.

I myself work with a large organization and have got a chance to work with some of the awesome technologies, trying to provide cutting-edge solutions to the existing and new business problems. What I have understood over the last couple of years is that technology doesn’t drive business. Business drives the innovation behind technologies.

It’s not that 5 years past, it was not possible for the organizations to mine vast amount of data to drive their business. Giants like Google, Apple, Amazon, British Telecom and many more have been doing this from dinosaur’s age. Yeah, they have been. Well, the thing is that data and accessibility is growing at an enormous rate and all sorts of organizations are getting into a position to leverage it. With that need, technologies are also democratizing. The machine learning engines, cloud automation, artificial intelligence services, speech synthesis, natural language processing and what not are all accessible to everyone. Today, anyone with a credit card and a little bit of time can get started with a new business in a couple of days.

So, with all this, do you see jobs declining or growing. I see OPPORTUNITIES!!!! – it’s a feast and not famine. If you think, a magic bullet or a genie technology can help you leap around, it’s not gonna happen. What do you think people working in the elite tier-1 companies like Amazon or Google will get fired, because they were busy writing Javascript and C++ code to optimize their existing services, and they missed to ride the “BIG DATA” wave? F**kNO!!!!!!. In fact, most of the time, they are the one driving it.

The point is that buzzing technologies and tools will not take you anywhere. Yeah, maybe you will get a new job but that might not last long. I have friends working on Mainframe solutions from like 3000 years, supporting the company’s crucial financial solutions. And they are like “MAN!! I need to get out and learn Bigdata and Hadoop. I am gonna join a big training program and screw my current job”. And they do end up screwing their pockets.

I have got friends working on enterprise web applications from like eternity and they say, I am gonna learn “Ab Initio and Talend”. And I am like “SERIOUSLY!!! You have got good enterprise application engineering skills, why not elevate your skills there”.

The message I tend to pass to them and wanna pass here too is that organizations are driven by business, time to market, market domination, and innovation. And they need people who can help them deliver that.

So, buckle up yourself and help them sail through this difficult tide. Before jumping on to a new buzz word and technology, learn how you can provide more values to what you do right now. Can you learn new technologies to make your system more scalable, robust, elastic, efficient, cost effective and highly performant? Can you learn new technologies that can help you pilot ideas in days rather than months? Can you learn how to make an innovation-driven culture? Before you jump into a big data tool, do you understand the data and the factors driving the need for such a tool? Can you filter one technology and tool from a plethora of those out there to suit your business need? Do you remember what you learned in your engineering? Why not try to become a good engineer rather than a good speculator?