Full Stack Developer - Entry Level

Synergisticit Job Opportunities

Since 2010 and almost 14 years SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massive—in 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. Total layoffs as per this 555,871 tech layoffs. Intel, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills. Please check the below links to see success outcomes, salaries of our candidates.

We regularly interact with the top tech companies to give our candidates a competitive advantage-Please visit the below videos exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, bank of america, visa, walmart lab etc to name a few. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients.