Enable job alerts via email!
Boost your interview chances
A leading company is seeking entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, and machine learning engineers. These full-time positions offer candidates the opportunity to work with top technology firms, helping them secure their career future in a competitive job market. Candidates will gain vital skills and experience in a supportive environment, preparing them for success in the tech industry.
The job market remains challenging due to significant layoffs in the tech industry, with over 150,000 layoffs in 2022 and more than 240,000 in 2023. Since 2022, nearly 390,000 tech employees have been laid off, and the trend continues. This situation has increased competition among job seekers, especially entry-level candidates who often struggle to receive responses or are ghosted after interviews.
To stand out, job seekers must acquire exceptional skills and expertise in relevant technologies. Currently, it is an employer's market, with many hiring options available to employers.
For over 12 years, SynergisticIT has helped candidates differentiate themselves by providing the necessary skills and experience to excel in interviews and secure jobs. Our focus is not just on placing candidates but on building careers.
All positions are open to all visa types and US citizens.
We act as matchmakers, connecting clients with candidates who can perform from day one. In today's economy, clients seek to maximize value and cost savings. Job seekers should self-assess whether they possess the skills required by clients, especially as remote work opportunities increase post-COVID, intensifying competition.
Since 2010, SynergisticIT has helped thousands of candidates secure positions at top technology companies such as Apple, Google, PayPal, Western Union, Visa, and Walmart Labs.
We have a strong reputation with our clients. Currently, we are seeking entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions.