Junior Java Developer

Since 2010, SynergisticIT has been helping jobseekers find tech jobs by teaching them the skills, experience, and knowledge they need to do well in interviews and impress clients.
The tech job market has been heavily impacted by layoffs. Since 2021, there have been over 600,000 layoffs in the industry.
The job market is extremely competitive. For every open position, 500-1,000 or more people are applying. Many of them are laid-off workers who are now competing for entry-level jobs too.


Please see the below links to know more about Synergisticit and some useful tips


Synergisticit Pics /Salaries of Successful Candidates

Synergisticit at Oracle Cloudworld 2023

Synergisticit at Gartner Data & Analytics summit

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT

Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT


We work closely with top tech companies to give our candidates an edge.
At SynergisticIT, we understand the gap between what employers want and the skills employees have. Since 2010, we've helped thousands of people land jobs with companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.
We're always looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, data engineers, and machine learning engineers for full-time roles with our clients.


Who Should Apply? Recent graduates in Computer Science, Engineering, Mathematics, Statistics, or Science. Also, people looking to change careers or those with gaps in employment who want to start a career in the tech industry.
We are looking for candidates in Data Science, Machine Learning, Data Analysis, and Java Full-Stack roles.
Preferred Skills for Java/Full-Stack/DevOps Positions:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT.

• Knowledge of Core Java, JavaScript, C++, or software programming.

• Experience with Spring Boot, Microservices, Docker, Jenkins, GitHub, Kubernetes, and REST APIs.

Preferred Skills for Data Science/AI/Machine Learning Positions:

• Associate, Bachelor's, or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics, or strong logical aptitude.

• Knowledge of Statistics, Generative AI, Large Language Models (LLM), Sagemaker, Python, Computer Vision, and data visualization tools.

Additional Information:

• If you lack technical skills, you can explore our other programs to help secure a job.

• If you receive emails from our Job Placement team and are not interested, please reply to ask them to remove you from their contact list. This will prevent further contact, as the team shares its database with the client servicing team, which only reaches out to candidates matching client requirements.

• No phone calls, please. Only shortlisted candidates will be contacted.

• We do not accept applications from third-party agencies or c2c candidates.