Full Stack Java Developer

Overview

Synergistic

IT provides candidates the skills and experience to differentiate themselves for interviews and clients. We focus on helping candidates build careers, including entry-level opportunities. We have an excellent reputation with clients and work to match candidates who can perform from day one. We assist in filing for STEM extension and for H1B and Green Card filings to candidates.

We are currently looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/scientists, data visualization engineers, BI analysts, and machine learning engineers for full-time positions with clients. We welcome recent graduates in Computer Science/Engineering/Mathematics/Statistics or Science, or individuals looking to switch careers or re-enter the tech field.

We encourage candidates to evaluate whether they have the requisite skills to meet client requirements. Clients may hire remote workers, increasing competition for jobseekers.

We are matchmakers who provide clients with candidates who can perform from day one. In today’s challenging economy, clients look for value and efficiency.

Please apply via the job posting. Shortlisted candidates will be contacted. No phone calls, no third-party or C2C candidates.

• Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in Java and understanding of the software development life cycle
• Project work on relevant skills
• Knowledge of Core Java, JavaScript, C++ or other software programming languages
• Spring Boot, AWS, Microservices, Docker, Jenkins, and REST APIs experience
• Excellent written and verbal communication skills

• Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on relevant technologies
• Highly motivated, self-learner, and technically inquisitive
• Experience in Java and understanding of the software development life cycle
• Knowledge of Statistics, Python, computer vision, data visualization tools
• Excellent written and verbal communication skills

Snowflake, Databricks, LLM, Gen AI, Text mining, Tableau, Power BI, SAS, Tensor Flow

Candidate outcomes:

Video:

You Tube playlist:

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Interview preparation: