Java Software Engineer

Career Soft Solutions Inc; Columbus (OH); On-site; USD 100,000 - 150,000; Full time

Job summary

Career Soft Solutions Inc in Columbus, OH or Plano, TX seeks a Full Stack Java engineer with a strong frontend focus to join our delivery teams.

You will contribute across UI development and backend services, leveraging AWS and modern development practices in a large corporate environment.

Candidates should have 3+ years of Java and hands-on experience with SDLC, CI/CD, and security considerations.

Qualifications

• 3+ years of Java programming experience.
• Experience in UI-heavy front-end and backend development.
• Experience with AWS and enterprise-scale software.
• Knowledge of SDLC and agile practices (CI/CD).
• Ability to work in large corporate environments and in teams.

Skills

UI development

Full stack development

Java

AWS

CI/CD

Tools

SQL

Spring

Job description

Title: Full Stack Java (Heavy front end)

Location: Columbus, OH or Plano, TX

Required Skills:

Strong UI development experience, Full Stack development, AWS, and some back-end development experience.

Skill Distribution: 70% Frontend / UI and 30% Backend.

Preferred Background:

Candidates should have extensive UI experience while being comfortable contributing to backend services and AWS-based applications.

Required qualifications, capabilities, and skills:

3+ years of Java programming experience

Hands-on practical experience in system design, application development, testing, and operational stability

Proficient in coding in one or more languages

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Overall knowledge of the Software Development Life Cycle

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.