DURATION: LONG TERM PROJECT

We are seeking a highly experienced Senior Java Software Engineer with over minimum 10+ years of hands-on experience in the IT industry, specializing in JAVA/J2EE and restful web-services development. This role requires strong Java/J2EE skills along with experience in cloud environments, particularly AWS and Kubernetes, and a passion for learning emerging technologies.

QUALIFICATIONS:

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
· A minimum of 10 years’ experience in Java/J2EE software development; Spring and SpringBoot expertise required.
· Proficient in AWS, with Kubernetes knowledge highly preferred.
· Solid understanding of SOA and web services (REST/SOAP).
· Experience in Git and continuous integration tools along with familiarity in code quality and coverage tools.
· Strong analytical skills and ability to write clean, efficient, and maintainable code.
· Experience with AI integrations and microservices architecture is beneficial.
· Excellent communication skills and a strong passion for innovation and learning.
Job Type: Fixed term contract
Contract length: 12 months
Pay: $60.00-$65.00 per hour
Expected hours: 40 per week

Experience:

• Java: 10 years (required)
• AWS: 6 years (required)
• Kubernetes: 5 years (required)
• Leadership: 3 years (required)
• SOAP: 4 years (required)

Language:

• English (preferred)

KEY RESPONSIBILITIES:

· Design, develop and maintain advanced JAVA/J2EE applications with emphasis on restful web service development.
· Utilize frameworks such as Spring and SpringBoot to produce scalable and efficient code.
· Work within AWS cloud environments and leverage Kubernetes for orchestration and management.
· Develop and maintain SOA architectures and understand web service paradigms such as REST/SOAP.
· Participate in TDD practices and contribute to unit testing and code quality assessments.
· Collaborate on large-scale, consumer-facing web applications, enhancing performance and integration.
· Innovate by integrating AI technologies into existing frameworks under the guidance of AI experts.
· Remain hands-on with code and have a strong understanding of algorithms and database concepts.
· Embrace microservices architecture and understand security protocols such as OAuth 2.0.