Java Kotlin Engineer
Job in
San Diego, San Diego County, California, 92108, USA
Listed on 2026-06-01
Listing for:
AceStack
Full Time
position Listed on 2026-06-01
Job specializations:
-
Software Development
Software Engineer, Java Developer, Backend Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Java Kotlin Engineer
Location :
- San Diego , CA (Hybrid)
Contract
As a Kotlin Engineer at focusing on backend work, your primary role will involve redesigning, enhancing, and optimizing backend systems using Kotlin to improve performance, scalability, and maintainability. Below is a detailed job description for this position:
Key Responsibilities:
- Design, develop and maintain advanced Kotlin applications with emphasis on RESTful web service development.
- Employ frameworks like Spring and Springboot to construct scalable and efficient code.
- Operate within AWS cloud environments and utilize Kubernetes for orchestration and management.
- Develop and maintain SOA architectures and comprehend web service paradigms such as REST/SOAP.
- Participate in Test-Driven Development (TDD) practices and contribute to unit testing and code quality evaluations.
- Collaborate on large-scale, consumer-oriented web applications, enhancing performance and integration.
- Implement AI technologies into existing frameworks with guidance from AI experts.
- Stay hands-on with coding and have a firm grasp of algorithms and database concepts.
- Implement microservices architecture and understand security protocols like OAuth 2.0.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related domain.
- A minimum of 5 years' experience in Kotlin software development; proficiency in Spring and Spring Boot is mandatory.
- Proficient in AWS, with Kubernetes knowledge highly preferred.
- Strong understanding of SOA and web services (REST/SOAP).
- Experience with Git and continuous integration tools, along with an understanding of code quality and coverage tools.
- Strong analytical capabilities and the ability to write clean, efficient, and maintainable code.
- Experience with AI integrations and microservices architecture is positive.
- Excellent communication skills and a robust passion for innovation and learning
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