Java Software Engineer
CoreAi Consulting
We are seeking a skilled Java Backend Developer to design, develop, and maintain scalable backend applications and enterprise services that power modern digital platforms. This role is ideal for an engineer with strong experience in Java, Spring Boot, REST APIs, and microservices development who enjoys building reliable, high-performance backend systems in a collaborative Agile environment.
The ideal candidate has solid software engineering fundamentals, experience developing enterprise applications, and a passion for building secure, scalable, and maintainable solutions.
Key Responsibilities
- Design, develop, test, and maintain backend applications using Java, Spring Boot, and related technologies .
- Build and support RESTful APIs , microservices, and backend integrations that are secure, scalable, and maintainable.
- Collaborate with product owners, architects, QA engineers, and development teams to deliver high-quality software solutions.
- Participate in code reviews, troubleshooting, debugging, and performance optimization activities.
- Develop and optimize database interactions, data models, and application performance.
- Contribute to CI/CD pipelines, automated testing, and software deployment processes.
- Follow software engineering best practices, coding standards, and secure development principles.
- Support production applications and assist with issue resolution as needed.
Required Skills & Qualifications
- 5–7 years of experience in Java backend development.
- Strong experience with Core Java , including object-oriented programming, collections, exception handling, and multithreading fundamentals.
- Hands-on experience with Spring Boot , Spring MVC, Spring Data JPA, and Spring Security.
- Experience developing and consuming RESTful APIs and microservices.
- Solid understanding of software design principles and backend architecture patterns.
- Experience working with relational databases such as PostgreSQL, MySQL, or Oracle .
- Experience with NoSQL databases such as MongoDB or Redis.
- Familiarity with event-driven architecture and asynchronous processing.
- Familiarity with Kafka , RabbitMQ, or other messaging/event-driven technologies.
- Experience using Git, Maven/Gradle, and CI/CD tools.
- Strong problem-solving skills and ability to work in Agile development environments.
- Excellent communication and collaboration skills.
Nice to Have
- Experience with Docker and containerized application development.
- Exposure to Kubernetes and cloud platforms such as AWS, Azure, or GCP.
- Understanding of distributed systems concepts and resiliency patterns.
- Exposure to modern AI technologies such as:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code
- Experience working in financial services, healthcare, or other regulated industries.
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