Java Developer

Responsibilities:
Analyze requirements, design and build solutions to ensure the product meets business and non-functional (performance, security, scalability, resilience, observability) requirements
Develop high-quality, maintainable, and well-tested code aligned with engineering standards and best practices
Use modern development tools, including AI-assisted coding tools (e.g., GitHub Copilot, code assistants), to improve productivity and code quality
Maintain and enhance both business and platform side of the product
Review code and share knowledge with other team members
Participate in presentation sessions to demonstrate new features to stakeholders
Apply best practices in software development (code style and patterns, quality, performance)
Work on algorithmic calculations used by leading financial institutions
Experience
7+ years of experience as Java Software Engineer / Developer
Degree in Computer Science
Expertise in designing, developing, testing and maintaining microservices.
Solid knowledge of Java and the Spring ecosystem (Spring Boot preferred)
Deep expertise in Spring framework and distributed systems (Kafka)
Strong knowledge of RESTful API standards, secure API design (JWT) and observability
Deep understanding of AI concepts and extensive usage of AI tools in SDLC
Strong experience with Oracle Database, including SQL optimization, indexing strategies, data modeling, and performance tuning.
Hands-on experience with containerized deployment (Kubernetes) and CI/CD
Proficiency in software engineering methodologies, patterns and tools
Understanding of CI/CD pipelines and DevOps practices
Strong communication, presentation skills, and collaborative attitude
Experience
7+ years of experience as Java Software Engineer / Developer
Degree in Computer Science
Expertise in designing, developing, testing and maintaining microservices.
Solid knowledge of Java and the Spring ecosystem (Spring Boot preferred)
Deep expertise in Spring framework and distributed systems (Kafka)
Strong knowledge of RESTful API standards, secure API design (JWT) and observability
Deep understanding of AI concepts and extensive usage of AI tools in SDLC
Strong experience with Oracle Database, including SQL optimization, indexing strategies, data modeling, and performance tuning.
Hands-on experience with containerized deployment (Kubernetes) and CI/CD
Proficiency in software engineering methodologies, patterns and tools
Understanding of CI/CD pipelines and DevOps practices
Strong communication, presentation skills, and collaborative attitude
Responsibilities:
Analyze requirements, design and build solutions to ensure the product meets business and non-functional (performance, security, scalability, resilience, observability) requirements
Develop high-quality, maintainable, and well-tested code aligned with engineering standards and best practices
Use modern development tools, including AI-assisted coding tools (e.g., GitHub Copilot, code assistants), to improve productivity and code quality
Maintain and enhance both business and platform side of the product
Review code and share knowledge with other team members
Participate in presentation sessions to demonstrate new features to stakeholders
Apply best practices in software development (code style and patterns, quality, performance)
Work on algorithmic calculations used by leading financial institutions