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Think Full-Stack. Build AI-Powered.Tasks

• Design, develop, test, and maintain scalable applications using Java & Spring for backend services and Angular/React for frontend development.
• Design and implement business services, integrating them with frontend applications and other enterprise systems.
• Build and operate applications in the cloud, using cloud-native architectures and services.
• Apply AI-assisted development throughout the SDLC, including analysis, design, coding, testing, code review, documentation, and troubleshooting.
• Explore and implement agentic AI workflows where AI agents can support or automate engineering activities across the SDLC.
• Critically evaluate AI-generated code and solutions to ensure quality, security, maintainability, performance, and compliance.
• Monitor, troubleshoot, and optimize applicationsRequirements
• Proven professional software development experience, with the ability to independently design, develop, test, and deliver production-ready software.
• Strong hands-on backend development experience with Java and Spring Boot.
• Hands-on frontend development experience with Angular and/or React, using TypeScript.
• Familiarity with cloud-native application development; AWS experience is a plus.
• Experience with Docker and CI/CD, and familiarity in container orchestration.
• Experience with automated testing and modern engineering quality practices.
• Strong analytical and problem-solving skills.
• Experience working in an Agile product development environment.
• Good understanding of application security principles and practices.
• Business English.

Think Full-Stack. Build AI-Powered.Tasks

• Design, develop, test, and maintain scalable applications using Java & Spring for backend services and Angular/React for frontend development.
• Design and implement business services, integrating them with frontend applications and other enterprise systems.
• Build and operate applications in the cloud, using cloud-native architectures and services.
• Apply AI-assisted development throughout the SDLC, including analysis, design, coding, testing, code review, documentation, and troubleshooting.
• Explore and implement agentic AI workflows where AI agents can support or automate engineering activities across the SDLC.
• Critically evaluate AI-generated code and solutions to ensure quality, security, maintainability, performance, and compliance.
• Monitor, troubleshoot, and optimize applicationsRequirements
• Proven professional software development experience, with the ability to independently design, develop, test, and deliver production-ready software.
• Strong hands-on backend development experience with Java and Spring Boot.
• Hands-on frontend development experience with Angular and/or React, using TypeScript.
• Familiarity with cloud-native application development; AWS experience is a plus.
• Experience with Docker and CI/CD, and familiarity in container orchestration.
• Experience with automated testing and modern engineering quality practices.
• Strong analytical and problem-solving skills.
• Experience working in an Agile product development environment.
• Good understanding of application security principles and practices.
• Business English.