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описание
NTT DATA provides business and technology services, including consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. It also provides digital and AI infrastructure.
задачи
Design, develop, test, and implement application functionality using Java and Spring/Spring Boot
Develop backend services, APIs, and reusable application components
Work with business stakeholders and Business Analysts to understand functional and non-functional requirements
Translate business requirements into scalable and maintainable technical solutions
Design and integrate RESTful APIs with internal and external applications
Develop and optimize database queries and application data-access components
Investigate production incidents and perform root cause analysis
Implement permanent fixes for recurring production issues
Improve application stability, performance, monitoring, and observability
Participate in solution design, technical discussions, and code reviews
Develop unit and integration tests and ensure appropriate test coverage
Support application releases, deployments, and production readiness activities
Collaborate with QA, DevOps, infrastructure, and support teams throughout the development lifecycle
Follow Agile/Scrum and software engineering best practices
требования
7+ Years of experience in Java application development and enterprise software engineering
4+ Years of experience with Spring/Spring Boot and backend application development
3+ Years of experience developing and integrating REST APIs and relational databases
3+ Years of experience across the full SDLC, including design, development, testing, deployment, and production support
Будет плюсом: hands-on experience with Kotlin, experience with Linux/Unix environments, knowledge of Kubernetes and containerized applications, experience with Microservices and distributed application architecture, experience with Docker and cloud-native application development, familiarity with monitoring and observability tools such as Splunk, Dynatrace, Datadog, Prometheus, or Grafana, experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps, experience supporting business-critical production applications, strong understanding of application performance, resilience, and stability engineering, strong analytical, troubleshooting, communication, and problem-solving skills
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