Lead/Senior XP Full-Stack Engineer (Java / React)

Our Customer:
A product-focused organization developing innovative, business-critical applications with a strong focus on modern engineering practices, scalable distributed systems, and AI-assisted development.

Your tasks:
Develop innovative, business-critical applications as a hands-on full-stack expert using Java, Spring, React, and related technologies.
Own and lead the complete engineering lifecycle, including technical discovery, solution design, architecture, implementation, testing strategy, DevOps, production readiness, and continuous improvement.
Lead architecture and design decisions for complex services, APIs, front-end capabilities, integration flows, and cloud-ready components.
Act as a technical authority for Java/Spring, React, microservices, cloud/hybrid, and container-based solutions.
Translate business needs into scalable, maintainable, secure, and testable technical solutions.
Guide other developers through remote pairing, code reviews, design reviews, mentoring, and hands-on technical leadership.
Drive XP practices, including pair programming, TDD/BDD, continuous integration, evolutionary design, and fast feedback loops.
Design and develop distributed systems with a focus on resilience, service discovery, scalability, observability, and performance.
Identify modernization opportunities, reduce technical debt, and improve system reliability, observability, performance, and deployment quality.
Promote engineering excellence through clean code, automation, testability, secure coding, reusable components, and clear technical documentation.
Work with CI/CD pipelines, automated quality gates, deployment automation, and production-readiness practices.
Design, develop, and deploy cloud/hybrid solutions in container-based environments such as Kubernetes or Cloud Foundry.
Use AI-assisted development tools to accelerate coding, unit-test generation, refactoring, documentation, troubleshooting, API exploration, and code-review preparation.
Apply responsible AI practices in software engineering, including validation of generated output, data sensitivity, security, intellectual property awareness, and human-in-the-loop review.
Identify practical AI use cases that improve developer productivity, reduce manual effort, and increase delivery quality.
Evaluate technology options, make architectural trade-offs, and communicate technical recommendations to engineering and management stakeholders.

Required experience and skills:
8+ years of hands-on software engineering experience, including significant experience with enterprise-scale systems.
Expert-level experience with Java, including Spring, Spring Boot, Spring Cloud, microservices, RESTful APIs, and integration-oriented architecture.
4+ years of front-end development experience, mainly with React.
Experience in a Team Lead role, or strong potential and motivation to grow into technical leadership in the near future.
Strong knowledge of modern JavaScript/TypeScript frameworks, component design, state management, and reactive UI patterns.
Strong experience with distributed systems design, including service resilience, service discovery, circuit breaker patterns, scalability, observability, and performance tuning.
Strong experience with TDD/BDD and automated testing using JUnit, Jasmine, Mockito, Protractor/Selenium, or equivalent modern tools.
Hands-on experience with CI/CD, Jenkins or equivalent pipelines, automated quality gates, deployment automation, and production-readiness practices.
Experience designing, developing, and deploying cloud/hybrid solutions in container-based environments such as Kubernetes or Cloud Foundry.
Experience with functional programming principles and Java Streams.
Practical experience using AI-assisted development tools such as GitHub Copilot, ChatGPT/OpenAI-based tools, or equivalent AI engineering assistants.
Ability to use AI tools for coding, unit-test generation, refactoring, documentation, troubleshooting, API exploration, and code-review preparation.
Understanding of responsible AI usage in software engineering, including data sensitivity, security, intellectual property awareness, validation of generated output, and human-in-the-loop review.
Ability to evaluate technology options, make architectural trade-offs, and communicate technical recommendations clearly to engineering and management stakeholders.
Strong ownership and ability to prioritize complex work, drive decisions, and operate effectively in a rapidly changing environment.
Excellent problem-solving skills, strong engineering judgment, critical thinking, and ability to simplify complex technical challenges.
Good English, both verbal and written.
BSc in Software Engineering, BS degree in Computer Science, or equivalent practical engineering experience.

Would be a plus:
Experience in developing with Kotlin would be a significant advantage.
Ability to identify practical AI use cases that improve developer productivity, reduce manual effort, and increase delivery quality without compromising security or maintainability
Experience integrating AI/LLM capabilities into applications, workflows, developer tooling, or automation processes.

Working Conditions:
5-day working week, 8-hour working day
Remote work