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

Job description

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