Hands on expert level fullstack development of innovative, business critical applications.
Own and lead the full engineering lifecycle: technical discovery, solution design, architecture, implementation, testing strategy, DevOps, production readiness, and continuous improvement.
Act as a technical authority for complex Java/Spring, React, microservices, cloud/hybrid, and container-based solutions.
Drive XP practices with remote pairing, TDD/BDD, continuous integration and high-quality engineering standards.
Use AI-assisted development capabilities responsibly to accelerate delivery, improve design quality, generate tests, review code, support refactoring, and enhance engineering productivity
Our requirements
8+ years of hands-on software engineering experience, including significant experience in enterprise scale systems.
4+ years of front-end development experience, mainly React, with strong knowledge of modern JavaScript / TypeScript frameworks, component design, state management, and reactive UI patterns.
Expert level Java experience, including Spring / Spring Boot / Spring Cloud, microservices, RESTful APIs, and integration-oriented architecture
BSc in Software Engineering or BS degree in Computer Science, or equivalent practical engineering experience.
Strong experience in distributed systems design, API-first architecture, service resilience, service discovery, circuit breaker patterns, scalability, observability, and performance tuning.
Strong experience with TDD/BDD and automated testing using frameworks such as JUnit, Jasmine, Mockito, Protractor/Selenium, or equivalent modern tools.
Solid DevOps mindset and 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
Experience with Kotlin, functional programming, Java Streams, and modern JVM ecosystem practices - strong advantage.
Ability to evaluate technology options, make architectural trade-offs, and communicate technical recommendations clearly to both engineering and management stakeholders.
Self-starter with strong ownership, ability to prioritize complex work, drive decisions, and operate effectively in a rapidly changing environment.
Excellent problem-solving skills, high engineering judgment, strong critical thinking, and ability to simplify complex technical challenges.
Good English - verbal and written.
Optional
Practical experience using AI assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT/OpenAI based tools, or equivalent AI engineering assistants.
Ability to use AI tools to accelerate 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, IP awareness, validation of generated output, and human-in-the-loop review.
Experience integrating AI/LLM capabilities into applications, workflows, developer tooling, or automation processes - strong advantage.
Ability to identify practical AI use cases that improve developer productivity, reduce manual effort, and increase delivery quality without compromising security or maintainability.
What we offer
Work mode: 100% Remote
Cooperation with a unique client who provides opportunities for development in many complex and global supply chain projects.
Join a new IT Hub with new technologies and projects
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