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Текст:
Hirify AI/Оригинал
TL;DR
Lead Backend Consultant (Java/AI/ML): Building and supporting enterprise-grade Java microservices for a large-scale transformation initiative with an accent on secure integration, resilient architecture, and AI-enabled software development. Focus on designing production-ready services, applying LLM, RAG, and agent-based workflows, and solving complex testing, observability, governance, and security challenges.
Location: Kraków, Poland; hybrid work from the client's office is required 8 days per month.
Salary: 200–265 PLN/hour; B2B contract.
Company
hirify.global is hiring for a large-scale enterprise transformation initiative focused on modernizing critical business applications.
What you will do
Build, test, release, integrate, and support enterprise-grade Java microservices and related components.
Contribute to solution design, target architecture, integration patterns, and non-functional requirements.
Identify technical risks, dependencies, and delivery blockers while supporting release and environment readiness.
Implement unit, integration, contract, and API testing alongside CI/CD practices and quality controls.
Use AI-assisted engineering tools and apply LLM, RAG, and agent-based development practices within security and governance standards.
Build production-ready services with strong observability and collaborate with architecture, QA, SRE, platform, and operations teams.
Requirements
At least 8 years of professional software engineering experience in enterprise-scale environments.
Strong hands-on Python development experience and good practical knowledge of Java with Spring Boot microservices.
Strong knowledge of Oracle or PostgreSQL, including schema design, performance optimization, and transactional systems.
Strong unit and integration testing experience with tools such as JUnit, Mockito, and Testcontainers; experience with API and contract testing.
Hands-on experience with Azure cloud services, CI/CD pipelines, quality gates, and Jenkins or GitLab.
Understanding of Sonar, SAST, DAST, dependency scanning, secure coding, and security-by-design principles.
Strong understanding of REST APIs, messaging, event-driven architectures, and integration patterns.
Experience contributing to technical design decisions and architectural discussions, with leadership and collaboration skills.
Practical experience with GenAI tools, LLM concepts, RAG patterns, AI governance, engineering controls, and software engineering use cases.
Openness to hybrid work from the client's Kraków office 8 days per month.
Nice to have
Experience in financial services or other highly regulated industries.
Knowledge of containers, Kubernetes, and service mesh technologies.
Experience with observability platforms, logging, metrics, tracing, performance engineering, and resilience testing.
Previous experience implementing AI-enabled SDLC practices or building RAG solutions and integrating GenAI capabilities.
Experience with prompt engineering, evaluation frameworks, or AI governance controls.
Culture & Benefits
Work on a large-scale enterprise transformation in a complex, highly regulated environment.
Collaborate across engineering, architecture, QA, SRE, platform, and operations teams.
Contribute to engineering standards, continuous improvement, and engineering excellence.
B2B contract with hybrid office attendance in Kraków.
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