Lead Backend Engineer – Java and AI/ML

Gft Technologies Poland — Poland · Posted ~3 hours ago

Lead Full-time 22500-34500 PLN gross

Skills

Java Microservices Backend development AI/ML CI/CD Unit testing Integration testing Software architecture SRE

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Summary ✨ AI‑Generated

Lead the backend engineering effort for a large-scale enterprise modernization program. You will design, build, integrate, release, and support secure Java microservices while contributing to an AI-enabled software development lifecycle and working closely with architecture, QA, SRE, and platform teams.

Highlights

Lead backend engineering work on a large-scale enterprise transformation, with a strong focus on Java microservices, AI-enabled development, secure architecture, and resilient systems. Attractive gross salary range and collaboration with experienced technical teams.

Description

Type of contract: Employment contract Salary range: 22500-34500 PLN gross What will you do? You will join a large-scale enterprise transformation initiative focused on modernizing and enhancing critical business applications. In this role, you will design, develop, integrate, and support enterprise-grade Java microservices while contributing to an AI-enabled software development lifecycle. You will work closely with architects, Tech Leads, QA, SRE, and platform teams to deliver secure, scalable, and resilient solutions in a complex, highly regulated environment. Your tasks Build, test, release, and support Java microservices and related componentsContribute to solution design and integration patterns aligned with target architecture and non-functional requirementsIdentify and help resolve technical risks, dependencies, and delivery blockersFollow and contribute to engineering standards, CI/CD practices, and quality controlsDeliver robust unit, integration, and contract testingParticipate in design reviews, code reviews, and security reviewsUse AI-assisted engineering tools while maintaining security, quality, and governance standardsApply GenAI development practices including LLM usage, RAG concepts, and agent-based workflowsBuild production-ready services with strong observability and operational readinessSupport release activities, integrations, and environment readinessCollaborate with engineering, architecture, QA, platform, and operations teamsContribute to continuous improvement initiatives and engineering excellence Your skills At least 8 years of professional software engineering experienceStrong hands-on experience with Python development in enterprise-scale environmentsGood practical knowledge of Java and experience working with Java microservices based on Spring BootExperience working in enterprise-scale environmentsStrong knowledge of Oracle or PostgreSQL databasesExperience with schema design, performance optimization, and transactional systemsStrong unit and integration testing experience using tools such as JUnit, Mockito, and TestcontainersExperience with API and contract testingHands-on experience with Azure cloud servicesExperience with CI/CD pipelines and quality gatesKnowledge of Jenkins or GitLabUnderstanding of Sonar, SAST, DAST, and dependency scanningStrong understanding of REST APIs, messaging, event-driven architectures, and integration patternsExperience contributing to technical design decisions and architectural discussionsLeadership experience and strong collaboration skillsPractical exposure to GenAI tools and software engineering use casesUnderstanding of LLM concepts, RAG patterns, AI governance, and engineering controlsKnowledge of secure coding practices and security-by-design principles Nice to have Experience in financial services or other highly regulated industriesKnowledge of containers and KubernetesExposure to service mesh technologiesExperience with observability platforms, logging, metrics, and tracingExperience with performance engineering and resilience testingPrevious experience implementing AI-enabled SDLC practicesHands-on experience building RAG solutions or integrating GenAI capabilitiesExperience with prompt engineering, evaluation frameworks, or AI governance controls We offer Hybrid work in our client's office (Kraków) 6-8 days a monthWorking in a highly experienced and dedicated teamBenefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)Online training and certificationsAccess to e-learning platformSocial events