{"id":2113973,"url":"https://alion.io/job/spyrosoft-engineering-manager-java-full-stack-ai-2","title":"Engineering Manager - Java Full Stack & AI","company":{"id":933,"name":"Spyrosoft","domain":"spyro-soft.com","url":"https://alion.io/company/spyrosoft","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"B","score":73,"open_postings":95,"ghost_share":0.537,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, 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development practices.\n\nStrong hands-on experience with Spring Boot and the Spring ecosystem.\n\nCommercial Full Stack development experience with Angular and/or React.\n\nSolid understanding of modern JavaScript/TypeScript frameworks and frontend development.\n\nExperience designing and developing REST APIs and microservices-based solutions.\n\nStrong knowledge of software architecture, system design, and integration patterns.\n\nExperience working with distributed systems, event-driven architectures, and scalable applications.\n\nCommercial experience with AI-powered solutions, including Large Language Models (LLMs), AI agents, or agentic workflows.\n\nExperience using AI-assisted development tools such as GitHub Copilot or similar solutions.\n\nAbility to assess the technical and business feasibility of AI initiatives and contribute to high-level estimations.\n\nUnderstanding of AI adoption from both business value and ROI perspectives.\n\nCommercial experience with at least one major cloud platform (Azure, AWS, or GCP).\n\nPractical knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC).\n\nStrong understanding of Software Development Lifecycle (SDLC) and Product Development Lifecycle (PDLC).\n\nExperience working in Agile delivery environments and applying modern engineering practices.\n\nAbility to translate business requirements into scalable technical solutions.\n\nExperience mentoring engineers and/or providing technical leadership.\n\nStrong stakeholder management and client-facing communication skills.\n\nExperience supporting recruitment activities, technical interviews, and competency assessments.\n\nFluent English (B2+/C1).\n\nNice to Have:\nPractical experience with Terraform, Kubernetes, Docker, or similar containerization and infrastructure technologies.\n\nExperience working with Kafka and event-driven architectures.\n\nKnowledge of Retrieval-Augmented Generation (RAG) and related AI implementation patterns.\n\nFamiliarity with AI orchestration frameworks and enterprise AI integrations.\n\nExperience supporting presales activities, technical discovery workshops, and solution design.\n\nBackground in Financial Services, Banking, or FinTech projects.\n\nExperience working in consulting, outsourcing, or multi-client environments.\n\nAdditional foreign language skills, particularly German and/or French.\n\nAdvanced knowledge of DevOps practices and Infrastructure as Code (IaC).\n\nProject Description:\nIn this role, you will serve as a trusted partner for clients, engineering teams, and internal stakeholders. You will balance hands-on technical involvement with broader responsibilities across delivery management, solution design, team leadership, technical consulting, and business growth. You will be expected to navigate complex project environments, assess both technical and organizational challenges, and help define pragmatic, scalable solutions. A key element of the role is supporting AI-related initiatives by evaluating their feasibility, cost, implementation complexity, and expected business value. 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