05 ago - Milano
Duferco
ppWe are expanding Duferco’s Corporate Innovation Team and are looking for a bhands‑on Software Architect who can shape how we design, build, and evolve internal software in an AI‑native engineering environment. /b /p pYou will work across domains such as energy, trading, logistics, steel, insurance, sports, and other sectors, turning messy business problems into well‑structured systems that AI and humans can implement safely and maintain over time. /p pYou will define bpragmatic architectures, guide AI‑assisted implementation, establish engineering patterns, and build internal platforms, AI‑enabled tools, automation systems, and backend infrastructure /b that create leverage across the group. /p h3About the Team /h3 pWe sit close to real business problems and have the freedom to prototype and ship quickly. AI is already part of our daily workflow, and we expect architects to help us use it with discipline, not just speed. /p pWe care about building things well: clear boundaries, maintainable systems, observable services, useful abstractions, and technical decisions that fit the business context. /p pWe appreciate people who combine architectural thinking with hands‑on delivery, collaborate effectively with AI tools, and help the team produce software that is coherent, testable, secure, and easy to evolve. /p h3What You’ll Do /h3 pShape the architecture of systems that make the organization faster and smarter: /p ul liDesign target architectures for internal platforms, backend services, APIs, data flows, and AI‑enabled applications /li liTranslate ambiguous business processes into clear domain models, service boundaries, integration patterns,
and implementation plans /li liGuide AI‑assisted implementation by breaking work into well‑structured tasks, reviewing generated code, and ensuring architectural consistency /li liCreate reusable patterns, reference implementations, architectural decision records, and engineering guidelines for the team /li liWork hands‑on with FastAPI, Postgres, AWS‑based services, data platforms, LLM applications, agents, and automation tools where useful /li liDesign integrations across internal and third‑party systems with attention to reliability, security, data ownership, and maintainability /li /ul pYou will not just define diagrams or write specifications. You will help AI and humans implement the right architecture in real software, validate it in production, and improve it over time. /p h3What We Offer /h3 ul liA high‑autonomy architecture role with direct influence on what gets built and how it gets built /li liModern AI‑assisted engineering tools and time to explore new technologies, patterns, and development workflows /li liA fast‑moving,
collaborative environment with talented and ambitious people /li liA broad variety of technical and business challenges across different domains /li liCompetitive compensation and benefits /li liFlexible working hours and hybrid work setup /li /ul h3You’re Probably a Fit If /h3 ul liYou have 5+ years building production software systems, with strong experience designing backend architectures and owning services from concept to deployment /li liA Master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline; equivalent advanced technical experience may also be considered /li liYou can turn a messy business problem into a clean domain model, data model, service design, and implementation plan /li liYou make pragmatic architecture decisions, explain trade‑offs, and adapt designs as reality changes /li liYou have strong Python backend experience and can work hands‑on with FastAPI, Postgres, APIs, integrations, and AWS‑based services /li liYou use AI coding tools daily — Claude Code, Codex, Cursor, or similar — and know how to guide them with clear architecture, constraints, tests, and review practices /li liYou care about software quality beyond the first implementation: modularity, observability, testing, security, migrations, operational reliability, and maintainability /li liExperience with LLM applications, agent frameworks, MCP servers, event‑driven architectures, data warehouses such as Redshift, or complex operational domains is a strong plus /li /ul pYou do not need experience with every technology we use. Strong architectural judgment, hands‑on engineering ability, adaptability, and curiosity about AI‑assisted software development matter much more. /p pIf this sounds like the right fit for you, we’d love to hear from you. /p /p #J-18808-Ljbffr
06 ago - Roma
Cultura Dimpresa
06 ago - Roma
masiero impianti
06 ago - Roma
Openjobmetis
06 ago - San Giovanni Lupatoto
Adecco