ppJob Description: Leonardo is a global industrial group, among the main global players in Aerospace, Defence and Security that realises multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space.
/ppWithin Leonardo's Space Division, e-GEOS, an ASI (20%) and Telespazio (80%) company, is one of the leading international operators in the Earth Observation and geospatial information sector and offers a unique portfolio of application services.
/ppWe're building the next generation of Earth Observation (EO) products powered by cloud-native geospatial technologies, Generative AI, knowledge retrieval systems, and intelligent automation.
/ppWe are looking for a Geospatial Platform Engineer to help design, implement, and operate the software platforms that enable scalable AI and EO solutions in production.
/ppWithin the Chief Technological Innovation Office organizational unit we are looking a resource to cover the position of Geospatial Platform Engineer - AI focus at the Rome office.
/ppThis role is responsible for developing and operating the underlying data, platform, and integration capabilities that support modern EO applications, including Retrieval-Augmented Generation (RAG) systems, agent-based workflows, geospatial data catalogs, and cloud-native data services.
/ppYou'll work closely with AI Engineers, Remote Sensing Scientists, Product Owners and external suppliers to transform prototypes into reliable, secure and scalable production services.
/ppYou'll be based in Rome and report to the reference technical lead, who will mentor you as you progressively take ownership of platform design and architecture decisions.
/ppThis is an early-career position with a clear growth path toward technical ownership of our cloud-native geospatial and AI platform stack.
/ph3What you'll do /h3ulliIntroduce reusable AI capabilities across e-GEOS products and platforms, including SEonSE, AWARE, MapCy, AgriGeo, brAInt and other GeoInformation Centre services.
/liliTransform existing prototypes and product-specific AI functions into secure, scalable and maintainable platform services and products.
/liliBuild shared data and knowledge pipelines combining EO data, metadata, documents and operational information.
/liliDevelop AI-assisted search, analysis, workflow automation, reporting and decision-support capabilities.
/liliBuild and integrate REST APIs, microservices and backend components that provide access to geospatial data, AI services,

metadata catalogues and operational workflows.
/liliSupport deployment and operations of software and AI services on Kubernetes-based hybrid and cloud environments.
/liliContribute to platform capabilities enabling orchestration of AI agents, RAG, Vector Database, Large Language Models (LLMs), Geospatial Foundation Models (GFMs) and external services.
/liliDevelop CI/CD pipelines, automated testing frameworks and software delivery processes following DevOps and Platform Engineering principles.
/liliCollaborate with AI Engineers to transition experimental prototypes into production-grade solutions with appropriate reliability, scalability and security controls.
/liliInvestigate and resolve performance bottlenecks, integration challenges and operational issues across platform components.
/liliDraft and maintain technical documentation, architecture diagrams, operational procedures and integration specifications.
/liliContribute to evaluating emerging technologies in cloud-native geospatial computing, platform engineering, workflow orchestration and AI infrastructure.
/li /ulh3Skills /h3ulliMaster's degree in Software Engineering, Computer Science, Engineering, Mathematics, Physics, Geoinformatics or a related field, or equivalent experience.
/liliUp to 5 years of professional experience in software engineering, cloud platforms, geospatial applications or platform engineering activities.
/liliSolid software development skills, preferably using Python.
/liliUnderstanding of modern web architectures, APIs, authentication mechanisms and service-oriented or microservice-based systems.
/liliFamiliarity with cloud platforms such as AWS or Azure.
/liliFamiliarity with containerization technologies and Kubernetes-based deployments.
/liliExperience working with source control systems and collaborative development practices.
/liliUnderstanding of CI/CD concepts and modern software delivery workflows.
/liliFamiliarity with DevOps and Platform Engineering principles.
/liliAbility to analyse technical problems, investigate root causes and contribute to effective solutions.

/liliStrong communication skills and ability to collaborate with engineers, scientists and external stakeholders.
/liliA proactive attitude, willingness to learn and ability to progressively take ownership of technical deliverables.
/liliGood Italian and English language skills.
/li /ulh3Nice to have /h3ulliFamiliarity with Earth Observation, remote sensing or geospatial data management.
/liliExperience working with STAC, OGC APIs, COG, Zarr, Rasterio, GDAL, Xarray or related geospatial technologies.
/liliFamiliarity with Retrieval-Augmented Generation (RAG) architectures and supporting platform components.
/liliExperience integrating vector databases such as pgvector, Qdrant, Weaviate or Milvus.
/liliExposure to AI infrastructure, model serving platforms, inference APIs or LLM-enabled applications.
/liliExperience with workflow orchestration platforms such as Airflow, Argo Workflows or Prefect.
/liliFamiliarity with GitLab, GitLab CI/CD and the Atlassian ecosystem.
/liliAwareness of cybersecurity, secure software development and cloud security best practices.
/liliExperience working with observability stacks such as Prometheus, Grafana, OpenTelemetry or similar technologies.
/liliContributions to open-source projects or participation in geospatial, cloud or AI communities.
/li /ulh3What we offer /h3pOur collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" /pulliWorking mode: Hybrid /liliContract category: Clerk /liliContractual type: 12-month fixed term /liliThirteenth month; Reward related to Business results; /liliWelfare vouchers; /liliTicket of 8.50 euros /liliOpportunities for training and continuous updating of professional skills and soft skills; /liliWell-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.
/liliSeniority: Junior /liliPrimary Location: IT - Roma - Via Tiburtina, 965 /liliContract Type: Fixed term /liliTotal Base Pay Range: *****k€ /liliHybrid Working: Hybrid International, multicultural, innovative, technological: this is Leonardo.
/li /ulpThe company's passionate and talented team is strongly influenced by STEM (Science, Technology, Engineering, Mathematics) expertise, with a diverse range of experience that enables colleagues to share knowledge and know-how across the generations.
/ppLeonardo always wants to expand its talent pool, here you can find the right opportunity for you!
/p /p #J-*****-Ljbffr

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