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: 35-44k€ /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-18808-Ljbffr

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