pbJob Description: /b /p pbLeonardo /b 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.
/p pWithin Leonardo's Space Division, be-GEOS /b , 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.
/p pWe're building the next generation of Earth Observation (EO) products powered by cloud-native geospatial technologies, Generative AI, knowledge retrieval systems, and intelligent automation.
We 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.
/p pWithin the Chief Technological Innovation Office organizational unit we are looking a resource to cover the position of bGeospatial Platform Engineer - AI focus at the Rome office.
/b /p pThis 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.
/p pYou'll work closely with AI Engineers, Remote Sensing Scientists, Product Owners and external suppliers to transform prototypes into reliable, secure and scalable production services.
You'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.
/p pThis is an early-career position with a clear growth path toward technical ownership of our cloud-native geospatial and AI platform stack.
/p h3What you'll do /h3 ul liIntroduce reusable AI capabilities across e-GEOS products and platforms, including SEonSE, AWARE, MapCy, AgriGeo, brAInt and other GeoInformation Centre services.
/li liTransform existing prototypes and product-specific AI functions into secure, scalable and maintainable platform services and products.
/li liBuild shared data and knowledge pipelines combining EO data, metadata, documents and operational information.
/li liDevelop AI-assisted search, analysis, workflow automation, reporting and decision-support capabilities.




/li liBuild and integrate REST APIs, microservices and backend components that provide access to geospatial data, AI services, metadata catalogues and operational workflows.
/li liSupport deployment and operations of software and AI services on Kubernetes-based hybrid and cloud environments.
/li liContribute to platform capabilities enabling orchestration of AI agents, RAG, Vector Database, Large Language Models (LLMs), Geospatial Foundation Models (GFMs) and external services.
/li liDevelop CI/CD pipelines, automated testing frameworks and software delivery processes following DevOps and Platform Engineering principles.
/li liCollaborate with AI Engineers to transition experimental prototypes into production-grade solutions with appropriate reliability, scalability and security controls.
/li liInvestigate and resolve performance bottlenecks, integration challenges and operational issues across platform components.
/li liDraft and maintain technical documentation, architecture diagrams, operational procedures and integration specifications.
/li liContribute to evaluating emerging technologies in cloud-native geospatial computing, platform engineering, workflow orchestration and AI infrastructure.
/li /ul h3Skills /h3 ul liMaster's degree in Software Engineering, Computer Science, Engineering, Mathematics, Physics, Geoinformatics or a related field, or equivalent experience.
/li liUp to 5 years of professional experience in software engineering, cloud platforms, geospatial applications or platform engineering activities.
/li liSolid software development skills, preferably using Python.
/li liUnderstanding of modern web architectures, APIs, authentication mechanisms and service-oriented or microservice-based systems.
/li liFamiliarity with cloud platforms such as AWS or Azure.
/li liFamiliarity with containerization technologies and Kubernetes-based deployments.
/li liExperience working with source control systems and collaborative development practices.




/li liUnderstanding of CI/CD concepts and modern software delivery workflows.
/li liFamiliarity with DevOps and Platform Engineering principles.
/li liAbility to analyse technical problems, investigate root causes and contribute to effective solutions.
/li liStrong communication skills and ability to collaborate with engineers, scientists and external stakeholders.
/li liA proactive attitude, willingness to learn and ability to progressively take ownership of technical deliverables.
/li liGood Italian and English language skills.
/li /ul h3Nice to have /h3 ul liFamiliarity with Earth Observation, remote sensing or geospatial data management.
/li liExperience working with STAC, OGC APIs, COG, Zarr, Rasterio, GDAL, Xarray or related geospatial technologies.
/li liFamiliarity with Retrieval-Augmented Generation (RAG) architectures and supporting platform components.
/li liExperience integrating vector databases such as pgvector, Qdrant, Weaviate or Milvus.
/li liExposure to AI infrastructure, model serving platforms, inference APIs or LLM-enabled applications.
/li liExperience with workflow orchestration platforms such as Airflow, Argo Workflows or Prefect.
/li liFamiliarity with GitLab, GitLab CI/CD and the Atlassian ecosystem.
/li liAwareness of cybersecurity, secure software development and cloud security best practices.
/li liExperience working with observability stacks such as Prometheus, Grafana, OpenTelemetry or similar technologies.
/li liContributions to open-source projects or participation in geospatial, cloud or AI communities.
/li /ul h3What we offer /h3 ul liOur collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" /li liWorking mode: Hybrid /li liContract category: Clerk /li libContractual type: 12-month fixed term /b /li liThirteenth month; /li liReward related to Business results; /li liWelfare vouchers; /li liTicket of 8.50 euros /li liOpportunities for training and continuous updating of professional skills and soft skills; /li liWell-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.
/li /ul h3Seniority /h3 pJunior /p h3Primary Location /h3 pIT - Roma - Via Tiburtina, 965 /p h3Contract Type /h3 pPermanent /p h3Total Base Pay Range /h3 p*****k€ /p h3Hybrid Working /h3 pHybrid /p #J-*****-Ljbffr

📌 Geospatial Platform Engineer - Ai Focus (Lazio)
🏢 Leonardo
📍 Lazio