10 ago - Lazio
E-Geos
ppbLeonardo /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.
/ppWithin 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.
/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.
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.
/ppWithin 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 /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.
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.
/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 /h3ulliWorking mode: Hybrid /lilibContractual type: 12-month fixed term /b /liliThirteenth month; /liliReward related to Business results; /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.
/li /ul /p #J-*****-Ljbffr
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