{"id":3037359,"url":"https://alion.io/job/leonardo-geospatial-platform-engineer","title":"Geospatial Platform Engineer","company":{"id":54177,"name":"Leonardo","domain":"leonardo.com","url":"https://alion.io/company/leonardo-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":158,"ghost_share":0,"stale_share":0.987,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-26T05:57:25Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rome, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":35000,"max":44000,"currency":"EUR","period":"year","gross":null,"usd_annual":49390},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"GDAL","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Argo Workflows","optional":true},{"name":"Grafana","optional":true},{"name":"LLM","optional":true},{"name":"Milvus","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prefect","optional":true},{"name":"Prometheus","optional":true},{"name":"Qdrant","optional":true},{"name":"RAG","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-25T14:37:26Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Job Description:\nLeonardo 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.\nWithin 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.\nWe're expanding our engineering capabilities around cloud-native geospatial platforms and Earth Observation (EO) services. We are looking for a Geospatial Platform Engineer to help design, develop and operate scalable software systems that enable discovery, access, processing and integration of geospatial and EO data across cloud and hybrid environments.\nWithin the \"Chief Technological Innovation Office \" organizational unit at theRome office we are looking for a resource to cover the position of Geospatial Platform Engineer\nThis role contributes to the development of APIs, data services, geospatial catalogues and user-facing applications, while supporting the deployment and operation of services on modern cloud-native infrastructure. You will work closely with senior architects, software engineers, scientists and external partners to translate business and technical requirements into reliable, interoperable and production-ready solutions.\nYou will join a multidisciplinary engineering team and progressively take ownership of platform components, architecture decisions and integration activities as your experience grows.\nThis is an early-career position with a clear growth path toward technical ownership of geospatial platform architecture and cloud-native service development\nWhat you'll do\nSupport activites of the Commercial User Terminal (CUT) as an operational platform for EO acquisition planning, Ground Segment interfaces, status management and decision traceability.\nEvolve and integrate existing platforms such as SEonSE, AWARE, MapCy, AgriGeo, brAInt and CUT within the modular GIC architecture.\nDevelop reusable platform services, APIs and integration components while preserving each product’s domain-specific capabilities.\nApply open geospatial standards, including STAC and OGC APIs, to build interoperable catalogue, search and data-access capabilities.\nWork with modern cloud-native geospatial formats and tooling, including COG, Zarr, GDAL/rasterio and Xarray.\nBuild and integrate REST APIs, backend services and data processing components following established software engineering practices.\nExplore and prototype automation opportunities, including AI-assisted and agent-based solutions supporting data curation, operational workflows, testing and documentation.\nContribute to user-facing capabilities with a focus on usability, including API-first services, notebook-based workflows and interactive geospatial applications.\nParticipate in the design and implementation of data ingestion, transformation and integration workflows across multiple systems and providers.\nContribute to CI/CD pipelines, automated testing processes and software delivery workflows.\nTroubleshoot performance, configuration and integration issues across platform components with support from senior team members.\nCollaborate with internal teams and technical suppliers on integration activities, technical reviews and delivery milestones.\nProduce and maintain technical documentation, software design specifications, requirements analyses and operational procedures.\nStay informed about emerging technologies and best practices in cloud-native geospatial platforms, workflow orchestration and AI-enabled automation.\nSkills:\nMaster’s degree in Software Engineering, Computer Science, Engineering, Mathematics, Physics, Geoinformatics or a related field, or equivalent experience.\nUp to 5 years of experience in software engineering, platform engineering, geospatial applications or related technical fields.\nStrong software development skills, preferably in Python.\nUnderstanding of modern web application and API architectures, including REST APIs, authentication mechanisms and basic microservice patterns.\nWorking knowledge of at least one cloud platform such as AWS or Azure.\nFamiliarity with container technologies and Kubernetes-based deployments.\nUnderstanding of software configuration management, version control and collaborative development practices.\nFamiliarity with DevOps principles and development toolchains, including GitLab, GitLab CI/CD and Atlassian products.\nAbility to analyse technical challenges, investigate issues methodically and contribute to effective solutions.\nStrong communication skills and ability to collaborate effectively with engineers, architects, scientists and external stakeholders.\nDemonstrated willingness to learn rapidly and progressively take ownership of technical responsibilities.\nGood written and spoken English.\nNice to have\nFamiliarity with Earth Observation, remote sensing or geospatial data management.\nExperience working with STAC, OGC APIs, COG, Zarr, Rasterio, GDAL, Xarray or related geospatial technologies.\nFamiliarity with Retrieval-Augmented Generation (RAG) architectures and supporting platform components.\nExperience integrating vector databases such as pgvector, Qdrant, Weaviate or Milvus.\nExposure to AI infrastructure, model serving platforms, inference APIs or LLM-enabled applications.\nExperience with workflow orchestration platforms such as Airflow, Argo Workflows or Prefect.\nFamiliarity with GitLab, GitLab CI/CD and the Atlassian ecosystem.\nAwareness of cybersecurity, secure software development and cloud security best practices.\nExperience working with observability stacks such as Prometheus, Grafana, OpenTelemetry or similar technologies.\nContributions to open-source projects or participation in geospatial, cloud or AI communities.\nWhat we offer\nOur collective bargaining agreement is the CCNL \"Industria Metalmeccanica Privata e della Installazione di Impianti\"\nWorking mode: Hybrid\nContract category: Clerk\nContractual type: 12-month fixed term\nThirteenth month;\nReward related to Business results;\nWelfare vouchers;\nTicket of 8.50 euros\nOpportunities for training and continuous updating of professional skills and soft skills;\nWell-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs.\nSeniority:\nJuniorPrimary Location:\nIT - Roma - Via Tiburtina, 965Contract Type:\nFixed termTotal Base Pay Range:\n35-44K€Hybrid Working:\nHybrid","description_format":"text","description_chars":6626,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Italy","iso":"IT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["C4ISR","Defense Manufacturing","Aircraft Manufacturing"],"lifecycle":[{"event":"open","at":"2026-10-21T21:46:33Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":7,"expected_fill_days":24,"reasons":["conf:15","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":49390,"is_top_pay":false},"html_url":"https://alion.io/job/leonardo-geospatial-platform-engineer","json_url":"https://alion.io/job/leonardo-geospatial-platform-engineer.json","meta":{"generated_at":"2026-10-26T10:30:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they 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