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  • Leonardo · Roma - Via Tiburtina, 965, Italy
    midfull time10001+
    Aerospace & Defenseenglish

    Job Description: Leonardo is an international industrial group and a global leader in Aerospace, Defence, and Security, delivering multi-domain technological capabilities across the sectors of helicopters, aircraft, aerostructures, electronics, cybersecurity, and space. Within Leonardo’s Space Division, e-GEOS —a company owned by ASI (20%) and Telespazio (80%)—is a leading international player in the Earth Observation and geospatial information sector, offering a unique portfolio of application services. Within the organizational unit Chief Technological Innovation Office at the Rome office we are looking for a resource to cover the position of INSAR Geospatial Data Platform Engineer About the role We're growing our engineering capacity around a large-scale Earth Observation data processing system, handling satellite radar data at global scale. This role is responsible for ensuring the system's architecture is scalable, efficient, and production-grade, working alongside specialized technical partners and our science team, with growing ownership over time. You'll join the SAR Algorithms team in the Algorithms and Prototypes unit, reporting to the team lead, who will also mentor you technically as you take on more architectural responsibility. There is a clear growth path toward technical leadership of the system. What you'll do Review and assess technical architecture proposals (workflow orchestration, data handling, parallelization, resource usage) against project requirements, identifying scalability, performance, or cost risks. Translate requirements between our science team and technical partners and represent engineering standards in technical discussions. Review code for quality, maintainability, test coverage, and documentation. Track technical milestones and acceptance criteria, covering both functional correctness and non-functional aspects like performance and scalability. Maintain, extend, and debug components of the processing pipeline independently, with growing architectural ownership over time. Optimize pipeline performance for large-scale, big data processing: I/O efficiency, storage formats, parallel and distributed processing. Build pipeline- and resource-level monitoring so issues surface early. Work with the science team to integrate data-quality checks into the pipeline. Contribute to and strengthen existing CI/CD practices. Help ensure the system reliably meets internal performance and reliability expectations. What we're looking for Up to 5 years of experience in software/systems engineering, ideally with exposure to big data, data-intensive, or scientific computing pipelines. Solid hands-on programming skills in Python; comfort reading and working with C. Experience with, or strong conceptual understanding of, workflow orchestration tools (e.g. Snakemake, Prefect, Airflow, or similar). Experience with HPC and cloud computing environments. Good understanding of I/O and performance bottlenecks in large-scale data processing. Strong fundamentals in software engineering practice: testing, version control, code review, documentation. A track record of taking ownership and learning quickly. Comfortable reviewing and constructively challenging technical proposals, communicating clearly with both engineers and domain scientists. Good written/oral English skills (at least B2 level) Nice to have Experience with geospatial or Earth Observation data. Familiarity with chunked/array-based scientific computing tools (e.g. Dask, Xarray, Zarr). Exposure to cloud platforms (AWS, GCP, or Azure). Experience working with external technical partners or contractors. What we offer Our collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" Working mode: Hybrid Contract category: Clerk Contractual type: 12-month fixed term Thirteenth month; Reward related to Business results; Welfare vouchers; Ticket of 8.50 euros Opportunities for training and continuous updating of professional skills and soft skills; Well-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs. Seniority: Junior Primary Location: IT - Roma - Via Tiburtina, 965 Contract Type: Fixed term Total Base Pay Range: 35-44K Hybrid Working: Hybrid

    Posted 1 month agoView details
  • Leonardo · Roma - Via Tiburtina, 965, Italy
    juniorfull time10001+
    Aerospace & Defenseenglish

    Job 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. Within 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. We'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. Within 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. This 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. You'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. This is an early-career position with a clear growth path toward technical ownership of our cloud-native geospatial and AI platform stack. What you'll do Introduce reusable AI capabilities across e-GEOS products and platforms, including SEonSE, AWARE, MapCy, AgriGeo, brAInt and other GeoInformation Centre services. Transform existing prototypes and product-specific AI functions into secure, scalable and maintainable platform services and products. Build shared data and knowledge pipelines combining EO data, metadata, documents and operational information. Develop AI-assisted search, analysis, workflow automation, reporting and decision-support capabilities. Build and integrate REST APIs, microservices and backend components that provide access to geospatial data, AI services, metadata catalogues and operational workflows. Support deployment and operations of software and AI services on Kubernetes-based hybrid and cloud environments. Contribute to platform capabilities enabling orchestration of AI agents, RAG, Vector Database, Large Language Models (LLMs), Geospatial Foundation Models (GFMs) and external services. Develop CI/CD pipelines, automated testing frameworks and software delivery processes following DevOps and Platform Engineering principles. Collaborate with AI Engineers to transition experimental prototypes into production-grade solutions with appropriate reliability, scalability and security controls. Investigate and resolve performance bottlenecks, integration challenges and operational issues across platform components. Draft and maintain technical documentation, architecture diagrams, operational procedures and integration specifications. Contribute to evaluating emerging technologies in cloud-native geospatial computing, platform engineering, workflow orchestration and AI infrastructure. Skills Master’s degree in Software Engineering, Computer Science, Engineering, Mathematics, Physics, Geoinformatics or a related field, or equivalent experience. Up to 5 years of professional experience in software engineering, cloud platforms, geospatial applications or platform engineering activities. Solid software development skills, preferably using Python. Understanding of modern web architectures, APIs, authentication mechanisms and service-oriented or microservice-based systems. Familiarity with cloud platforms such as AWS or Azure. Familiarity with containerization technologies and Kubernetes-based deployments. Experience working with source control systems and collaborative development practices. Understanding of CI/CD concepts and modern software delivery workflows. Familiarity with DevOps and Platform Engineering principles. Ability to analyse technical problems, investigate root causes and contribute to effective solutions. Strong communication skills and ability to collaborate with engineers, scientists and external stakeholders. A proactive attitude, willingness to learn and ability to progressively take ownership of technical deliverables. Good Italian and English language skills. Nice to have Familiarity with Earth Observation, remote sensing or geospatial data management. Experience working with STAC, OGC APIs, COG, Zarr, Rasterio, GDAL, Xarray or related geospatial technologies. Familiarity with Retrieval-Augmented Generation (RAG) architectures and supporting platform components. Experience integrating vector databases such as pgvector, Qdrant, Weaviate or Milvus. Exposure to AI infrastructure, model serving platforms, inference APIs or LLM-enabled applications. Experience with workflow orchestration platforms such as Airflow, Argo Workflows or Prefect. Familiarity with GitLab, GitLab CI/CD and the Atlassian ecosystem. Awareness of cybersecurity, secure software development and cloud security best practices. Experience working with observability stacks such as Prometheus, Grafana, OpenTelemetry or similar technologies. Contributions to open-source projects or participation in geospatial, cloud or AI communities. What we offer Our collective bargaining agreement is the CCNL "Industria Metalmeccanica Privata e della Installazione di Impianti" Working mode: Hybrid Contract category: Clerk Contractual type: 12-month fixed term Thirteenth month; Reward related to Business results; Welfare vouchers; Ticket of 8.50 euros Opportunities for training and continuous updating of professional skills and soft skills; Well-being: We put the economic, physical, social and psychological well-being of our people first, offering multiple solutions close to their needs. Seniority: Junior Primary Location: IT - Roma - Via Tiburtina, 965 Contract Type: Fixed term Total Base Pay Range: 35-44k€ Hybrid Working: Hybrid

    Posted 1 month agoView details
  • Docebo · Toronto, Canada
    stafffull time501-1000
    E-learning

    Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide. THE DAY-TO-DAY 🛠️ - Architect the Future: Define long-term architectural standards and design resilient systems, leveraging our modern stack—including serverless services, Node.js (TypeScript), Golang, PHP, Angular, React, and AWS cloud infrastructure—to maximize performance and developer velocity. - Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes. - Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions. - Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output. - Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams. - Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results. - Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility. YOUR SUPERPOWERS ⚡ - SaaS Mastery: 10–12+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex SaaS products end-to-end. - Language & Tech Agility: Experience working with multi-language backends and frameworks—our stack uses PHP, Node.js, Golang, Angular, React, and serverless technology—and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency. - AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output. - Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing. - DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices. - Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs. - Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority. BONUS POINTS 🎯 - Diverse Tech Expertise: Hands-on experience with modern backend or frontend languages (Node.js, TypeScript, Go, Angular, React Native) that add versatility to our multi-tech ecosystem. - Advanced Academic Background: A Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related field (or equivalent practical experience). OUR INTERVIEW PROCESS 📋 - Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. - Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. - Step 3: A deep-dive technical and architectural assessment to explore your approach to system design, AI leverage, and problem-solving. - Step 4: A final panel interview focusing on cross-functional collaboration, product strategy alignment, and leadership. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to [email protected]. The email should also include the position you’re interested in.

    Posted 1 month agoView details
  • Satispay · Milan, Italy
    seniorfull time501-1000
    Fintechenglish

    About us Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world. If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of. What you'll be doing As our Senior Backend Software Engineer, you'll own the engineering backbone of our payment platform, ensuring high-performing and scalable core systems. Here's what that looks like in practice: - Engineer core platform domains - Design and evolve our most sensitive systems—such as the Transaction Ledger, Identity & Access Management (IAM), or Payment Orchestration—ensuring they remain functional for product teams. - Scale risk & financial engines - Optimize and implement services dedicated to bank integrations, credit risk, and real-time fraud detection to protect our "source of truth." - Cross-team technical leadership - Drive technical analysis for projects that span across multiple services and produce high-quality documentation (Smart Papers) for stakeholders. - Foster engineering excellence - Ensure technical quality through rigorous testing strategies and safe rollouts, promoting a culture of simplicity and maintainability. - Mentor & develop - Provide technical guidance to junior and mid-level engineers, helping the team adopt the best tools to accelerate development cycles. Who we're looking for This role needs someone who is a problem-solver, loves teamwork, and gets things done with a high degree of curiosity and readiness for real ownership. - Extensive experience - At least 5 years of related experience in back-end software engineering, with a track record in microservices and cloud environments (AWS preferred). - Technical depth - Deep experience with Java and Spring Boot, alongside a strong understanding of distributed systems. - Structured communication - Ability to communicate complex technical concepts clearly and coordinate implementations across different teams. - Impact mindset - Focus on delivering software that meets evolving user needs, avoiding analysis paralysis to optimize systems beyond initial requirements. - Passion & language proficiency - Passionate about FinTech and fluent in English. Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply. CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: - ❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops. - 💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries. - ⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply. - 🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours. - 👨‍👩‍👧 Family: enhanced parental leave, additional leave for child sickness. *We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. Salary: €51,000 - €66,500 gross per annum This range is set using objective, gender-neutral criteria for the role's core requirements. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value.   Equal opportunity employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! Learn more about us Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here https://www.satispay.com/en-it/work-at-satispay/.   #LI-VR1 #LI-Hybrid By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/

    Posted 4 months agoView details