Docebo · Canada

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 founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning. 🛠️ THE DAY-TO-DAY - Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients. - Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration. - Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub. - Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem. - Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization. - Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design. 💪 YOUR SUPERPOWERS - Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products. - Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders. - Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one. - Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback. - Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript). - Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers. ✨ BONUS POINTS - Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments. - Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools. 💬 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 hands-on technical deep dive and architecture discussion with key stakeholders. - Step 4: A final conversation focused on culture fit, team dynamics, and cross-functional alignment. 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.

ShopFully · Italy

We are the platform turning browsing into shopping . We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. In 2024, Shopfully joined forces with the North American company Flipp , creating a global leader in the sector. Together, we reach 400 million households and serve over 1,000 top retailers and brands across 27 markets, including Europe, Canada, the USA, Latin America, and Australia. Ready to  spark your growth with us? WHO WE LOOK FOR 🦄 We are looking for a Senior Machine Learning Engineer to join our Audience Platform team within Ad Products. In this role, you will own and extend both the machine learning systems and the corresponding backend infrastructure that power 1P, 2P, and 3P audience data across Flipp and Shopfully. This is an engineering-first role for someone who builds and operates production ML systems end-to-end—not a research scientist handing off code to someone else to productionize. You bring hands-on comfort with statistics, model selection, building, tuning, and experiment design, combined with strong software engineering fundamentals to build scalable pipelines on core tables running into tens of billions of rows. If you are passionate about MLOps, scalable feature engineering, and shipping production ML systems that drive measurable business impact, this role is for you!   WHAT YOU WILL DO 🏄 End-to-End ML Systems Ownership: Design, build, deploy, and monitor production ML models and pipelines—such as the IAB Segmentation Model, Retailer & Category Affinity Segments, and Custom Segment Toolkits.   Feature & Data Engineering at Scale: Build and maintain high-volume feature engineering and data pipelines using Spark, Databricks, Python, and SQL, working with core tables containing tens of billions of rows.   MLOps & Model Lifecycle Management: Implement robust MLOps practices, including model registries, offline/online evaluation, experiment tracking (MLflow or equivalent), and monitoring for data/model drift and quality.   Audience Platform Integration: Collaborate on the platform side (Audience API, User Profile API, Kafka Topics, and activation integrations like DV360, Braze, and TTD) to ensure models seamlessly integrate into downstream production services.   Experimentation & Model Tuning: Design and execute offline evaluations and A/B tests to validate modeling impact, optimize hyperparameters, and unlock new data signals (e.g., Store Trip Data).   Privacy & Compliance: Plan and execute modeling and data pipeline initiatives in strict accordance with data regulatory laws (GDPR, CCPA, consent management).   Cross-Functional Collaboration & AI Workflows: Partner with Product Analytics, Marketing Science, Data Engineers, and Software Engineers to drive revenue OKRs. Utilize AI-assisted development tools (e.g., Cursor, Claude Code) to maximize daily throughput.   WHAT YOU WILL NEED 🪄 Strong Software Engineering Fundamentals: Comfortable owning and operating production backend/data systems end-to-end, including participating in the team's on-call rotation.   End-to-End Production ML Track Record: Proven experience across the full ML lifecycle: feature engineering on Databricks/Spark, model training, evaluation, deployment, and monitoring in production.   Genuine Modeling & Statistics Skills: Ability to build, tune, and evaluate models from scratch, with solid grounding in statistics, hyperparameter tuning, and experiment design (A/B testing).  Data Scale & Tech Stack Mastery: Strong proficiency in Python, Spark, SQL, and Databricks. Comfort with distributed data pipelines at real scale.   MLOps Fluency: Experience with ML lifecycle tools (MLflow or equivalent), model registries, and production monitoring for drift/quality.   Active Use of AI Coding Agents: Hands-on use of AI development tools (e.g., Cursor, Claude Code) to increase personal engineering throughput.   Education: Bachelor's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.   Fluent in English: Strong written and spoken communication skills with overlap availability into North American hours (9am to 12pm EST)   👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you! NICE TO HAVE  🎆 Ad-tech or programmatic advertising context.   Privacy engineering background (GDPR, CCPA).   Deep Databricks platform administration knowledge.   Familiarity with LLM platforms (OpenAI, Gemini) and embedding research. SALARY RANGE ⚖️ : €50,000 – €70,000 fixed gross salary per year.   LOCATION 🌐   While we have offices in Milan , Barcelona and Sofia , you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe. Full remote available from Europe.   WHAT YOU WILL FIND AT SHOPFULLY 🤗 🌎 An opportunity to thrive in a rapidly scaling multinational company 🕶️ A vibrant, informal, and inclusive work environment 🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work 📚 Access to learning opportunities and regular feedback sessions 🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups 🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks 💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are 🧰 Benefit from additional country-specific advantages based on local contracts and practices   WHO WE ARE 💜  We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.   TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯 Progress Over Perfection : We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. Clarity Through Transparency : We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. Learn Loudly : We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. Challenge with Empathy : We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found  here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

Leonardo · Roma - Via Laurentina, Italy

Job Description: Leonardo SpA è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. P rotagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’Area di Business Cyber & Security Solutions , stiamo ricercando un/a Data Engineer da inserire in una delle nostre sedi di Roma Laurentina, Genova Fiumara, Chieti Scalo e Firenze Campi Bisenzio. La persona si occuperà delle seguenti attività: Progettare le architetture per la gestione del dato Progettare e realizzare le pipeline MLOPS Progettare e realizzare agenti AI per il supporto alle decisioni in ambito cyber Titolo di studio: Laurea Magistrale in Ingegneria Informatica Seniority: Expert: richiesta esperienza di 3-5 anni. Conoscenze e competenze tecniche e informatiche: Conoscenza della suite Apache per la gestione dei dati Conoscenza delle architetture cloud per i dati sia private che pubbliche Conoscenza dei sistemi di virtualizzazione e contenerizzazione Conoscenza dei concetti e dei sistemi MLOPS Conoscenze evolute nell'addestramento e deploy di sistemi di AI Competenze comportamentali: Flessibilità e proattività; Capacità di Public Speaking; Problem solving e gestione di complessità; Team working e stakeholder management; Conoscenze linguistiche: Richiesta la conoscenza fluente della lingua inglese. Altro Disponibilità a trasferte di breve durata; Certificazioni project management (PMP, Agile/Scrum) sono titoli preferenziali; Certificazioni in ambito system engineering o solution architect sono titoli preferenziali; Background tecnico in cyber security è preferito; Certificazioni in cybersecurity (Security+) sono un plus; La conoscenza dei prodotti aziendali è un plus. Coinvolgimento, valorizzazione delle competenze , cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità . Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida; Categoria contrattuale: Impiegato; Tipologia contrattuale: tempo indeterminato; Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Mensa aziendale; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente. Aspettiamo la tua candidatura : inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Expert Primary Location: IT - Roma - Via Laurentina Additional Locations: IT - Chieti Scalo, IT - Firenze - Campi Bisenzio, IT - Genova - Fiumara Contract Type: Permanent Total Base Pay Range: 36k-59k Hybrid Working: Hybrid

Leonardo · Bristol - Coldharbour Lane, United Kingdom

Job Description: Salary Range: £53,269 - £68,000 Leonardo operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact At Leonardo, our Data Engineers lead the design and delivery of secure, scalable data solutions that underpin critical defence, government, and commercial operations. As a technical authority and people manager, you’ll guide engineering teams through the full data lifecycle—transforming raw data into actionable insight across hybrid and cloud environments. This role blends technical leadership, stakeholder engagement, and team development, offering the opportunity to shape data strategy and capability across multiple programmes. Your work at Leonardo will see you take the lead in solving customer problems in an agile, innovative and team-centric manner. The role may involve a blended hybrid working model, with a mixture of working from home and working on site at one of our Leonardo offices to ensure close collaboration with the wider team and with our customers. What you will do as a Data Engineer Provide technical leadership and oversight for data engineering delivery within your team Lead the design, implementation and maintenance of end-to-end data solutions: acquisition, integration, storage, processing, and analysis Implement scalable data solutions using big data architectures and workflow management systems Guide the development of tools for data-driven insights and task automation Continuously test and monitor systems to improve performance and reliability Research and adopt emerging technologies Work with cloud platforms and diverse operating systems Support development and deployment of machine learning models Collaborate with DevOps Engineers, Data Scientists, Analysts and Cyber Consultants Mentor and coach junior data engineers to build team capability, while managing project tasks across your own and their workloads. Support technology assessments, feasibility studies, and roadmap development Engage with stakeholders and customers, presenting and defending technical solutions Manage a small team of direct reports, providing guidance, mentorship and support for their career development Support the effective operation of the wider team through utilisation tracking, chairing team meetings and resource management What you’ll bring Demonstrated leadership in data engineering, with experience managing and mentoring others. Ability to take ownership of engineering delivery and drive team performance. Strong communication and stakeholder engagement skills. A proactive mindset with a commitment to continuous learning and capability development. Proven ability to work across disciplines and collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making. Core Areas (must have): Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! #LI-CYBER Primary Location: GB - Bristol - Coldharbour Lane Contract Type: Permanent Hybrid Working: Hybrid

Leonardo · Genova - Fiumara, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’ Area Cyber & Security Solutions , stiamo ricercando un/a Software Engineer per servizi dati, cloud e ML per la nostra sede di Genova / Roma Laurentina. Di seguito l’elenco delle principali attività previste per il ruolo: Sviluppare microservizi per data ingestion, transformation, API exposure e processing Implementare servizi per batch e streaming data processing con integration tra i due paradigmi Sviluppare API RESTful, GraphQL e gRPC per data access e analytics query execution Implementare servizi per cloud infrastructure management (compute, storage, networking) Sviluppare servizi per orchestration e provisioning di risorse cloud Implementare servizi per security posture monitoring e compliance checking Sviluppare componenti per cost tracking, resource optimization e billing Implementare servizi per ML lifecycle management (training, evaluation, deployment, monitoring) Sviluppare servizi per model registry, versioning e metadata tracking Sviluppare API per model serving e inference con support per batch e real-time predictions Implementare servizi per feature store management e feature engineering pipelines Implementare servizi per metadata management e data catalog integration Sviluppare componenti per data quality validation e monitoring Integrare con data lakehouse per unified batch-streaming storage Integrare con cloud providers APIs (OpenStack, AWS, Azure) per multi-cloud scenarios Implementare servizi per disaster recovery automation e backup orchestration Sviluppare Kubernetes operators per custom resource management Implementare caching strategies e query optimization per performance Sviluppare servizi per data lineage tracking e impact analysis Implementare servizi per model monitoring (drift detection, performance tracking, data quality) Sviluppare servizi per automated retraining pipelines e continuous learning Garantire scalabilità, reliability e security per data services, cloud services e ML workloads Implementare pattern per fault tolerance, retry mechanisms e error handling Implementare testing automation e CI/CD pipelines per cloud services, data services e ML pipelines Mantenere elevati standard di qualità del codice attraverso testing e code review Collaborare con data engineers, infrastructure team, data scientists e ML engineers per implementazione end-to-end Titolo di studio Laurea in Ingegneria Informatica, Informatica o equivalente. Seniority Expert (da 2 a 5 anni di esperienza nel ruolo, o più di 5 anni di esperienza in ruoli analoghi) Conoscenze e competenze tecniche Sviluppo backend con linguaggi enterprise (Java, Python, Scala, Go) per data platforms, cloud platforms e ML platforms Data processing con framework moderni (Apache Spark, Apache Flink) Architetture event-driven per data streaming e real-time processing Cloud platforms APIs (OpenStack, AWS/Azure SDKs) e resource management Kubernetes e container orchestration con operators pattern Infrastructure as Code (Terraform, Pulumi) e automation Microservizi cloud-native con service mesh integration MLOps practices per model lifecycle automation Model serving frameworks (TensorFlow Serving, TorchServe, Triton Inference Server) ML orchestration tools (Kubeflow, MLflow) e experiment tracking Feature stores (Feast, Tecton) e feature engineering pipelines Sviluppo di API (RESTful, GraphQL, gRPC) per data services, infrastructure services e ML services Database relazionali e NoSQL ottimizzati per analytics (columnar, document, wide-column) Data lakehouse integration (Delta Lake, Apache Iceberg) con ACID semantics Security automation (policy enforcement, compliance scanning, secrets management) Caching distribuito (Redis, Memcached) per performance optimization API design per infrastructure services e ML services con versioning e backward compatibility Competenze comportamentali Autonomia nella gestione di task complessi multi-componente Buone capacità comunicative e problem solving analitico Orientamento alla qualità del codice, data quality, automazione, infrastructure as code, performance e scalability Security mindset per cloud environments Collaborazione efficace in team cross-funzionali (backend, data engineering, analytics, infrastructure, ML) Proattività nel knowledge sharing e continuous improvement Conoscenze linguistiche Italiano madrelingua, Inglese professionale (B2) Competenze informatiche Linguaggi backend (Java, Python, Scala, Go) e framework (Spring Boot, FastAPI) Apache Spark (PySpark, Scala) per distributed data processing Apache Flink for stream processing (DataStream API, Table API) Event streaming (Apache Kafka) e message brokers Cloud platforms (OpenStack, integration con AWS/Azure) Kubernetes avanzato (operators, CRDs, admission controllers, GPU support con NVIDIA GPU Operator) Infrastructure as Code (Terraform, Ansible, Pulumi) ML frameworks (TensorFlow, PyTorch) e model formats (ONNX, SavedModel) Model serving (TensorFlow Serving, TorchServe, Triton) MLOps tools (Kubeflow, MLflow, DVC) Feature stores (Feast) e data versioning Containerizzazione (Docker) e deployment su Kubernetes Database relazionali (PostgreSQL), NoSQL (MongoDB, Cassandra), columnar (ClickHouse), time-series (TimescaleDB) Data lakehouse platforms (Delta Lake, Apache Iceberg) Cache distribuito (Redis) e query optimization Security tools (Vault, OPA, Falco) per cloud security API design e versioning strategies Pipeline CI/CD e monitoring (Prometheus, Grafana) per data applications, cloud services e ML systems Altro Disponibilità a brevi trasferte su territorio nazionale Esperienza con big data processing su larga scala, progetti cloud infrastructure, progetti ML/AI è un plus Certificazioni data engineering (Databricks, Snowflake), cloud (AWS/Azure, OpenStack, Kubernetes), streaming (Confluent Certified Developer for Apache Kafka, Flink) sono titoli preferenziali Conoscenza di data warehousing, OLAP, data modeling, analytics, ML algorithms, data science è un plus Background in progetti data-intensive, system administration, SRE, distributed systems o high-performance computing è un plus Disponibilità a ottenere clearance di sicurezza Seniority: Expert Primary Location: IT - Genova - Fiumara Additional Locations: IT - Roma - Via Laurentina Contract Type: Permanent Total Base Pay Range: 36k-50k Hybrid Working: Hybrid

Leonardo · Edinburgh, United Kingdom

Job Description: Salary Range: Senior Engineer £45000 - £60000 Principal Engineer £54000 - £70000 Where this vacancy is being recruited across more than one grade, the successful candidate will be appointed to a specific assessed grade, and the applicable salary range will be that associated with the grade of appointment. Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your impact As a Platform Engineer you will help shape, build and operate the infrastructure and services that underpin our engineering platform, from requirements and design through to deployment, support and continuous improvement. Take ownership of core development tools and infrastructure, including compute, container platforms, application hosting and quality assurance systems. You will provide technical guidance, improve reliability and help engineering teams adopt consistent best practices. Using technologies such as cloud platforms, container orchestration, infrastructure as code and automation, you will help deliver secure, scalable and resilient services. You will also investigate complex technical issues, improve observability and reduce operational risk and manual effort. We are a multidisciplinary team looking for candidates with a broad mix of skills and experience. You do not need to meet every requirement. What matters most is sound engineering judgement, adaptability and the ability to make a meaningful contribution. Join us on this unique opportunity to be part of a new and innovative team that will shape the future of engineering development within Leonardo. What you’ll bring We need someone who has experience in a similar role and can bring their knowledge and expertise into the team. We're ideally looking for experience in: Linux, application and server administration Cloud platforms, virtualisation and containers Infrastructure as code and configuration management Programming and scripting, such as Python, Bash or Go Monitoring, observability and SRE practices Infrastructure, networking and performance troubleshooting Secure, resilient and scalable system design Technical documentation and operational guidance Technical leadership and mentoring Beneficial skills include: Strong problem-solving and engineering judgement Experience supporting business-critical platforms Familiarity with CI/CD and software delivery lifecycles Effective communication and stakeholder engagement Curiosity and a drive for continuous improvement This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks : Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours are available. Due to the nature of this role, full-time, on-site working is required . For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Edinburgh Contract Type: Permanent Hybrid Working: Hybrid

Leonardo · Genova - Fiumara, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’Area di Business Cyber & Security Solutions stiamo ricercando una figura di Project Engineer Manager per la sede di Genova Fiumara con possibilità di assunzione anche sulle sedi di Roma Laurentina e Torino . La risorsa sarà inserita nella Line of Business (LoB) Defence & Government Business che ha la mission di gestire il business divisionale con riferimento a Clienti afferenti a Pubblica Amministrazione (centrale e locale) e organismi di Difesa. In particolare, verrà inserita nella Business Area "International Defence & Joint Ventures” per la gestione di programmi internazionali digitali e Cyber di Leonardo tra cui il GCAP (Global Combat Air Program) in collaborazione con primari partner esteri. La persona che individueremo si occuperà di: Coordinare team impegnati nella realizzazione di progetti informatici (incluse infrastrutture classificate) a supporto dei programmi della Difesa in ambito Data Center, Cloud, Cyber security e reti di telecomunicazione; Relazionarsi con risorse interne e fornitori, supportando il Project Manager durante tutta la durata del progetto; Gestire con referenti di progetto (divisioni di Leonardo, strutture Leonardo di coordinamento di programma, Joint Venture, Ministeri della Difesa) incontri di programma; Contribuire alla realizzazione di documentazione tecnica es: SOW (Statement Of Work), HLD (High Level Design), LLD (Low Level Design), Progettazione Esecutiva e As Built, Norme di Collaudo (NVCA); Verificare l'effettiva qualità, la conformità e l'erogazione dei contenuti tecnici e dei deliverable; Analizzare scenari operativi, collaborare alla definizione di proposte tecniche, valutazioni economiche, stesura delle offerte tecniche e stima dei costi delle soluzioni proposte; Titolo di studio: Lauree STEM, preferibilmente di indirizzo informatico. Seniority: Expert. Richiesta +3 anni di esperienza di lavoro in contesti similari. L'esperienza nel settore Aerospace & Defense o su progetti ad alto requisito di sicurezza (sistemi classificati) costituisce un fattore preferenziale. Competenze e conoscenze tecniche ed informatiche: Conoscenza dei contesti Data Center e sale operative per l’erogazione e l’accesso di servizi in Cloud o Cloud privato; Esperienza nella gestione di informazioni riservate e classificate per erogazione di servizi di collaborazione, scambio documentale sicuro, accesso a SW tecnici di Ingegneria; Conoscenza di servizi di monitoraggio, IT Service Management e Cyber Security, Soluzioni di sicurezza dei dati avanzate; Esperienza tecnica sulle soluzioni di Data center e tecnologie correlate (switching, routing, load balancing, traffic shaping), Network Security (NGFW, IPS/IDS, etc) e Cyber Security (SIEM, SOAR, IAM, Anti-virus); Conoscenze dei principali paradigmi architetturali (es. Client-Server, Web Application, micro-servizi, etc); Esperienza su almeno una piattaforma Cloud (AWS, Microsoft Azure, etc); Conoscenza delle principali tematiche di Information Assurance (Comsec, Infosec, etc), livelli di Tempest (Facility /Equipment). Conoscenze linguistiche: Conoscenza della lingua inglese tecnica di livello B2 o superiore. Competenze comportamentali: Capacità di gestire progetti complessi; Capacità di comunicazione e di relazione con il Cliente (interno ed esterno); Capacità organizzative e di coordinamento, con particolare riferimento alle risorse interne, i Fornitori ed i Partner di programma/progetto; Spiccata attitudine al Team Leading; Capacità di negoziazione; Responsabilità e affidabilità rispetto agli impegni assunti; Attitudine alla programmazione del proprio lavoro e del lavoro del Team di progetto; Capacità di lavorare in contesti dinamici con complessità multiple e con diversi stakeholder. Altro: Disponibilità a trasferte internazionali di breve - medio termine; Gradita Esperienza nella gestione di progetti in consorzio con partner esteri e/o in progetti che includono l’accreditamento di soluzioni per la gestione di informazioni classificate a standard Nazionali e/o Internazionali e/o nel settore Difesa con particolare riferimento a sistemi Aeronautici e Mezzi Terrestri. Coinvolgimento, valorizzazione delle competenze , cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità . Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida; Categoria contrattuale: Impiegato; Tipologia contrattuale: tempo indeterminato; Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Mensa aziendale; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente. Aspettiamo la tua candidatura : inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Expert Primary Location: IT - Genova - Fiumara Additional Locations: IT - Roma - Via Laurentina, IT - Torino - C.so Marche Contract Type: Permanent Total Base Pay Range: 42K - 59K Hybrid Working: Hybrid

Leonardo · Luton - Cap. Green 300, United Kingdom

Job Description: Your Impact As a Principal Software Engineer (DevSecOps), you will play a key role in accelerating the delivery of secure, high-quality software across Leonardo's defence and security programmes. You will help shape and evolve our enterprise DevSecOps capability, enabling teams to deliver features and updates rapidly, reliably and securely. Working within our software engineering community, you will champion modern engineering practices, drive automation, and embed security throughout the software development lifecycle. Through your technical leadership and mentoring, you will help build a collaborative DevSecOps culture focused on innovation, continuous improvement and operational excellence. What You'll Do Contribute to the delivery and evolution of Leonardo's enterprise-wide DevSecOps platform. Support and mentor teams adopting DevSecOps practices, tools and ways of working. Contribute to the planning and implementation of DevSecOps capabilities across cloud, on-premises and hybrid environments. Design, deploy and maintain development, test and operational environments. Drive automation across software delivery and infrastructure provisioning to improve quality, consistency and efficiency. Develop and maintain automation frameworks, CI/CD pipelines and deployment processes. Apply effective change, configuration and release management practices. Support deployed services, ensuring high levels of performance, security and availability. Collaborate with engineers, platform teams and stakeholders to improve delivery capability and engineering practices. Champion secure-by-design principles across the software development lifecycle. What You'll Bring You will have a degree in Computer Science, Software Engineering, Systems Engineering, or a related discipline, together with experience delivering software solutions within a complex engineering environment. We are looking for candidates who can demonstrate: Experience designing, building and operating secure-by-design environments. Hands-on experience with Continuous Integration and Continuous Delivery (CI/CD) practices and tooling. Knowledge of cloud, on-premises and hybrid environments, including associated security considerations. Experience with enterprise DevOps and DevSecOps tools supporting modern software delivery. A background in software engineering, platform engineering, IT operations or a related discipline. Experience with requirements management, configuration management and version control tools. Knowledge of infrastructure-as-code, automation and deployment technologies. Experience working within Agile development environments. Strong communication skills with the ability to mentor and influence technical teams. A passion for automation, continuous improvement and engineering excellence. For a full list of our company benefits please visit our website. Security Clearance This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Be part of something bigger - apply now! Primary Location: GB - Luton - Cap. Green 300 Additional Locations: GB - Basildon, GB - Edinburgh, GB - Lincoln, GB - Newcastle, GB - Southampton Contract Type: Permanent Hybrid Working: Hybrid

STMicroelectronics · Shanghai, CN

在意法半导体，我们坚信科技的力量能够推动创新，为人们、企业和社会带来积极的影响。作为一家全球半导体公司，我们的先进技术和芯片构成了我们今天所生活世界的隐形基础。 当您加入ST时，您将成为一个拥有超过115个国籍、遍布40个国家的全球企业的一部分，拥有超过50,000名来自世界各地的多元化和敬业的科技创新者和制造者。 开发技术不仅需要才华，更需要那些懂得合作与尊重的优秀人才。我们寻找那些充满热情、勇于打破常规、推动创新并释放自身潜力的人。 与我们一起踏上旅程，在负责任和可持续的方式中创新，创造一个我们渴望变得更智能、更绿色的未来。我们的技术始于您。 JR 12309 - Sales manager for Optical communication and Cloud infrastructure Job description * Responsible for top Cloud Service Providers (CSP) partnership development. * Focus on 1st tier optical chip design house business development. * Drive various key programs/project in key customer and bring to mass production * Introduce ST product portfolio to customers locally * Provide the regular report of customer business status for operation review Requirements * Familiar with CSPs and 1st tier optical chip design houses. * Good team worker; Self-initiative and disciplinary character * Cloud segment or Optical chip experience is preferred. * Bachelor or above degree * Min working 3 years experiences in multi-national area * Willing to work under pressure * English can be used as a working language for communication. 意法半导体跻身2025年全球顶级雇主认证的17家公司之一，并且是唯一一家获得此殊荣的半导体公司。意法半导体因其持续改进的方法而在此排名中获得认可，尤其在道德诚信、目标价值、组织变革、业务战略和绩效等方面表现突出。 在意法半导体，我们致力于营造一个多元化和包容性的工作环境，绝不容忍任何形式的歧视。我们努力招聘和留住反映社会多样性的员工，并在职业发展、机会和薪酬方面追求公平。我们鼓励那些可能不完全符合所有要求的候选人申请，因为我们欣赏不同的观点，并提供成长和学习的机会。多样性、公平和包容（DEI）已深植于我们的企业文化。 欲了解更多信息，请访问 st.com/careers。

Docebo · Biassono, Italy

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 Senior Cloud Engineer II is responsible for managing and improving the cloud infrastructure that supports Docebo’s applications. This role focuses on maintaining a highly available, scalable, and secure infrastructure using modern approaches, such as DevOps and Platform Engineering. The engineer will work closely with development and engineering teams to release new services, implement automation, and evolve the infrastructure to meet market standards. The role involves leading infrastructure projects and optimizing cloud systems in alignment with business objectives. Primary responsibilities, including but not limited to: The responsibilities listed in this section are representative and not exhaustive. Additional duties may be assigned as needed. - Manage and develop the cloud infrastructure to ensure high availability and reliability. - Improve the security standards of Docebo’s cloud infrastructure, ensuring compliance with industry best practices. - Implement automation solutions to enable infrastructure scalability and reduce manual processes. - Lead and contribute to infrastructure projects, ensuring timely delivery and alignment with business goals. - Collaborate with development and engineering teams to support new service releases and ensure smooth integration with the cloud environment. - Monitor system performance using tools like Datadog to ensure infrastructure stability and provide actionable insights. - Debug and troubleshoot issues within the cloud environment to maintain optimal system health. - Stay updated on market trends and evolve the infrastructure to remain current with best practices.   What it takes to be successful: To be successful as a Senior Cloud Engineer II, you should have strong problem-solving skills, attention to detail, and a proactive approach to improving infrastructure performance. The ability to collaborate with cross-functional teams, especially development and engineering, is critical. A background in cloud services, automation, and infrastructure management is essential. A Bachelor’s degree in Computer Science or a related field can lay the groundwork for success in this role.   Education and Experience: - Advanced experience with Infrastructure as Code technologies for managing complex infrastructure. - Strong expertise in AWS cloud services. - Experience with Docker and Linux-based systems. - Proven experience with Kubernetes (K8S) or Amazon Elastic Kubernetes Service (EKS). - Familiarity with monitoring tools such as Datadog. - Proven experience with Git and GitLab for automations and code management. - Familiarity with DevOps methodologies. - Experience with scripting languages like Python, Bash, or Go (preferred). 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! - Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized. - 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.

Leonardo · Genova - Fiumara, Italy

Job Description: Leonardo SpA è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’ Area Digital Applications & Solutions della Divisione Cyber & Security Solutions, stiamo cercando un/a Business Analyst per la nostra sede di Roma Laurentina o Genova Fiumara. L'unità ha la necessità di rafforzare le competenze nell’ambito delle architetture IT e cloud scalabili e sicure, del networking e delle architetture applicative, finalizzate al raggiungimento dei seguenti obiettivi: comprendere e valutare le soluzioni tecnologiche più idonee nei diversi contesti progettuali, contribuire alla definizione di architetture digitali e cyber integrate e supportare la progettazione di soluzioni tecniche coerenti con gli standard e le best practice aziendali. La persona si occuperà delle seguenti attività: Analizzare applicazioni e infrastrutture da migrare verso ambienti cloud; Supportare la definizione delle architetture target; Collaborare con i team infrastrutturali e applicativi durante le attività di migrazione; Coordinare le attività tecniche con cliente e fornitori. Supportare la risoluzione delle problematiche tecniche durante la delivery; Supervisionare la delivery e supportare i team di sviluppo/operations. Titolo di studio: Laurea in discipline STEM o esperienza equivalente, preferibilmente in ambito informatico. Seniority Esperienza di almeno 3-5 anni in progetti di infrastrutture IT, cloud o migrazione applicativa. È gradita esperienza in progetti di trasformazione Cloud. Conoscenze e competenze tecniche: Conoscenza di architetture IT e Cloud scalabili, sicure e ad alta disponibilità; Conoscenze in ambito networking; Conoscenza di architetture applicative; Capacità di produrre documentazione tecnica e schemi architetturali. Conoscenze linguistiche: Si richiede la conoscenza della lingua inglese scritta e parlata, almeno livello B2. Conoscenze Informatiche: Conoscenza delle seguenti tecnologie di riferimento: Esperienza su almeno uno tra Azure, AWS o GCP ed infrastrutture IaaS/PaaS/SaaS. Esperienza in migrazioni Cloud (Lift&Shift e Replatform). Networking e Security: DNS, VPN, routing, firewall, segmentazione, WAF; Esperienza nella gestione di connettività tra ambienti on-premise e cloud Sistemi e infrastrutture: Linux/Windows, virtualizzazione, backup. Conoscenza delle principali architetture applicative (web, client/server, microservizi) e delle problematiche di migrazione verso ambienti cloud. Gradita conoscenza dei principi di Cloud FinOps Competenze comportamentali: Capacità di coordinamento tecnico Naturale disponibilità ad assumersi responsabilità di iniziative o gruppi di lavoro; Attitudine all’autoformazione Capacità di relazione con Clienti finali. Altro Disponibilità a trasferte su territorio nazionale; Gradito il possesso di certificazioni Cloud (AWS/Azure/GCP Architect); Gradite certificazioni in ambito Project Management (PMI, Prince2, ITIL) Coinvolgimento, valorizzazione delle competenze, cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità. Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida Categoria contrattuale: Impiegato Tipologia contrattuale: tempo indeterminato/ determinato/ somministrazione (con eventuale durata); Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente . Aspettiamo la tua candidatura: inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Senior Primary Location: IT - Genova - Fiumara Contract Type: Permanent Total Base Pay Range: 36K - 59K Hybrid Working: Hybrid

Leonardo · Milano - Nerviano, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’Area di Business Cyber & Security Solutions , stiamo ricercando un/a Security Architect per la nostra sede di Milano Nerviano , con possibilità di assunzione sulle sedi di Roma Laurentina, Genova Fiumara e Chieti Scalo . La persona si occuperà delle seguenti attività: Progettare, implementare e gestire soluzioni di pubblicazione sicura di Web Application, API, portali internet/intranet e servizi esposti verso terze parti tramite soluzioni WAF enterprise in ambienti on-prem, IaaS e Cloud; Configurare e amministrare piattaforme Web Application Firewall (WAF), Reverse Proxy, ADC / Load Balancer, Secure Gateway; Eseguire tuning avanzato di regole, signature, custom rules, exception handling e policy dedicate per URL, host, API e applicazioni business critical; Attivare e governare le principali feature di sicurezza necessarie, incluse protezioni OWASP Top 10, bot mitigation, DDoS mitigation, rate limiting, API security, TLS/SSL hardening, geo/blocking, reputation controls e logging avanzato; Integrare le piattaforme WAF con SIEM e strumenti di monitoring; Collaborare con i team engineering, DevOps, network, cloud e application owner per introdurre controlli di sicurezza nel ciclo di delivery e nella pubblicazione dei servizi; Contribuire all’automazione tramite scripting e Infrastructure as Code per deployment standardizzati, ripetibili e scalabili; Supportare progetti di migrazione e integrazione in ambienti Private Cloud, Public Cloud, Hybrid Cloud, Kubernetes / Container; Definire standard, baseline, runbook e linee guida operative per la protezione di applicazioni esposte verso Internet. Titolo di studio: Laurea Magistrale in Informatica/Ingegneria Informatica/Ingegneria delle Telecomunicazioni o STEM (valutabili anche percorsi alternativi con esperienza comprovata). Seniority: Senior: richiesti almeno 5 anni di esperienza. Conoscenze e competenze tecniche: Requisiti Essenziali: Esperienza consolidata su almeno una o più tecnologie WAF/CDN/edge security, ad esempio Cloudflare, AWS WAF, Akamai, Imperva, F5, FortiWeb, Forti ADC o equivalenti; Competenza pratica nella pubblicazione sicura di applicazioni web e portali in ambienti IaaS e Cloud; Ottima conoscenza di protocolli e architetture web/network: HTTP/S, TLS, DNS, TCP/IP, reverse proxy, load balancing, CDN, API gateway; Conoscenza approfondita di OWASP Top 10, vulnerabilità web e API, tecniche di attacco e relative contromisure, incluse XSS, CSRF, SQL injection, XML/SOAP abuse, DoS e attacchi API; Esperienza nel tuning di regole WAF, gestione eccezioni, regular expressions, custom signatures e validazione degli impatti applicativi. Requisiti Preferenziali: Esperienza di integrazione con SIEM, dashboarding, alerting e use case di monitoring per la visibilità sugli attacchi web; Buona conoscenza di sistemi Linux/Unix, Windows, VMware vCloud vSphere e capacità di operare in contesti enterprise multi-vendor; Buone competenze relative alle best practive di Network Security; Conoscenza dei principali protocolli di comunicazione, della Network segmentation e della Zero Trust architecture; Capacità di interazione tecnica e operativa su tematiche relative a SIEM e log analytics, IAM / PAM, IDS/IPS, firewall di rete e proxy, EDR/XDR e controlli endpoint. Competenze comportamentali: Capacità di analisi e troubleshooting di sistemi complessi; Attitudine alla documentazione e alla condivisione della conoscenza; Spirito di iniziativa, autonomia operativa e senso di responsabilità; Capacità di lavorare in team interfunzionali; Propensione all’apprendimento continuo e aggiornamento tecnico. Competenze linguistiche: Buona conoscenza della lingua inglese scritta e parlata, livello B2. Altro: Disponibilità a trasferte nazionali e internazionali. Coinvolgimento, valorizzazione delle competenze , cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità . Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida; Categoria contrattuale: Impiegato; Tipologia contrattuale: tempo indeterminato; Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Mensa aziendale; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente. Aspettiamo la tua candidatura : inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Senior Primary Location: IT - Milano - Nerviano Additional Locations: IT - Chieti Scalo, IT - Genova - Fiumara, IT - Roma - Via Laurentina Contract Type: Permanent Total Base Pay Range: 40K - 59K Hybrid Working: Hybrid