Arduino · Turin, IT

## Company: Qualcomm Europe, Inc. Italy Branch Office ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: * Job Description Arduino is now part of the Qualcomm organisation! Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more. We are now looking for a talented Senior Frontend Developer to enhance the Arduino applications ecosystem. We believe in hiring collaborative smart people who are excited to push boundaries. You will join an inclusive team of technology specialists passionate about software development and collaborating in the design and development of scalable, advanced web, cloud and software solutions. What we offer * A challenging career path in a rapidly growing company with modern vision and talented teams. * A competitive salary (and benefits) that values people skills and experience. * Possibility to participate to the company value with the Employee Stock Option Plan * A young and inspiring work environment that encourages diversity and cultural exchange. * Individual growth objectives with a dedicated budget for learning/training. * Flexible working hours and working locations, we value work-life balance! * A work opportunity in a mission-driven company committed to empower people around the world. And if you live near one of our offices… * Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!). * Seasonal celebrations, happy hours and everyday drinks and snacks at the office. * Sunny rooftop lunch breaks and hamacas for relaxation and concentration. * Additional Job Description Additional Job Description What you'll work on You will be part of a team of talented engineers in charge of developing cloud and web applications ranging between educational context to makers and professional business. As part of this job you will be in charge of: * Contribute to all stages of the product development and deployment lifecycle, building and maintaining React web applications using state-of-the-art technologies * Collaborate with Software Architects and UI/UX specialists to define technical solutions and improving User Experience across all the Arduino applications * Deliver value through a strong collaborative approach working in a cross-functional team, contributing finding creative solutions to enhance Arduino applications and tools. What you bring * BS/MS in Computer Science or other technical related fields * 5+ years of software development work experience. * 3+ years of frontend development experience * Strong experience with React * Good understanding of security and performance optimization concepts * Fluent in English * Great teamwork and positive attitude * Proactivity and continuous learning mindset Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. * Bonus Points * Experience in the IoT field or with IoT protocols * Experience with Typescript and the related tooling ecosystem * Experience with React Native * Experience working with design teams and specifications on Figma * Familiarity with npm package bundling/releasing * Deep knowledge of developer and debugging tools * Knowledge of Arduino or similar electronics If you're excited about this role or about our company but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyways. If we feel *References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. Pay range and Other Compensation & Benefits: €44,400.00 - €66,000.00 annual (Gross) The above pay range reflects the broad, minimum to maximum, pay range for this job code for the location for which it has been posted. This range includes two additional months of pay as part of the annual salary. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.

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 · 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 · 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. 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 DevSecOps Engineer per gestione infrastruttura e CI/CD per la nostra sede di Genova / Roma Laurentina. La persona si occuperà delle seguenti attività: la risorsa sarà responsabile della progettazione, implementazione e gestione di pipeline CI/CD sicure e automatizzate su un portfolio multi-prodotto, operando in stretta collaborazione con CTO, Product Manager, PEM e team di sviluppo. Il perimetro di azione copre l’intero ciclo di vita del software: dal branching governance al rilascio controllato in produzione, dall’integrazione dei controlli di sicurezza automatizzati al monitoraggio continuo della postura di sicurezza dei prodotti. In particolare, si occuperà di: Progettare, implementare e mantenere pipeline CI/CD su un portfolio di circa 20+ prodotti, garantendo automazione, ripetibilità e tracciabilità end-to-end dei rilasci, dalla build alla promozione in produzione. Definire e governare le strategie di branching (GitFlow, trunk-based development, release branching) sull’intero portfolio di prodotti, garantendo coerenza nelle policy di merge request, tagging semantico (SemVer) e promozione delle versioni attraverso gli ambienti di integrazione, test e produzione. Mantenere la mappatura aggiornata delle versioni di prodotto e di soluzione, tracciando per ogni release la versione puntuale di tutti i sotto-moduli, librerie, dipendenze e tool di build, in modo che ogni deliverable sia ricostruibile e verificabile a partire da un insieme ben definito e documentato di componenti. Integrare controlli di sicurezza automatizzati nelle pipeline (SAST, DAST, SCA, container scanning, secret detection), assicurando che ogni artefatto sia analizzato e validato prima di ogni promozione ambientale. Pianificare ed eseguire sessioni sistematiche di vulnerability assessment sul software di prodotto: avvalendosi di Dependency-Track o simili, per il monitoraggio continuo delle vulnerabilità nelle dipendenze (CVE tracking, SBOM analysis, policy violation enforcement), coordinando la prioritizzazione dei finding per CVSS score con i team di sviluppo e garantendo la tracciabilità di ogni finding dal rilevamento alla chiusura. Implementare e mantenere dashboard di monitoraggio continuo della postura di sicurezza dei prodotti (vulnerability density, trending CVE, compliance rate, SLA di remediation), definendo soglie di alert e procedure di escalation verso Product Management. Gestire e presidiare la toolchain DevSecOps condivisa (GitLab CI, SonarQube, Dependency-Track, Nexus, Trivy, Greenbone/GVM), garantendone disponibilità, aggiornamento e corretta integrazione con i repository sorgente. Supportare i team di sviluppo nell’adozione strutturata delle pratiche DevSecOps, fornendo linee guida, template di pipeline riusabili, policy di branching e sessioni di formazione tecnica mirata. Implementare e mantenere meccanismi di gestione sicura dei secret e delle credenziali (Vault, OpenBao o equivalenti), garantendo che nessuna credenziale sia esposta in repository o log di pipeline. Gestire e automatizzare la generazione di SBOM (Software Bill of Materials) per ogni rilascio di prodotto, in supporto alla compliance CRA EU 2024/2847 e ai requisiti contrattuali applicabili. Monitorare le metriche di qualità e sicurezza delle pipeline (copertura dei test, vulnerability density, build success rate, DORA metrics), producendo report di sintesi per CTO e Product Management. Collaborare con le funzioni aziendali per l’integrazione di gate di quality assurance nelle pipeline, garantendo che i criteri di accettazione siano verificati automaticamente prima di ogni release. Gestire l’infrastruttura della piattaforma DevSecOps on-premise in ottica Infrastructure as Code (Ansible/AWX, OpenTofu/Terraform), curando configurazioni, RBAC, backup e ciclo di aggiornamento. Contribuire alla definizione e all’evoluzione del framework DevSecOps aziendale, allineando le pratiche agli standard di riferimento (OWASP DSOMM, OWASP SAMM, CRA EU 2024/2847) e promuovendo il miglioramento continuo della maturità del processo. Titolo di studio : Informatica, Ingegneria Informatica o equivalente Seniority : 3–5 anni di esperienza in ambito DevSecOps, Software Engineering o Platform/Infrastructure Engineering Conoscenze e competenze tecniche: Esperienza nella progettazione e gestione di pipeline CI/CD in ambienti multi-prodotto e multi-team, con approccio pipeline-as-code. Conoscenza delle principali strategie di branching (GitFlow, trunk-based development, release branching) e delle relative policy di merge, protezione dei branch e tagging semantico (SemVer). Esperienza nella composizione e gestione di Software Bill of Materials (SBOM) multi-livello, con tracciabilità delle versioni di tutti i sotto-moduli, librerie e dipendenze di prodotto. Conoscenza approfondita degli strumenti di analisi statica e dinamica del codice (SAST, DAST, SCA) e del loro corretto posizionamento nel ciclo di sviluppo. Capacità di condurre vulnerability assessment su dipendenze software, interpretare CVSS score (v3.1/v4.0) e prioritizzare le attività di remediation in collaborazione con funzioni PSIRT e Quality. Esperienza con tecnologie container (Docker, Kubernetes/OpenShift) e gestione di artifact repository (Nexus, Artifactory). Competenza nella gestione sicura di secret e credenziali (HashiCorp Vault, OpenBao o equivalenti). Capacità di implementare Infrastructure as Code (Ansible/AWX, OpenTofu/Terraform o equivalenti) per la gestione reproducibile degli ambienti. Familiarità con i principi di Shift-Left Security e integrazione della sicurezza nel SDLC (approccio DevSecOps maturity model). Esperienza nello sviluppo di script di automazione (Python, Bash, Groovy) per estensione e personalizzazione delle pipeline. Conoscenza di standard e framework: OWASP DevSecOps Guideline (DSOGL) / OWASP DSOMM (DevSecOps Maturity Model) CRA EU 2024/2847 – requisiti essenziali di cybersecurity per prodotti con elementi digitali (mandatorio da settembre 2026) ISO 29147 / ISO 30111 – vulnerability disclosure e handling process; FIRST.org CVSS v3.1/v4.0 OWASP SAMM o BSIMM – valutazione e miglioramento della maturità dei processi di sicurezza software Competenze comportamentali: Capacità di lavorare in team multidisciplinari, interfacciandosi con sviluppatori, quality manager, responsabili di prodotto e funzioni di compliance. Approccio strutturato, orientato all’automazione, alla riduzione del debito tecnico e all’eliminazione delle attività manuali ripetitive. Attitudine alla continuous improvement e alla condivisione proattiva della conoscenza tecnica con i team di prodotto. Capacità di tradurre requisiti di compliance e sicurezza in vincoli tecnici praticabili e integrabili nel flusso di sviluppo. Conoscenze linguistiche : inglese fluente (documentazione tecnica internazionale e standard di riferimento) Competenze informatiche: GitLab / GitLab CI – pipeline authoring, branching strategy enforcement, protected branches, merge request gates, GitLab Runners Dependency-Track – SBOM ingestion, CVE tracking, policy violation enforcement, prioritizzazione remediation per CVSS score SonarQube, Trivy, OWASP ZAP, Fortify o equivalenti – analisi SAST/DAST/container scanning Greenbone GVM / OpenVAS – vulnerability scanning infrastrutturale e monitoraggio continuo Nexus / Artifactory – artifact repository management, versioning e policy enforcement Docker, Kubernetes / OpenShift – containerizzazione e orchestrazione Ansible / AWX, OpenTofu / Terraform – Infrastructure as Code e configuration management HashiCorp Vault / OpenBao – gestione sicura di secret e credenziali Apache DevLake o strumenti equivalenti – raccolta metriche DORA e qualità di pipeline Python, Bash, Groovy – scripting e automazione Altro (es. Disponibilità a trasferte, Certificazioni specifiche…) : Disponibilità a brevi trasferte per attività di supporto on-site ai team di sviluppo, audit di sicurezza o milestone di prodotto. Certificazioni DevSecOps (es. Certified DevSecOps Professional – CDP, GitLab Certified CI/CD Specialist) costituiscono titolo preferenziale. 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 - Genova - Fiumara Contract Type: Permanent Total Base Pay Range: 36k - 59k Hybrid Working: Hybrid

Leonardo · Roma - Via Tiburtina, 965, Italy

Job Description: Closer to Space, closer to the Future: join Telespazio – Leonardo Space Division ! Leonardo is a leading global industrial group in Aerospace, Defence and Security, delivering advance multi-domain technologies across Helicopters, Aircraft, Aerostructures, Electronics, Cybersecurity, and Space. As part of the Leonardo Space Division, Telespazio a joint venture between Leonardo (67%) and Thales (33%) , is a global reference in the field of satellite solutions and services. With a workforce of over 3.500 professionals across its offices in Europe and around the world, Telespazio operates an international network of Space Centres and Teleports, offering cutting-edge solutions in Geoinformation Services, Satellite Systems and Operations, and Satellite Communications. Join us as we continue to push the boundaries of what’s possible in Space. We are looking for a motivated and skilled Satcom Software Engineer to join our engineering team. The ideal candidate holds a Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related discipline, and has at least 2–3 years of professional experience in full-stack software development. The candidate will contribute to the design, development, integration, and maintenance of software solutions for satellite communication systems, working in a multidisciplinary and international environment. Key Responsibilities - Design, develop, test, and maintain full-stack software applications for SATCOM systems. - Develop modern front-end applications - Implement scalable and high-performance back-end services. - Design and manage databases. - Collaborate with system engineers to integrate software with networking and communication infrastructures. - Develop and maintain containerized applications using Docker and orchestrate deployments with Kubernetes. - Manage source code, CI/CD pipelines, and version control using GitLab. - Produce and maintain software documentation, preferably following ECSS (European Cooperation for Space Standardization) standards. - Participate in software testing, validation, troubleshooting, and performance optimization. Required Qualifications - Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field. - 2–3 years of experience in full-stack software development. - Strong knowledge of: - React.js - Vue.js - FastAPI - InfluxDB - PostgreSQL Good understanding of computer networking principles and cyber security best practices. Experience with containerization and orchestration technologies: - Docker - Kubernetes - Experience using GitLab, including source code management and CI/CD workflows. Experience in preparing and maintaining software documentation; familiarity with ECSS standards is highly desirable. Ability to work independently while contributing effectively within a multidisciplinary team. Strong analytical and problem-solving skills. Good written and spoken English. Preferred Qualifications Knowledge of Linux-based development environments. Familiarity with Agile software development. Understanding of DevOps practices and automated deployment pipelines. Personal Skills - Self-motivated and proactive. - Strong organizational and time management skills. - Excellent communication and teamwork abilities. - Ability to work autonomously with minimal supervision. - Willingness to learn and adapt to new technologies and engineering challenges. What We Offer: Our applicable collective labor agreement is the CCNL for the Private Metalworking Industry and Plant Installation Sector . Working arrangement: Hybrid Employment category: Employee Contract type: Permanent-term 13th-month salary payment . Performance bonus linked to Business results . Welfare vouchers worth €250 per year. Meal vouchers worth €8.50, usable at the company cafeteria or for external expenses. Continuous learning and development opportunities to enhance both technical expertise and interpersonal skills. The Company reserves the right to assess the job grade and compensation package based on objective criteria identified during the recruitment process and in line with the seniority level of the selected candidate and the position itself, in compliance with the principles of fairness, transparency and equal opportunities established by applicable legislation. How Does the Recruitment Process Work? Following the collection of applications, we review and identify the candidates whose profiles best match the required qualifications and skills. Selected candidates will participate in an initial interview with the Human Resources team, focused on getting to know the candidate, as well as assessing motivation and personal competencies. This is followed by a more in-depth technical interview conducted together with the relevant Business team. At the end of the selection process, candidates receive feedback regardless of the outcome, whether positive or negative. For more information, please visit the following link: Join a Global Company Why Telespazio : At Telespazio, the well-being, safety and development of our people are at the heart of our corporate culture. We actively foster an inclusive, diverse and stimulating work environment, promoting the principles of equity and the value of diversity. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Seniority: Junior Primary Location: IT - Roma - Via Tiburtina, 965 Contract Type: Permanent Total Base Pay Range: 33.000- 42.000 € Hybrid Working: Hybrid

Leonardo · Edinburgh, United Kingdom

Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. What you’ll do Orchestrate the ingestion, processing, and storage of raw data within structured and unstructured data repositories. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable, and tested solutions to automate data ingestion. Development of systems to manage batch processing and real-time streaming of data. Evaluate business needs and objectives. Support implementation of data governance requirements. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Identify opportunities for data acquisition. Combine raw information from different sources. Manage and maintain automated tools for data quality and reliability. Explore ways to enhance data quality and reliability. Collaborate with data scientists, IT, and architects on several projects. What you’ll bring Successful Candidates will have previous experience as a data or software engineer in a similar role. Requirements include; Technical expertise in designing, building, and maintaining data pipelines, data warehouses, and leveraging data services. Proficient in DataOps methodologies and tools, including experience with continuous integration/continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design. Degree in STEM, or similar field; a master’s is a plus. Data engineering certification (e.g. IBM Certified Data Engineer) is a plus. We value skills, knowledge and experience gained through both traditional and non-traditional career paths and encourage applications from candidates who can demonstrate equivalent capability through professional experience or alternative qualifications. 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-RD1 Primary Location: GB - Edinburgh Additional Locations: GB - Newcastle Contract Type: Employee-Permanent 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