Questa posizione è in Leonardo

Il processo di selezione sarà interamente gestito Leonardo.

Questa occasione è disponibile in Genoa - Italy, Rome - Italy.

--

# Job Description: Leonardo is an international industrial group, among the world's leading companies in Aerospace, Defense and Security, which creates multi-domain technological capabilities in Helicopters, Aircraft, Aerostructures, Electronics, Cyber Security and Space. With over 60,000 employees worldwide, the company has a solid industrial presence in Italy, the United Kingdom, Poland, the United States, and operates in 150 countries also through controlled companies, joint ventures and shareholdings. A protagonist in the main strategic programs at a global level, it is a technological and industrial partner of Governments, Defense Administrations, Institutions and companies. Within the **Cyber & Security Solutions Area**, we are looking for a **Software Engineer** for data, cloud and ML services for our Genoa / Rome Laurentina office. Below is a list of the main activities foreseen for the role: * Develop microservices for data ingestion, transformation, API exposure and processing * Implement services for batch and streaming data processing with integration between the two paradigms * Develop RESTful, GraphQL and gRPC APIs for data access and analytics query execution * Implement services for cloud infrastructure management (compute, storage, networking) * Develop services for orchestration and provisioning of cloud resources * Implement services for security posture monitoring and compliance checking * Develop components for cost tracking, resource optimization and billing * Implement services for ML lifecycle management (training, evaluation, deployment, monitoring) * Develop services for model registry, versioning and metadata tracking * Develop APIs for model serving and inference with support for batch and real-time predictions * Implement services for feature store management and feature engineering pipelines * Implement services for metadata management and data catalog integration * Develop components for data quality validation and monitoring * Integrate with data lakehouse for unified batch-streaming storage * Integrate with cloud providers APIs (OpenStack, AWS, Azure)



for multi-cloud scenarios * Implement services for disaster recovery automation and backup orchestration * Develop Kubernetes operators for custom resource management * Implement caching strategies and query optimization for performance * Develop services for data lineage tracking and impact analysis * Implement services for model monitoring (drift detection, performance tracking, data quality) * Develop services for automated retraining pipelines and continuous learning * Ensure scalability, reliability and security for data services, cloud services and ML workloads * Implement patterns for fault tolerance, retry mechanisms and error handling * Implement testing automation and CI/CD pipelines for cloud services, data services and ML pipelines * Maintain high code quality standards through testing and code review * Collaborate with data engineers, infrastructure team, data scientists and ML engineers for end-to-end implementation ### Education Degree in Computer Engineering, Computer Science or equivalent. Seniority Expert (2 to 5 years of experience in the role, or more than 5 years of experience in similar roles) Technical knowledge and skills * Backend development with enterprise languages (Java, Python, Scala, Go) for data platforms, cloud platforms and ML platforms * Data processing with modern frameworks (Apache Spark, Apache Flink) * Event-driven architectures for data streaming and real-time processing * Cloud platforms APIs (OpenStack, AWS/Azure SDKs) and resource management * Kubernetes and container orchestration with operators pattern * Infrastructure as Code (Terraform, Pulumi) and automation * Cloud-native microservices with service mesh integration * MLOps practices for model lifecycle automation * Model serving frameworks (TensorFlow Serving, TorchServe, Triton Inference Server) * ML orchestration tools (Kubeflow, MLflow) and experiment tracking * Feature stores (Feast, Tecton) and feature engineering pipelines * API development (RESTful, GraphQL, gRPC) for data services, infrastructure services and ML services * Relational and NoSQL databases optimized for analytics (columnar, document, wide-column) * Data lakehouse integration (Delta Lake, Apache Iceberg) with ACID semantics * Security automation (policy enforcement, compliance scanning, secrets management) * Distributed caching (Redis, Memcached)



for performance optimization * API design for infrastructure services and ML services with versioning and backward compatibility Behavioral skills * Autonomy in managing complex multi-component tasks * Good communication skills and analytical problem solving * Orientation towards code quality, data quality, automation, infrastructure as code, performance and scalability * Security mindset for cloud environments * Effective collaboration in cross-functional teams (backend, data engineering, analytics, infrastructure, ML) * Proactivity in knowledge sharing and continuous improvement Language skills Native Italian, Professional English (B2) Computer skills * Backend languages (Java, Python, Scala, Go) and frameworks (Spring Boot, FastAPI) * Apache Spark (PySpark, Scala) for distributed data processing * Apache Flink for stream processing (DataStream API, Table API) * Event streaming (Apache Kafka) and message brokers * Cloud platforms (OpenStack, integration with AWS/Azure) * Advanced Kubernetes (operators, CRDs, admission controllers, GPU support with NVIDIA GPU Operator) * Infrastructure as Code (Terraform, Ansible, Pulumi) * ML frameworks (TensorFlow, PyTorch) and model formats (ONNX, SavedModel) * Model serving (TensorFlow Serving, TorchServe, Triton) * MLOps tools (Kubeflow, MLflow, DVC) * Feature stores (Feast) and data versioning * Containerization (Docker) and deployment on Kubernetes * Relational databases (PostgreSQL), NoSQL (MongoDB, Cassandra), columnar (ClickHouse), time-series (TimescaleDB) * Data lakehouse platforms (Delta Lake, Apache Iceberg) * Distributed cache (Redis) and query optimization * Security tools (Vault, OPA, Falco) for cloud security * API design and versioning strategies * CI/CD pipelines and monitoring (Prometheus, Grafana) for data applications, cloud services and ML systems ### Other * Willingness to travel nationally for short periods * Experience with large-scale big data processing, cloud infrastructure projects, ML/AI projects is a plus * Data engineering (Databricks, Snowflake), cloud (AWS/Azure, OpenStack, Kubernetes), streaming (Confluent Certified Developer for Apache Kafka, Flink) certifications are preferred qualifications * Knowledge of data warehousing, OLAP, data modeling, analytics, ML algorithms, data science is a plus * Background in data-intensive projects, system administration, SRE, distributed systems or high-performance computing is a plus * Availability to obtain security clearance **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

--

[#J-MCITY]

📌 CYS_Software Engineer_TP (Genova)
🏢 Leonardo
📍 Genova