Questa posizione è in Leonardo

Il processo di selezione sarà interamente gestito Leonardo.

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

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# 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

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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

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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

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📌 CYS_Software Engineer_TP... (Genova)
🏢 Leonardo
📍 Genova