CYS_Software Engineer_TP

Job Description:

Leonardo is an international industrial group, among the leading global players 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 subsidiaries, 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 the list of main activities envisaged 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)

Knowledge and technical 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)

IT 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

• Availability for short national business trips

• Experience with large-scale big data processing, cloud infrastructure projects, ML/AI projects is a plus

• Data engineering certifications (Databricks, Snowflake), cloud (AWS/Azure, OpenStack, Kubernetes), streaming (Confluent Certified Developer for Apache Kafka, Flink) 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

• Willingness to obtain security clearance

Seniority:

Esperto

Primary Location:

IT - Genova - Fiumara

Additional Locations:

IT - Roma - Via Laurentina

Contract Type:

Permanent

Hybrid Working:

Ibrido