Full Stack Software Engineer
Job in
36100, Vicenza, Veneto, Italy
Listed on 2026-07-09
Listing for:
QASCOM
Full Time
position Listed on 2026-07-09
Job specializations:
-
Software Development
Cloud Engineer - Software, Backend Developer, Full Stack Developer, DevOps
Job Description & How to Apply Below
Initially, the resource will manage the maintenance and evolution of a complex distributed system for GNSS interference monitoring.
What you’ll work on Design, development, testing, and deployment of distributed systems for data collection, storage, and visualization.
System-level activities, including but not limited to requirements analysis, identification and flow-down, software design and development.
Development of technical documentation, according to the applicable standards relevant to the engineering domain (e.g., ESA/ECSS, GSWs, ETSI).Implementation and deployment of RAG systems and fine-tuned LLMs in production environments.
Maintenance of production systems with focus on availability, according to SLA.Management of system infrastructure and Dev Ops activities, including monitoring, troubleshooting, and fixing infrastructure-related issues.
What do you need Bachelor’s or Master’s degree in Computer Science Engineering is a must;
Professional experience in developing and maintaining complex applications deployed in production, ideally under SLA;
Professional experience with relational databases;
Professional experience of containerization (Docker is required, Kubernetes is a plus);
Good knowledge of web applications development and deployment;
Good knowledge of security principles;
Good knowledge of software engineering, design practices, patterns and object-oriented programming;
Proficient in .Net Core or Type Script+NodeJS;
Knowledge of Angular or React or Next;
Hands on experience with Linux;
Exposure to distributed systems, event-driven development, microservices and message brokers;
Good knowledge of written and spoken English.
Desired Knowledge & Skills
Experience with relational database (schema design, SQL language), PostgreSQL preferred;
Experience with large scale / high data volume applications;
Design and production deployment of RAG architectures and fine-tuned Large Language Models, ensuring scalable integration, performance optimization, and secure enterprise adoption;
Familiarity with Gitlab and Dev Ops activities (CI/CD, pipelines);
LLMs, RAG, fine-tuning, vector databases, prompt engineering, Python, MLOps, and AI security.
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