Senior/Intermediate Software Developer

Myveryeasy; Cagliari; Ibrido; EUR 19.000 - 32.000; Tempo pieno

Descrizione del lavoro

TR2 SRLS in Sardinia, Italy, seeks a skilled software engineer to design robust architectures for AI-powered sensing systems. You will work across backend, data pipelines and system integration, turning research prototypes into production-grade software.

The role focuses on reliable, scalable infrastructure powering AI and sensing products, with collaboration across DevOps, data engineering and AI teams in a fast-moving environment.

Competenze

• BSc or MSc in Computer Science, Software Engineering or related field.
• Minimum 3 years of professional software development experience.
• Strong proficiency in Python and at least one other language (Java, Go, C++ or Rust).
• Solid experience with backend frameworks (FastAPI, Django, Flask or Spring).
• Experience with databases (PostgreSQL, MongoDB, Redis).
• Proficiency with Docker, Kubernetes and cloud platforms (AWS, GCP or Azure).
• Familiarity with CI/CD tools (GitLab CI, GitHub Actions, Jenkins).

Mansioni

• Design, develop and maintain backend systems and APIs for AI-driven sensing platforms.
• Build and optimise data pipelines for ingesting, processing and serving large-scale sensor data.
• Implement system integration layers connecting AI models, databases, sensors and user interfaces.
• Set up and manage CI/CD pipelines, containerised deployments and cloud infrastructure.
• Collaborate with the AI team to deploy and serve machine learning models in production.
• Write clean, well-tested and documented code following software engineering best practices.
• Participate in architectural decisions and technical planning.
• Support DevOps activities and infrastructure monitoring.

Conoscenze

Python

Backend frameworks

Databases

CI/CD

Cloud platforms

Microservices

ML model serving

Formazione

BSc or MSc in CS/Software Eng

Strumenti

Docker

Kubernetes

AWS

GCP

Azure

Descrizione del lavoro

TR2 SRLS Italian innovative SME
Sectors: Indistrial Automation, BlueEconomy, In Space Operation
Activities: computer vision, industrial automation, AI-powered quality control systems
Techonologies: Casual/Generative AI, optical, multispectral/hyperspectral quantum sensing, machine learning, real-time analytics and customised hardware integration.

Career path toward Lead Developer, Software Architect, CTO

Industry sectors

Aerospace & Defence, Information Technology

Technologies you'll work with

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Salary Range

32000 EUR gross/year

Job Description

Develop robust, scalable software architectures for AI-driven sensing systems. You will work across backend, data pipelines and system integration.

This role is central to turning research prototypes into production-grade software. You will design and implement the infrastructure that powers our AI and sensing products, ensuring reliability, scalability and performance across diverse deployment environments.

Responsibilities

• Design, develop and maintain backend systems and APIs for AI-driven sensing platforms
• Build and optimise data pipelines for ingesting, processing and serving large-scale sensor data
• Implement system integration layers connecting AI models, databases, sensors and user interfaces
• Set up and manage CI/CD pipelines, containerised deployments and cloud infrastructure
• Collaborate with the AI team to deploy and serve machine learning models in production
• Write clean, well-tested and documented code following software engineering best practices
• Participate in architectural decisions and technical planning
• Support DevOps activities and infrastructure monitoring

Must-have Requirements

• BSc or MSc in Computer Science, Software Engineering or related field
• Minimum 3 years of professional software development experience
• Strong proficiency in Python and at least one other language (Java, Go, C++ or Rust)
• Solid experience with backend frameworks (FastAPI, Django, Flask or Spring)
• Experience with databases (PostgreSQL, MongoDB, Redis)
• Proficiency with Docker, Kubernetes and cloud platforms (AWS, GCP or Azure)
• Familiarity with CI/CD tools (GitLab CI, GitHub Actions, Jenkins)

Nice-to-have Requirements

• Experience with ML model serving (MLflow, BentoML, Triton)
• Knowledge of message queues (RabbitMQ, Kafka)
• Experience with geospatial data and GIS tools
• Familiarity with microservices architecture patterns
• Contributions to open-source projects
• Experience in space, defence or IoT software systems

Personal Requirements

• Pragmatic problem solver who delivers working software
• Passionate about code quality, testing and automation
• Comfortable working in a fast-moving environment with evolving requirements
• Strong collaborator who bridges the gap between research and engineering
• Continuous learner who stays current with technology trends