Back End Developer

Expert.ai is the premier artificial intelligence platform for language understanding. Its unique hybrid approach to NL combines symbolic human-like comprehension and machine learning to transform language-intensive processes into practical knowledge, providing the insight required to improve decision making throughout organizations.
Our mission is simple: we want to create technology that transforms language into knowledge and insight!
Our vision is to make anyone an expert with simple, powerful AI tools that capture the value of natural language.
With your help, Expert.ai will continue to create experts all over the world. Join us to make a difference!
We are looking for an open minded, highly motivated person to reinforce our Flagship Platform team with a permanent contract.
In this role you will be responsible for designing and building scalable backend systems that power our AI platform and be part of a dynamic and growing Expert.ai team. You will work at the intersection of backend engineering and AI technology together with product owners, engineers, and researchers, you will help architect robust APIs, microservices, and infrastructure that enable innovative AI-driven solutions.
This is an excellent opportunity to increase your knowledge and gain experience in building enterprise-grade, cloud-native systems. You will also use your technical expertise to optimize system performance, ensure scalability, and implement best practices across our platform architecture. This role  is a great opportunity to influence technical decisions, improve our platform's reliability and performance, and drive innovation.
The Head Quarters are based in Modena; work from home flexibility can be evaluated according to the job position and to the candidate experience.

What you will do:

As a Backend Engineer on our Platform team, you will:
Design and implement backend APIs with RESTful and Graph

QL services
Contribute to building and maintaining microservices architectures
Implement security practices including authentication, authorization, and data protection
Perform testing including unit, integration, and performance validation
Collaborate with Tech Leads, Software Engineers, and cross-functional teams on customer projects
Participate in code reviews and contribute to code quality standards
Who you are:

Education & Experience:

Minimum 3+ years of hands-on experience in designing, building, and testing cloud-native systems
Experience working in enterprise environments with exposure to complex solution design
Core Programming

Skills:

Strong proficiency in Java, Python, or Java Script
Good understanding of object-oriented and functional programming paradigms
Familiarity with asynchronous programming and concurrent systems
Technical Expertise:
Web Technologies & APIs:
API design experience (REST, Graph

QL, OpenAPI/Swagger)
Understanding of API versioning and rate limiting
Basic knowledge of frontend technologies: HTML5, CSS3, JavaScript frameworks
Cloud Platforms & Services:

Experience with at least one major cloud provider: AWS or Azure
Understanding of cloud-native architecture principles
Familiarity with cloud services: EC2, Lambda, S3, RDS (AWS) or App Services, Functions, Storage (Azure)
Basic knowledge of cloud security: IAM, security groups, secrets management
Databases & Data Management:

Experience with SQL databases:
Postgre

SQL or MySQL
Familiarity with No

SQL databases:
Mongo

DB, Redis
Basic database performance optimization and query tuning

Experience with cloud-managed database services
Cloud-Native Technologies:
Containerization:
Docker, basic Kubernetes knowledge
Understanding of microservices architecture principles

Experience with message brokers:
Rabbit

MQ, AWS SQS/SNS, or Azure Service Bus
Exposure to serverless computing concepts
Development & Dev Ops:
Version control:
Git, Git Hub/Git Lab

Experience with CI/CD pipelines
Build tools:
Maven or Gradle
Application frameworks:
Spring Boot or similar
Web servers:
Tomcat, Nginx, or Apache
Basic cloud deployment automation
Security & Compliance:
Understanding of authentication and authorization (OAuth 2.0, JWT)
API security best practices
Data encryption and secure coding practices
Awareness of GDPR and compliance requirements
Observability & Performance:
Monitoring and logging (Prometheus, Grafana, or ELK Stack)
Cloud-native monitoring tools (Cloud Watch or Azure Monitor)
Basic distributed tracing and performance profiling
Understanding of load balancing and scaling strategies
System Architecture:
Understanding of distributed systems and event-driven architectures
Exposure to streaming systems and real-time data processing
Familiarity with configuration management
Knowledge of scalability patterns
Soft Skills &

Collaboration:

Good communication skills in English (oral and written)
Willingness to learn from senior developers and participate in technical discussions
Ability to work with distributed, remote teams
Strong problem-solving and debugging capabilities
Collaborative mindset and team player attitude
Operating Systems:
Proficiency…