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AI-Powered Job Summary
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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 at Expert.ai is a great opportunity to influence technical decisions, improve our platform's reliability and performance, and drive innovation.
The HeadQuarters 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 GraphQL 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
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
- Strong proficiency in Java, Python, or JavaScript
- Good understanding of object-oriented and functional programming paradigms
- Familiarity with asynchronous programming and concurrent systems
Web Technologies & APIs:
- API design experience (REST, GraphQL, OpenAPI/Swagger)
- Understanding of API versioning and rate limiting
- Basic knowledge of frontend technologies: HTML5, CSS3, JavaScript frameworks
- 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
- Experience with SQL databases: PostgreSQL or MySQL
- Familiarity with NoSQL databases: MongoDB, Redis
- Basic database performance optimization and query tuning
- Experience with cloud-managed database services
- Containerization: Docker, basic Kubernetes knowledge
- Understanding of microservices architecture principles
- Experience with message brokers: RabbitMQ, AWS SQS/SNS, or Azure Service Bus
- Exposure to serverless computing concepts
- Version control: Git, GitHub/GitLab
- 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
- 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
- Monitoring and logging (Prometheus, Grafana, or ELK Stack)
- Cloud-native monitoring tools (CloudWatch or Azure Monitor)
- Basic distributed tracing and performance profiling
- Understanding of load balancing and scaling strategies
- 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
- 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
- Proficiency in Linux or Windows environments
- Command-line expertise and basic scripting capabilities
- Cloud certifications (AWS Cloud Practitioner, Azure Fundamentals)
- Exposure to Infrastructure as Code tools (Terraform, CloudFormation)
- Interest in learning advanced database systems
- Passion for software engineering best practices and continuous learning
- Interest in continuous integration, continuous delivery, and automated deployment
- Ability to adapt in rapidly evolving, innovative environments
- Commitment to code quality and documentation
- Proactive approach to learning new technologies and industry trends
- Variety of exciting challenges with ample opportunities for development and training in a truly global landscape
- Culture and values that focus on teamwork, innovation and passion for artificial intelligence and language
- Flexible working arrangements and attention to work life balance
- Equal opportunity employment experience that values difference and diversity
- Customized induction & Onboarding training that will facilitate the initiation process and accelerate your integration into our daily business activities.
- Performance appraisal process that will bring annual assessment of competencies, targets achievement and areas of improvement
- Welfare platform where you can buy services and goods
Key Skills
Ranked by relevance- cloud9
- aws4
- ai4
- microservices3
- artificial intelligence2
- graphql2
- functional programming1
- continuous integration1
- infrastructure as code1
- continuous delivery1
- technical expertise1
- security practices1
- machine learning1
- cloud security1
- spring boot1
- javascript1
- kubernetes1
- postgresql1
- serverless1
- prometheus1
- terraform1
- rabbitmq1
- ai tools1
- grafana1
- storage1
- python1
- docker1
- nosql1
- maven1
- html51
- linux1
- oauth1
- nginx1
- java1
- gdpr1
- cicd1
- git1
- sql1
- elk1
- s31
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