Back End Developer – Modena

Dettagli della offerta

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!
In this role you will be responsible for back-end development, writing back end code that is highly accessible and maintainable and implemented well-structured, reliable, maintainable APIs in a complex problem domain.
This is an excellent opportunity to increase your knowledge and gain experience in solving complex problems without technical assistance or supervision collaborating closely with our cloud product team and UX design team to build new features.
What you'll do Design, develop, test, and deploy production services and systems that serve thousands of users 24/7
Work closely with Architecture, DevOps, Security and Compliance teams to achieve the company's short- and long-term goals
Facilitate collaboration with other platform engineers, product engineers, and cross functional teams to solve interesting and challenging problems delivering customer value
Ensure our systems are future proof and ready to support our growing scale
Be a valued member of an autonomous, cross-functional agile environment
Be a good team player, coder at heart, and problem solver in attitude
Be a leader of the Expert.ai product developer community
Who you are Minimum 6+ years of hands-on experience in designing, building, testing, debugging and maintaining large-scale, high-throughput domain and event driven microservices based systems
A progressive industry experience in building enterprise class SaaS platforms and applications is considered a plus
Strong conceptual and hands-on practical understanding of distributed computing, streaming systems, relational databases, and NoSQL database systems
Hands-on experience in enterprise backend stack such as Java, SpringBoot/Micronaut, Kafka, Spark Streaming, Redis, Elasticsearch, and MySQL
Hands-on experience building services that involve multi-model services and multi-protocol integration making use of REST, gRPC, Avro/Protobuf, Parquet/Arrow
Experience with authentication, authorization, tenancy management, configuration management, vault management, tokenization, payments, etc.
Experience using tools: Docker, Kubernetes, Terraform
Experience in designing cloud-native platform solutions on AWS
Experience with observability and chaos principles, debugging, and problem solving, leveraging Grafana, Kibana etc.
You are comfortable with large scale production systems encompassing APIs, gateways, orchestrators, databases, load balancing, monitoring, distributed systems, configuration management, and security
You have familiarity with and enthusiasm for software engineering best practices, including but not limited to testing, continuous integration, and continuous delivery
You have the ability to thrive in a rapidly evolving, globally distributed, and remote-first environment
We offer you: 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

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