Summary
✨ AI‑Generated
Join a technology team building intelligent digital services with AI at the core. As a Java Backend Engineer, you will develop microservices and REST APIs, apply automated testing and observability, monitor production systems, resolve incidents, and help create secure, reliable, explainable, and human-centric AI solutions.
Highlights
Build AI-centered digital services using modern backend engineering practices, with a strong focus on quality, security, reliability, observability, and human-centric AI.
Description
Role 3: Java Backend Engineer
Role summary
We are looking for a Backend Engineer to design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core.
Primary skills
Java, Spring Boot, microservices, REST APIs
Key responsibilities
Design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core.
Apply modern engineering practices, from analyzing user needs and developing new features to automated testing, deployment, and observability.
Ensure quality, security, reliability, and compliance by applying digital principles and implementing functional and non-functional requirements.
Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues.
Advocate for user and stakeholder needs, ensuring AI solutions are explainable, ethical, and human-centric.
Share knowledge openly, contribute to hiring and onboarding, and help shape a collaborative, forward-thinking engineering culture.
Required skills and experience
Strong experience in Java and Spring Boot, including Spring Batch and Spring Cloud, and building microservices.
Proficiency in REST API and GraphQL schema design.
Experience with NoSQL data modelling, such as Azure Cosmos DB; data streaming, such as Confluent Kafka; and authentication/authorization protocols, including OAuth 2.0 and Microsoft Entra ID.
Familiarity with Azure Cloud Services, including App Services, Azure Monitor, and API Management.
Collaborative communication skills: able to express ideas clearly in English and adapt technical content for diverse audiences while working closely with product managers, designers, and engineers in agile settings.
Strong commitment to quality, maintainability, documentation, and continuous learning.
AI-related skills, such as Spring AI or LangChain, are a strong plus.
