AI-Driven Java Engineer

About the role

The team operates in Agile Scrum pods and is responsible for designing, developing, testing, and delivering highly scalable identity solutions used across the enterprise. In addition to engineering excellence, this team is actively driving AI adoption across the organization.

Responsibilities

• Design, develop, and enhance enterprise authentication and authorization services
• Build scalable Java-based microservices using modern Spring technologies
• Partner with AI tools throughout the software development lifecycle
• Create API specifications and service designs using tools such as Swagger/OpenAPI
• Participate in Agile ceremonies including sprint planning, standups, refinements, and retrospectives
• Review, validate, and improve AI-generated code and technical solutions
• Develop and execute unit and integration test strategies
• Collaborate with engineers, architects, product stakeholders, and leadership
• Contribute to technical design decisions and architecture discussions
• Help drive modern AI-enabled engineering practices across teams
• Mentor peers and promote engineering best practices

Requirements

• 3+ years of Backend Java engineering experience
• Strong experience with Java 11+ (or newer)
• AI-First Engineering Experience
• Proven experience developing microservices using Spring Boot
• Experience with Spring Data, Hibernate, or similar ORM technologies
• Strong understanding of software design patterns and engineering best practices
• Experience working with relational and NoSQL databases
• Strong communication and collaboration skills
• Experience participating in design and architecture discussions
• Experience with unit testing frameworks such as: JUnit Mockito

Qualifications

• Portfolio examples, side projects, product launches, and entrepreneurial experience are strongly encouraged.
• If you're a Java engineer who has evolved beyond traditional development and is excited about AI-powered software engineering, we'd love to connect with you.

Skills

• Passionate about modern software development
• Active use of AI in daily workflow
• Experience building products both inside and outside of work

Benefits

• Not specified

Pay

• Not specified

Schedule

• Hybrid - Tuesday, Wednesday, Thursday Onsite