EOS RPO
Software Engineer - Backend Java, Spring, Restful Web Services, Microservices, AI
In this role, you will:
Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
Identify opportunities for service quality and availability improvements within the technology domain environment
Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
Provide information to technology colleagues, internal partners, and stakeholders
Required Qualifications:
2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
Design, develop, test, and maintain backend applications using Java and the Spring framework.
Develop and consume RESTful web services within microservices-based architecture.
Assist in building and integrating event-driven solutions using Kafka or similar messaging technologies.
Develop Python-based components or scripts for automation, data processing, or service integration.
Support the integration of Generative AI and AI/ML capabilities into applications under guidance from senior engineers.
Continuously learn and apply new technologies, including cloud and AI/ML capabilities.
Job Expectations:
Technical Skills: Java, Spring, ORM Technologies, Webservices, Microservices, Kafka, Cloud, Python, GenAI, and AI/ML.
Work on modernization strategy by identifying the need for API and build microservices.
Contributes to software engineering communities of practice and events that explore new and emerging technologies.