Build and integrate microservices and REST APIs to support application functionality
Assist in the design and development of solutions leveraging generative AI technologies
Support software and system integration development efforts in support of digital engineering / model-based engineering capabilities
Develop and maintain scalable data pipelines and ontologies
Work cross-functionally with multiple Integrated Product Teams (IPTs) to assist and enable their adoption of new digital engineering capabilities throughout all aspects of the engineering lifecycle
Actively participate in agile development, including program increment planning
Adhere to Systems Engineering and DevSecOps processes to develop applications and workflows that support data analysis and visualization

Requirements

Bachelor of Science degree from an accredited course of study in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science
2+ years related work experience or an equivalent combination of technical education and experience
Coursework or work-related programming experience with any of the following software development languages: Ada, C, C++, C#, JAVA, or Python
2+ years’ experience working in a project utilizing modern software development methodologies (e.g. agile)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

microservicesREST APIsgenerative AIdata pipelinesontologiesagile developmentDevSecOpsAdaCPython

cross-functional collaborationcommunicationproblem-solvingteamworkadaptability

Bachelor of Science degree