Job description

Applied Research Solutions is seeking a full-time Jr. Front End Web Developer (with Artificial Intelligence basics and DevSecOps experience) located at Wright Patterson Air Force Base, Ohio to support the Air Force Institute of Technology’s (AFIT) Cyberspace Technical Center of Excellence (CyTCoE). Why Work with us? Applied Research Solutions (ARS) is respected as a world-class provider of technically integrated solutions as we deliver premier talent and technology across our focused markets for unparalleled, continuous mission support. Awarded a Best Places to Work nominee since 2020, ARS recognizes that without our career- driven, loyal professionals, we would not be able to deliver state-of-the-art results for our mission partners. We firmly believe that prioritizing our employees is of the upmost importance. We provide a culture where our employees are challenged to meet their career goals and aspirations, while still obtaining a work/life balance. ARS employees are motivated through our industry competitive benefits package, our awards and recognition program, and personalized attention from ARS Senior Managers. Responsibilities include: • Front end and back end code development and maintenance • AI/ML integration code development and maintenance • Integrate Web Application into enterprise systems via APIs • Execute and interpret results from DevSecOps pipelines and update App as necessary • Collaborate with host teams to deploy Web App and AI/ML capabilities to cloud/kubernetes environments • Define data models and storage solutions for data • Other duties as assigned Desired Experience: • Strong JavaScript/Java background; familiarity with Python • Familiarity with Web Application architecture and use of JavaScript Frameworks (Vue and Quasar in particular) • Familiarity with Document, Graph, and Relational databases (MongoDB, Neo4j, PostegreSQL) • Familiarity with AI/ML principals and techniques • Knowledge of APIs, data integration, and orchestration tools • Familiarity with containers and Kubernetes is a plus • Familiarity with DevSecOps principals and pipelines (Git repo, static and dynamic code analysis, building container images, deployment to Kubernetes) • Understanding of data governance, security, and compliance (esp. in regulated environments like DoD). Qualifications/ Technical Experience Requirements: • Must be a US Citizen • Active Secret clearance or ability to obtain • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related field. • 3+ years of experience in data architecture, data engineering, or cloud solutions. • 2+ years of experience designing or implementing AI/ML solutions in production. • 3+ years of experience in web development (front end preferred)_ • Experience working in MLOps environments and deploying ML models at scale is a strong plus. All positions at Applied Research Solutions are subject to background investigations. Employment is contingent upon successful completion of a background investigation including criminal history and identity check. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability, and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities. This contractor and subcontractor shall abide by the requirements of 41 CFR 60-300.5(a). This regulation prohibits discrimination against qualified protected veterans, and requires affirmative action by covered contractors and subcontractors to employ and advance in employment qualified protected veterans.

Requirements

Must-haves

Why Work with us?
Front end and back end code development and maintenance
AI/ML integration code development and maintenance
Integrate Web Application into enterprise systems via APIs
Execute and interpret results from DevSecOps pipelines and update App as necessary
Collaborate with host teams to deploy Web App and AI/ML capabilities to cloud/kubernetes environments
Define data models and storage solutions for data
Other duties as assigned
3+ years of experience in data architecture, data engineering, or cloud solutions.
2+ years of experience designing or implementing AI/ML solutions in production.

Nice-to-haves

Strong JavaScript/Java background; familiarity with Python
Familiarity with Web Application architecture and use of JavaScript Frameworks (Vue and Quasar in particular)
Familiarity with Document, Graph, and Relational databases (MongoDB, Neo4j, PostegreSQL)
Familiarity with AI/ML principals and techniques
Knowledge of APIs, data integration, and orchestration tools
Familiarity with containers and Kubernetes is a plus
Familiarity with DevSecOps principals and pipelines (Git repo, static and dynamic code analysis, building container images, deployment to Kubernetes)
Understanding of data governance, security, and compliance (esp. in regulated environments like DoD).
Qualifications/ Technical Experience Requirements:
Must be a US Citizen
Active Secret clearance or ability to obtain
Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related field.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlkubernetesjavascriptjavapythonvue

Platform: ukg
Effort: medium