About The Position

Sabre Systems is currently recruiting for a Cloud Solutions Software Developer to support the NAWCAD Readiness & Fleet Analytics (R&FA) Division’s Advanced Analytics and Innovation (AA&I) Branch at Patuxent River Naval Air Station in Lexington Park, MD. The AA&I Branch provides critical support to Program Management Air (PMA) offices, the Air Systems Group, Command, Fleet Readiness Centers, and other Department of Defense (DoD) services. This position is for a Software Developer (Journeyman) who thrives at the intersection of AI engineering, modern web development, and cloud-based deployments. The selected candidate will be responsible for but not limited to: Design, develop, and deploy advanced software systems and computational solutions to support and modernize sustainment operations Build and integrate intelligent applications, leveraging cutting-edge AI/ML technologies to enhance system performance and operational readiness. Lead data gathering, cleansing, and exploration, utilizing a variety of advanced statistical and machine learning techniques to uncover trends, patterns, and opportunities for improvement Architect scalable systems and algorithms that support data-driven decision-making. Support enterprise-level NAVAIR sustainment initiatives, including the Supply Chain Illumination Platform Risk (SCIPR) and Maintenance Center of Excellence (MxCOE) programs. Collaborating with cross-functional team and develop technically sound and impactful solutions, translating complex concepts into actionable insights for diverse stakeholders

Requirements

  • Technical BS or BA degree in Computer Science or IT discipline
  • 5+ years of experience in web development using JavaScript/TypeScript
  • Experience building and integrating with REST APIs and backend services
  • Familiarity with modern front-end best practices, performance optimization, and responsive design
  • Strong experience with SQL and working with structured data
  • Exposure to cloud environments (e.g., AWS, Azure); GovCloud experience a plus
  • Comfortable working with pre-trained ML models and integrating services like OpenAI APIs or vector databases (e.g., Pinecone, FAISS, Weaviate)
  • At least 5 years of experience analyzing data to solve complex problems and run frequent excursion requests from senior leadership
  • Secret security clearance

Nice To Haves

  • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related technical field
  • Relevant cloud certifications, such as AWS GovCloud certification or equivalent
  • Familiarity with secure cloud environments, particularly AWS GovCloud, and deploying solutions in government or compliance-heavy environments
  • Familiarity with data visualization tools like Tableau, Power BI, or custom dashboards
  • Prior experience with NAVAIR, NAWCAD, or related Navy aviation systems such as: NAMP, DECKPLATE, OOMA, AMSRR, RSUPPLY, AFAST, ACES, TFMMS, SHARP/MSHARP, PSILS, ASM
  • Working knowledge of U.S. Navy aviation maintenance, logistics, or fleet operations
  • Experience working with embedding models and Retrieval-Augmented Generation (RAG) pipelines
  • Familiarity with Python-based machine learning tools, such as scikit-learn or TensorFlow (no model training required)
  • Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) and integrating them into web applications
  • Experience developing AI-powered or data-driven user interfaces
  • Background in statistical modeling, data mining, or using ML algorithms to inform application features
  • Understanding of data privacy, security protocols, and DoD compliance (e.g., DISA STIGs, IL4/IL5)
  • Strong written and verbal communication skills for collaboration with technical and non-technical stakeholders

Responsibilities

  • Design, develop, and deploy advanced software systems and computational solutions to support and modernize sustainment operations
  • Build and integrate intelligent applications, leveraging cutting-edge AI/ML technologies to enhance system performance and operational readiness.
  • Lead data gathering, cleansing, and exploration, utilizing a variety of advanced statistical and machine learning techniques to uncover trends, patterns, and opportunities for improvement
  • Architect scalable systems and algorithms that support data-driven decision-making.
  • Support enterprise-level NAVAIR sustainment initiatives, including the Supply Chain Illumination Platform Risk (SCIPR) and Maintenance Center of Excellence (MxCOE) programs.
  • Collaborating with cross-functional team and develop technically sound and impactful solutions, translating complex concepts into actionable insights for diverse stakeholders
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service