Software Engineer

Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations. Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. Contribute to the integration of software development, AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment. Requirements Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Software Development, Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions and demonstrating progressive technical development and outcomes. (4+ years with a Master’s). Active Top Secret clearance and eligibility for TS/SCI with Polygraph. Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms. Experience with Backend microservices, Distributed systems, API development, Event‑driven architectures, Kubernetes‑native application development, Cloud‑native engineering. Familiarity with Rust, Go, Python, TypeScript, Django. Core Competencies Demonstrates expertise in developing distributed backend services, APIs, and microservices for enterprise AI operations, with a strong foundation in statistical analysis and predictive analytics. Proven ability to collaborate with multidisciplinary teams to deliver innovative analytical platforms in a fast‑paced environment. #J-18808-Ljbffr