Responsibilities
- Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations.
- Collaborate with multidisciplinary teams of analysts, engineers, and developers.
- Apply cutting‑edge techniques in statistical analysis, predictive analytics, and more.
- Contribute to the integration of software development, AI, DevSecOps, data engineering, and more in a fast‑paced environment.
Requirements
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field.
- 12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis.
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
- Demonstrated experience collaborating with hybrid teams.
- Ability to analyze and assess software development or data acquisition requirements.
- Experience with Backend microservices, distributed systems, API development, event‑driven architectures, Kubernetes‑native application development, and cloud‑native engineering.
- Preferred languages: Rust, Go, Python, TypeScript, Django.
- Familiarity with Azure/C2S, hardware platforms, and advanced analytical methodologies.
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 effectively within multidisciplinary teams and adapt to fast‑paced environments.
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