Senior Software Engineer

Jobtailor; Rockville (MD); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a senior software engineering professional to advance distributed backend services and API platforms for enterprise AI operations. You will work with analysts, engineers, and developers to apply statistical and predictive analytics in a fast‑paced environment.

The role emphasizes cloud‑native and Kubernetes‑based development with experience in backend microservices, event‑driven architectures, and cross‑functional collaboration across hybrid teams.

Qualifications

• 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.

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.

Skills

Backend microservices

APIs

Event-driven architectures

Kubernetes-native development

Cloud-native engineering

Python

TypeScript

Rust / Go

Education

Bachelor’s/Master’s or equivalent in quantitative field

Tools

Kubernetes

Azure/C2S

Job description

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.