Senior Full Stack Software Engineer

CSG

Fairfax, VA, United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Code Review Continuous Integration Monitoring of Systems

+37 more

Junit Python (Programming Language) Apache Maven Open Web Application Security Role-Based Access Control Prometheus Secure Coding Software Engineering Systems Modeling Language Systems Architecture Systems Integration TypeScript Web Applications Rust (Programming Language) Data Logging ReactJS Retrieval-Augmented Generation Large Language Models Grafana Backend Gitlab SC Clearance Pytest Kubernetes Storage Technologies Information Technology Machine Learning Operations Front End Software Development React Redux Api Design Restful APIs Terraform GPT Devsecops Docker Vulnerability Analysis Microservices

Job description

Design, build, and maintain full-stack features across the iMBSE platform, including user-facing web applications, orchestration APIs, and backend microservices.
Develop and deploy agentic AI solutions, such as LLM-driven workflows, RAG (Retrieval-Augmented Generation) services, and autonomous chat agents.
Collaborate cross-functionally with product owners, domain experts, and other engineers to deliver extensible and secure solutions supporting MBSE workflows.
Contribute to system architecture, ensuring well-defined interfaces, low coupling, and future extensibility.
Ensure compliance with DevSecOps best practices, leveraging CI/CD pipelines and automated testing, security scanning, and cloud-native tooling (see “Our Tech Stack” below).
Mentor junior engineers and champion engineering excellence through code reviews, design discussions, and knowledge sharing

Requirements

BS 10-12, MS 8-10, PhD 5-7
Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field. 5+ years of professional software engineering experience, including significant full-stack development.
Extensive hands-on experience with Python and/or Rust in production environments.
Proven track record building, deploying, and scaling agentic AI solutions (LLM agents, RAG pipelines, etc.) using frameworks such as LangChain, LlamaIndex, or similar.
Proficiency with modern frontend technologies (React, Redux, JavaScript/TypeScript, HTML/CSS) and contemporary backend architectures (REST APIs, microservices).
Strong understanding of cloud infrastructure and platforms (AWS, Azure, Kubernetes, Docker). Experience developing and maintaining CI/CD pipelines (GitLab, Docker, Maven), and automated testing frameworks (pytest, JUnit).
Solid grasp of secure coding practices and DevSecOps workflows Ability to obtain/maintain Secret Clearance. Preferred Qualifications:
Experience integrating with engineering and MBSE tools (e.g., Cameo Systems Modeler, Teamwork Cloud).
Familiarity with storage architectures (graph DBs, relational DBs, blob storage), API-driven platforms, and event-driven workflows.
Experience with AI model orchestration (e.g., LLM/embedding model lifecycle, logging, compliance, RBAC).
Knowledge of system observability tools (Prometheus, Grafana) and automated monitoring/alerting. Exposure to state-of-the-art LLMs (OpenAI GPT-4, Meta Llama 3, etc.) and related AI APIs
Technology and Tools
The ideal candidate should demonstration proficiency in the following technologies:
Languages: Python, Rust, Java, JavaScript (React/Redux) Cloud/Infrastructure: AWS, Azure, Kubernetes, Docker, Terraform DevSecOps: GitLab, Maven, Semgrep, yGuard, OWASP Testing/Observability: pytest, JUnit, Jacoco, OTel, Grafana Stack, MLflow
AI/ML: GPT models, Claude models, Embedding Models, LangChain, LlamaIndex, MCP
MBSE/Domain: Cameo Systems Modeler, Teamwork Cloud, SysML v1 and v2