Remote Senior Full Stack Software Engineer Security Clearance

Position: Remote Senior Full Stack Software Engineer with Security Clearance
Key Responsibilities:

• 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 Dev Sec Ops  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

Minimum Qualifications:

• 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 Lang Chain, Llama Index, or similar.

• Proficiency with modern frontend technologies (React, Redux, JavaScript/Type Script, 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 (Git Lab, Docker, Maven), and automated testing frameworks (pytest, JUnit).

• Solid grasp of secure coding practices and Dev Sec Ops  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 Dev Sec Ops :
Git Lab, Maven, Semgrep, yGuard, OWASP Testing/Observability: pytest, JUnit, Jacoco, OTel, Grafana Stack, MLflow

• AI/ML: GPT models, Claude models, Embedding Models, Lang Chain, Llama Index, MCP

• MBSE/Domain:
Cameo Systems Modeler, Teamwork Cloud, SysML v1 and v2