DevSecOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
DevSecOps Engineer (AI): Modernizing critical enterprise systems through secure-by-design automation, AI-powered infrastructure, and agentic AI workflows with an accent on security-integrated automation and hardened deployment pipelines. Focus on engineering complete solutions for AI agents, Model Context Protocol (MCP) servers, and intelligent tooling across the Azure stack.
Location: Must be a U.S. citizen. Position is remote or hybrid.
Salary: $142,696–$158,303/year
Company
engineers high-technology solutions and services for defense and scientific missions across all domains.
What you will do
- Engineer secure-by-design automation solutions for enterprise systems.
- Manage containerized workloads on Azure Kubernetes Service (AKS).
- Automate infrastructure provisioning using Terraform and Ansible.
- Integrate security controls into AI agents and Model Context Protocol (MCP) servers.
- Build and own end-to-end CI/CD pipelines with integrated SAST, DAST, and dependency scanning.
- Orchestrate agentic workflows and enable autonomous interaction with Azure infrastructure.
Requirements
- U.S. citizenship required due to the nature of the work.
- Bachelor’s degree in a STEM field plus 8+ years of relevant experience (or Master’s plus 6+ years).
- Proven experience with GitLab CI, Azure Kubernetes Service (AKS), Terraform, and Ansible.
- Hands-on expertise with OAuth 2.0/OpenID Connect and Microsoft Entra ID.
- Experience deploying and securing AI/ML models or agentic frameworks in production.
- Strong understanding of prompt engineering and RAG security patterns.
Culture & Benefits
- Flexible 9/80 work schedule with every other Friday off.
- Competitive 401k matching and comprehensive healthcare benefits.
- Paid parental leave and wellness programs.
- Opportunities for continuous learning and research-oriented work.
- Collaborative environment focused on national security innovation.
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