1 час назад
DevSecOps Engineer (AIOps)
142 696 - 158 303$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevSecOps Engineer (AIOps): Engineering secure automation solutions, AI-powered infrastructure, agentic AI workflows, and hardened deployment pipelines for critical enterprise systems with an accent on Azure, Kubernetes, infrastructure as code, and security-integrated CI/CD. Focus on securing MCP servers and AI agents, implementing identity and access controls, and mitigating prompt injection and data leakage in Azure-hosted operational environments.
Location: Remote/telework or hybrid/flex within the United States; U.S. citizenship required
Salary: USD $142,696–$158,303 per year
Company
engineers high-technology solutions, products, and services for defense and scientific missions.
What you will do
- Design and implement secure, end-to-end automation solutions for critical enterprise systems.
- Deploy and manage containerized workloads on Azure Kubernetes Service and provision Azure infrastructure with Terraform and Ansible.
- Build and own GitLab CI/CD pipelines integrating SAST, DAST, dependency scanning, and AI-powered operational tooling.
- Design, deploy, and secure Model Context Protocol servers on Azure for AI agents and LLM-powered workflows.
- Build AI agent skills and orchestrate multi-step workflows that interact with Azure infrastructure, CI/CD pipelines, and operational systems.
- Apply technical leadership, security methodologies, and AI-driven continuous improvement across the software development lifecycle.
Requirements
- Bachelor's degree in Software Engineering or a related STEM field with at least 8 years of relevant experience, or a master's degree with at least 6 years of relevant experience.
- U.S. citizenship is required.
- Experience with GitLab CI, AKS, Terraform with the AzureRM provider, and Ansible.
- Knowledge of Azure Policy, RBAC, hardened cluster configurations, and secure deployment practices.
- Experience with OAuth 2.0, OpenID Connect, Microsoft Entra ID, token lifecycle management, and scoped permissions.
- Understanding of AI/ML models, LLM assistants, agentic frameworks, prompt engineering, RAG, model trust boundaries, output validation, prompt injection, and data leakage mitigation.
Culture & Benefits
- Research-oriented work developing practical solutions for national security missions.
- Flexible remote or hybrid/flex schedules, including an optional 9/80 schedule with every other Friday off.
- 401(k) matching, flexible time off, paid parental leave, and healthcare benefits.
- Health and wellness programs, employee resource groups, and social groups.
- Opportunities for continuous learning and professional development.
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