DevSecOps云自动化工程师 - 需要安全许可
DevSecOps Cloud Automation Engineer - Clearance Required
概述
LMI正在寻找一位经验丰富的DevSecOps及云自动化工程师，以支持美国陆军训练信息系统（ATIS）项目。ATIS正在将陆军训练系统现代化为安全的、云原生的企业能力。在SAFe敏捷发布列车（ART）中工作，这个实际操作的个人贡献者角色将构建、保护、维护和优化支持ATIS应用程序在AWS GovCloud中的自动化、基础设施和CI/CD能力。
理想的候选人是一个自主的技术问题解决者，能够独立解决复杂的工程挑战，改进现有解决方案，减少不必要的复杂性，清晰沟通，并跨应用、云、架构和网络安全团队协作。此职位需要一个既能提供技术指导又能亲自实施解决方案的人。
LMI是一家新型的数字解决方案提供商，致力于通过创新和速度加速政府影响。提前于需求投资技术和原型，LMI以商业级平台和任务就绪的AI为联邦机构提供服务，速度与商业一致。
利用我们任务就绪的技术和解决方案、在联邦部署方面的专业经验和战略关系，我们高效且有效地提升政府成果。专注于敏捷性和协作，LMI服务于国防、太空、医疗保健和能源领域——帮助机构应对复杂性并超越变化。总部位于弗吉尼亚州泰森斯，LMI致力于提供增强任务并推动持久价值的影响结果。
职责
• 开发、维护和标准化GitLab CI/CD流水线，包括可重用作业、父/子流水线、运行器、触发器和集成安全测试。
• 使用Terraform和其他自动化工具构建和维护AWS GovCloud基础设施，强调可重用、有弹性的、安全的和可维护的解决方案。
• 创建和维护Ansible Playbooks，用于Windows和Linux的安装、补丁、加固、配置和运维支持。
• 支持AWS服务和容器化工作负载，包括EC2、RDS、ECR/EKS、系统管理器、密钥管理器，以及经批准/加固的容器镜像，如Iron Bank。
• 自动化安全控制、漏洞修复和验证；支持国防部安全工具，如ACAS、Elastic Agent、CloudWatch代理及相关功能。
• 排查故障并独立进行根因分析，快速响应问题，确保系统稳定运行。
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Overview
LMI is seeking an experienced DevSecOps & Cloud Automation Engineer to support the U.S. Army Training Information System (ATIS) program. ATIS is modernizing Army training systems into a secure, cloud-native enterprise capability. Working within a SAFe Agile Release Train (ART), this hands-on individual contributor role will build, secure, maintain, and optimize the automation, infrastructure, and CI/CD capabilities that support ATIS applications in AWS GovCloud.
The ideal candidate is a self-directed technical problem solver who can independently solve complex engineering challenges, improve existing solutions, reduce unnecessary complexity, communicate clearly, and collaborate across application, cloud, architecture, and cybersecurity teams. This role requires someone who is comfortable both providing technical direction and personally implementing solutions.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
• Develop, maintain, and standardize GitLab CI/CD pipelines, including reusable jobs, parent/child pipelines, runners, triggers, and integrated security testing.
• Build and maintain AWS GovCloud infrastructure using Terraform and other automation, emphasizing reusable, resilient, secure, and maintainable solutions.
• Create and maintain Ansible Playbooks for Windows and Linux installation, patching, hardening, configuration, and operational support.
• Support AWS services and containerized workloads, including EC2, RDS, ECR/EKS, Systems Manager, Secrets Manager, and approved/hardened container images such as Iron Bank.
• Automate security controls, vulnerability remediation, and validation; support DoD security tooling such as ACAS, Elastic Agent, CloudWatch agents, and related capabilities.
• Troubleshoot and independently resolve complex infrastructure, pipeline, operating system, networking, container, and security issues.
• Identify opportunities to simplify, standardize, and improve existing DevSecOps and cloud capabilities while reducing technical debt and redundant solutions.
• Collaborate across application, cloud, cybersecurity, and architecture teams to develop and implement solutions that support changing ATIS priorities.
• Create and maintain runbooks, architecture diagrams, technical documentation, and reusable patterns that enable team self-sufficiency and knowledge transfer.
• Provide technical guidance and mentorship to other engineers while remaining directly engaged in hands-on engineering and implementation.
Qualifications
Required Qualifications
- Bachelor’s degree in computer science, information technology, engineering, or a related technical field, or equivalent relevant experience.
- 7+ years of hands-on DevSecOps, cloud, platform, systems, or infrastructure automation experience.
- Strong hands-on experience with AWS, GitLab CI/CD, Terraform, and Linux administration in production environments.
- Experience with configuration management and automation tools such as Ansible.
- Working knowledge of containers, cloud networking, IAM, and secure infrastructure design.
- Experience implementing cybersecurity guardrails, vulnerability remediation, and automated security validation in secure or regulated environments.
- Demonstrated ability to independently troubleshoot and resolve complex infrastructure, pipeline, operating system, networking, container, and security issues.
- Strong technical communication, documentation, and independent problem-solving skills, with the ability to collaborate effectively across application, cloud, architecture, and cybersecurity teams and manage competing priorities.
- Active DoW Secret security clearance.
- Active DoDI 8140-compliant certification (e.g., Security+, CISSP, CISM) or ability to obtain.
Preferred Qualifications
- AWS GovCloud experience and familiarity with NIST, RMF, DoD 8140, and DoD authorization/compliance processes.
- Experience with Kubernetes/EKS, ECR, GitOps, and containerized application delivery.
- Experience with Army/DoW security and monitoring tools such as ACAS, Elastic Agent, and CloudWatch agents.
- Experience standardizing DevSecOps and cloud capabilities at scale and supporting ATO activities.
- Experience working within a SAFe Agile Release Train (ART) or supporting Army, DoD, or other mission-critical systems.
Travel Requirements
· Occasional travel required for PI Planning, program events, user engagement sessions, and key milestones.
Target Salary Range: $140,000 - 165,000.
Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
Job Locations
US-RemoteOriginally posted on Himalayas