DevSecOps Cloud Automation Engineer - Clearance Required

LMI; Tysons (VA); Remote; USD 140,000 - 185,000; Full time

Job summary

LMI in Tysons, Virginia is seeking an experienced DevSecOps & Cloud Automation Engineer to build, secure, maintain, and optimize automation, infrastructure, and CI/CD capabilities that support ATIS applications in AWS GovCloud.

The role requires hands-on delivery, strong problem-solving skills, and collaboration across application, cloud, cybersecurity, and architecture teams. A DoD Secret clearance and DoDI 8140 familiarity (or ability to obtain) are required.

Qualifications

• Bachelor's degree in computer science, information technology, engineering, or related field, or equivalent 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.
• 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 troubleshoot and resolve complex infrastructure, pipeline, OS, networking, container, and security issues.
• Strong technical communication and documentation skills; able to collaborate across teams and manage priorities.
• Active DoD Secret security clearance and DoDI 8140-compliant certification (or ability to obtain).

Responsibilities

• Develop, maintain, and standardize GitLab CI/CD pipelines, including reusable jobs and security testing.
• Build and maintain AWS GovCloud infrastructure using Terraform and automation.
• Create and maintain Ansible Playbooks for Windows and Linux installation, patching, hardening, configuration.
• Support AWS services and containerized workloads (EC2, RDS, ECR/EKS, Systems Manager, Secrets Manager).
• Automate security controls, vulnerability remediation, and validation; support DoD tooling like ACAS and CloudWatch agents.
• Troubleshoot and resolve complex infrastructure, pipeline, OS, networking, container, and security issues.
• Identify opportunities to simplify and standardize DevSecOps and cloud capabilities; reduce debt.
• Collaborate across teams to support ATIS priorities; develop runbooks and architecture diagrams.
• Provide technical guidance while remaining hands-on in engineering and implementation.

Skills

DevSecOps

Cloud engineering

GitLab CI/CD

Terraform

Linux administration

Ansible

Containers

IAM

Security design

Cybersecurity guardrails

Vulnerability remediation

DoD security clearance

DoDI 8140 certs (e.g., Security+, CISR

Education

Bachelor's degree in CS/IT/Engineering

Tools

AWS GovCloud

GitLab

Terraform

Linux

Ansible

Kubernetes/EKS

ECR

ACAS

Elastic Agent

CloudWatch agents

Job description

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 - 185,000.

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

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Job Locations

US-Remote