Job Details

Overview

LMI is seeking a Cloud Engineer to support our LIGER platform to meet specific customer needs. This position requires an active secret security clearance.

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

• Design, deploy, and maintain software infrastructure in both cloud (AWS, Azure, Google Cloud Platform) and on-premises environments, adapting to customer classification requirements (IL2-IL6).
• Serve as the engineering point-of-contact for application delivery, including performance monitoring, issue escalation, and resolution.
• Ensure all infrastructure solutions comply with government and industry security mandates; maintain working knowledge of applicable frameworks (NIST, CMMC, FedRAMP).
• Partner with cybersecurity resources to document security controls, support IATT and ATO processes, and provide audit metrics.
• Configure and administer cloud accounts and organizational structures (projects, IAM, networking) within IL4/IL5/IL6 environments across AWS, Azure, and Google Cloud Platform.
• Build, deploy, and manage containerized workloads, including AI/ML application components, using tools such as Docker and Kubernetes.
• Support data pipeline configuration and integration with services such as BigQuery, Pub/Sub, or Dataflow where applicable to the deployment environment.
• Implement and maintain High Availability and Disaster Recovery configurations in accordance with government and industry standards.
• Contribute to DevSecOps pipeline setup and maintenance within government cloud and on-premises frameworks.
• Manage competing customer priorities independently, escalating risks, constraints, and blockers to appropriate stakeholders

Qualifications

Minimum Qualifications:

• Active Secret security clearance
• Bachelor's degree in a technical discipline (computer science, engineering, mathematics, or related field)
• Experience designing and deploying solutions in at least one major cloud platform (AWS, Azure, or Google Cloud Platform)
• Experience supporting hybrid or multi-cloud environments
• Experience with CI/CD pipelines and automated deployments using tools such as GitLab
• Experience deploying and managing containerized workloads (Docker, Kubernetes, or equivalent)
• Experience with infrastructure-as-code tools (Terraform, Ansible, or equivalent)
• Proficiency with Linux administration and command-line tooling
• Experience with Agile development methodologies
• Prior experience delivering technology solutions in a U.S. government environment

Preferred Qualifications:

• Master's degree in a technical discipline
• Active Top Secret security clearance
• Cloud platform certification (AWS, Azure, or Google Cloud Platform)
• Experience operating in IL4, IL5, or IL6 classified environments
• Experience supporting software deployments in classified or air-gapped environments
• Experience with Cross-Domain Solutions (e.g., IL4 to IL6)
• Familiarity with FedRAMP, FISMA, and federal ATO processes
• Experience deploying or supporting AI/ML application platforms or LLM-based tools in government environments
• Experience with vulnerability scanning tools or software supply chain security (Trivy, Grype, Veracode, Cosign, SBOM generation, or equivalent)
• Experience configuring identity and access management in cloud environments (Okta, AWS IAM, Zero Trust architectures, or equivalent)
• Familiarity with Google Cloud Platform-specific services (BigQuery, Pub/Sub, Dataflow, GKE)
• Experience with U.S. Army technology systems, command and control policies, or Army-specific programs

Target salary range: $122,210 - $200,000

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.

Options

Apply for this job onlineApply

Share

Email this job to a friendRefer

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.

Share on your newsfeed

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Need help finding the right job?