Machine Learning Engineer

LMI is a digital solutions provider delivering technology and mission-ready solutions to federal agencies. The Machine Learning Engineer role focuses on designing, deploying, operating, and sustaining secure AWS-based Kubernetes platforms for Department of War mission applications, including infrastructure automation, cybersecurity compliance, observability, troubleshooting, and continuous service improvement.

Responsibilities:

• Design, deploy, configure, operate, and sustain AWS-based platform services supporting mission-critical Department of War applications and workloads
• Administer Kubernetes clusters and supporting services, including cluster configuration, node groups, namespaces, role-based access control, ingress, service discovery, storage, secrets management, network policies, autoscaling, upgrades, and lifecycle maintenance
• Build and maintain repeatable infrastructure and platform configurations using infrastructure-as-code tools such as Terraform, AWS CloudFormation, or equivalent customer-approved technologies
• Develop, maintain, and improve continuous integration and continuous delivery pipelines, GitOps workflows, container registries, artifact repositories, automated testing, and deployment controls
• Onboard, configure, deploy, and sustain containerized applications across development, test, staging, and production environments
• Integrate platform services with DODIN network services, identity and access management, public key infrastructure, logging, monitoring, vulnerability management, endpoint security, and other government enterprise services
• Implement and maintain secure platform configurations aligned with approved security baselines, Defense Information Systems Agency Security Technical Implementation Guides, Risk Management Framework requirements, and Authority to Operate conditions
• Monitor platform availability, performance, capacity, security posture, and application health using AWS-native and customer-approved observability tools
• Troubleshoot complex issues involving Linux, containers, Kubernetes, AWS services, networking, Domain Name System, certificates, encryption, load balancing, storage, compute, identity, and application dependencies
• Perform platform patching, vulnerability remediation, configuration management, backup, recovery, and controlled upgrade activities while minimizing mission disruption
• Collaborate with cybersecurity, network, software, data, systems engineering, and mission teams to resolve dependencies and deliver integrated capabilities
• Develop and maintain platform architecture documentation, configuration standards, operating procedures, runbooks, troubleshooting guides, deployment instructions, and knowledge articles
• Support technical interchange meetings, architecture reviews, release planning, change control, incident response, root-cause analysis, and after-action reviews
• Provide clear status reporting on platform health, technical risk, security findings, maintenance activities, dependencies, and recommended actions
• Participate in scheduled maintenance and time-sensitive incident response outside normal working hours when required by mission needs

Requirements:

• Active Secret security clearance
• Minimum of five years of directly relevant professional experience in platform engineering, cloud engineering, DevSecOps, systems engineering, Linux systems administration, or a closely related technical field
• Demonstrated hands-on experience operating, integrating, or sustaining systems connected to the DODIN, including familiarity with Department of Defense network access, security, configuration, and operational requirements
• Current Department of Defense 8570-compliant certification appropriate to the assigned information assurance or cybersecurity workforce functions
• Demonstrated hands-on experience deploying, administering, troubleshooting, and upgrading Kubernetes environments
• Demonstrated hands-on experience with AWS infrastructure and services, including compute, networking, storage, identity, security, monitoring, and automation capabilities
• Experience administering Linux-based systems and troubleshooting operating system, process, package, file system, permissions, networking, and performance issues
• Experience building, securing, deploying, and operating containers using Docker, Open Container Initiative-compatible technologies, or equivalent container tooling
• Experience with infrastructure as code, configuration automation, source control, continuous integration and continuous delivery pipelines, and repeatable deployment practices
• Working knowledge of enterprise networking concepts, including TCP/IP, routing, firewalls, Domain Name System, load balancing, virtual private networks, Transport Layer Security, certificates, and network segmentation
• Working knowledge of Department of Defense cybersecurity and authorization practices, including Risk Management Framework activities, Security Technical Implementation Guides, vulnerability management, continuous monitoring, and Authority to Operate requirements
• Ability to independently diagnose complex technical problems, coordinate across multiple technical teams, document findings, and drive issues through resolution
• Strong written and verbal communication skills, including the ability to explain technical issues, risks, and recommendations to engineering, cybersecurity, program, and mission stakeholders
• Experience operating Kubernetes on Amazon Elastic Kubernetes Service within AWS GovCloud or another Department of Defense-authorized cloud environment
• Experience supporting systems at Department of Defense Impact Level 4, Impact Level 5, or Impact Level 6
• Experience with Terraform, AWS CloudFormation, GitLab, GitHub Actions, Jenkins, Argo CD, Helm, Kustomize, or comparable platform engineering and GitOps tools
• Experience with observability technologies such as Amazon CloudWatch, Prometheus, Grafana, OpenSearch, Elastic, Fluent Bit, or comparable logging and monitoring platforms
• Experience with container security, software supply-chain controls, image scanning, software bills of materials, Iron Bank images, or hardened container baselines
• Experience integrating platform services with Common Access Card authentication, Department of Defense public key infrastructure, identity providers, role-based access control, attribute-based access control, or Zero Trust architectures
• Experience with service mesh, secrets management, policy as code, automated compliance, high availability, disaster recovery, or multi-account AWS architectures
• AWS, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Linux, cybersecurity, or related professional certification
• Prior experience directly supporting a Department of War mission partner, combatant command, military service component, Special Operations Forces organization, or other national security customer
• Only US Citizens are eligible for a security clearance