953,927open jobs
57,674companies
156,942added this week
Browse all
Salary
$135k – $230k per year
Location
Remote (United States)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match

LMI

LMI is a technology solutions and management consulting enterprise specializing in defense, intelligence, healthcare, and public sector modernization. The company focuses on delivering advanced analytics, AI-enabled software, supply chain logistics, cloud transformation, and digital engineering solutions to federal government agencies. Headquartered in Tysons, Virginia, it operates multiple regional offices across the United States to support defense, space, and homeland security missions.

Overview

LMI is seeking a Platform Engineer to design, deploy, operate, and sustain secure cloud-native platform capabilities for a Department of War mission partner. This remote role will focus on Amazon Web Services (AWS)-hosted Kubernetes environments that connect to and operate within the Department of Defense Information Network (DODIN). The Platform Engineer will support platform architecture, infrastructure automation, container orchestration, application onboarding, cybersecurity compliance, observability, troubleshooting, and continuous service improvement. The ideal candidate is a hands-on engineer who can translate mission and application requirements into reliable, repeatable, secure, and supportable platform services.

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.

This is a remote position within the continental United States and requires an active Secret security clearance. The employee must be available during core working hours aligned to the mission partner and may be required to travel periodically to government or LMI locations for integration, testing, maintenance, or mission support.

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.

Qualifications

Required Qualifications:

  • 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.
  • Ability to work effectively in a remote environment, protect government information, maintain reliable connectivity, and travel periodically as required.

Desired Qualifications:

  • 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.

Target salary range: $135,000 - $230,000

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.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job Locations

US-Remote
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
953,927 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
In your city
≈ $174k – $329k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Python
C++
AI/ML
Reinforcement Learning
Apply
≈ $152k – $289k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Kirkland
AI/ML
Reinforcement Learning
LLM
Feature Store
Apply
≈ $179k – $369k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • San Jose
C++
Apply
≈ $171k – $324k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
AI/ML
Fine-tuning
Multimodal AI
Computer Vision
Gemini
Machine Learning
Apply
≈ $124k – $236k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Miami
Python
Java
C++
DevOps
GCP
Cybersecurity
HIPAA
FedRAMP
Apply
$145k – $185k per year • Hybrid • 2+ years exp • Bachelor's Degree
Python
Java
PowerShell
Java
Flyway
Databases
DynamoDB
OpenSearch
Amazon Aurora
AI/ML
Cursor
Claude Code
Langfuse
LLM
LLM Guardrails
DevOps
Rest API
Terraform
Ansible
Helm
Azure DevOps
GitHub Actions
New Relic
Datadog
Azure
CI/CD
AWS
Docker
Kubernetes
Platform Engineering
Configuration Management
Amazon EKS
AWS Fargate
AWS Lambda
Incident Management
Amazon S3
IAM
Amazon ECS
Amazon CloudWatch
AWS Step Functions
API Gateway
DNS
Cybersecurity
SOC 2
NIST 800-53
Least Privilege
Sumo Logic
Apply
$85k – $125k per year • In office • Secret • 3+ years exp • Bachelor's Degree • Middletown
Python
PowerShell
Bash
DevOps
Splunk
Terraform
Puppet
Ansible
Red Hat
OpenShift
Azure DevOps
GitHub Actions
Podman
VMWare
Chef
Prometheus
GitLab CI
Azure
CI/CD
Windows Server
Jenkins
Docker
Kubernetes
Grafana
SRE
Configuration Management
Nagios
KVM
Linux
Windows
TCP/IP
Apply
$145k – $185k per year • Hybrid • 6+ years exp • Bachelor's Degree
Python
PowerShell
Databases
ElasticSearch
AI/ML
Cursor
Claude Code
LLM
Anomaly Detection
DevOps
Terraform
Ansible
Azure DevOps
GitHub Actions
Kibana
New Relic
AWS CDK
Datadog
Logstash
Azure
CI/CD
Windows Server
AWS
Docker
Kubernetes
Nginx
Chaos Engineering
Configuration Management
Graylog
Amazon EKS
AWS Lambda
Amazon EC2
Incident Management
Amazon S3
IAM
Amazon ECS
Amazon CloudWatch
AWS Step Functions
Windows
DNS
Cybersecurity
HashiCorp Vault
SOC 2
NIST 800-53
Least Privilege
Sumo Logic
Active Directory
Cryptography
Vault
Apply
DevOps Engineer 5 hours ago
≈ $17k – $43k per year (Estimated) • Remote (Vietnam) • Full-Time • 5+ years exp • Bachelor's Degree • Ho Chi Minh City
Python
Databases
OpenSearch
DevOps
Splunk
Terraform
Helm
CI/CD
ArgoCD
Jenkins
Git
AWS
Docker
Kubernetes
Platform Engineering
Service Mesh
Amazon EKS
Amazon EC2
Amazon S3
IAM
Amazon ECS
Cybersecurity
HashiCorp Vault
Management
Agile
Apply
$135k – $195k per year • Hybrid • TS/SCI • 11+ years exp • Alexandria
Databases
PostgreSQL
AI/ML
LLM
Human-in-the-Loop
Frontend
GraphQL
DevOps
Rest API
Splunk
Red Hat
Helm
OpenTelemetry
Prometheus
CI/CD
Windows Server
Docker
Kubernetes
Ubuntu
Grafana
SRE
Platform Engineering
GitLab
IAM
Linux
Windows
DNS
Cybersecurity
Nessus
Zero Trust
Least Privilege
SBOM
PKI
Management
SharePoint
ITIL
Apply
$140k – $170k per year • Hybrid • 7+ years exp • Bachelor's Degree • Tysons
Python
JavaScript
TypeScript
C#
AI/ML
LLM
RAG
Structured Outputs
LLM Guardrails
Agentic Workflows
DevOps
Azure
CI/CD
Configuration Management
Apply
$148k – $256k per year • Remote (United States) • Master's Degree • Washington
AI/ML
AI Agents
NIST AI RMF
Machine Learning
DevOps
CI/CD
AWS
Apply
≈ $122k – $266k per year (Estimated) • In office • Tysons
Python
JavaScript
Java
Node JS
AI/ML
LangChain
Grok
Claude Code
LlamaIndex
Prompt Engineering
AI Agents
Semantic Kernel
Gemini
LLM
RAG
Anthropic
OpenAI Codex
LLM Guardrails
Tool Use
Frontend
Next.js
React.js
DevOps
GCP
Azure
CI/CD
AWS
Platform Engineering
Cybersecurity
FedRAMP
Apply
Enterprise AI Lead 10 days ago
$150k – $190k per year • In office • Tysons
Python
JavaScript
Node JS
AI/ML
LangChain
LlamaIndex
Embeddings
AI Agents
Semantic Kernel
LLM
RAG
Semantic Search
Semantic Search
LLM Guardrails
DevOps
GCP
Azure
AWS
Platform Engineering
Apply
$110k – $185k per year • In office • Secret • 7+ years exp • Bachelor's Degree • Tysons
Python
Python
Flask
FastAPI
Django
pySpark
AI/ML
Spark
MLFlow
Scikit-learn
MLlib
Kubeflow
TensorFlow
Pandas
PyTorch
Edge AI
Machine Learning
DevOps
CI/CD
Git
Docker
Kubernetes
Management
Agile
Scrum
Apply
See all jobs
This is one of many
953,927 more open roles from verified company boards, updated every day.