Advanced Engineering and Infrastructure Lead
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 16, 2026. LMI scores A on the Alion truth index.
Overview
LMI is looking for an Advanced Engineering and Infrastructure Lead to design, build, and operate the enterprise infrastructure that enables secure, scalable, and mission-ready technology solutions. This is a hands-on, builder-lead role combining strategic vision with deep technical execution across cloud, hybrid infrastructure, DevSecOps platforms, and enterprise services. The role focuses on creating infrastructure patterns, standards, and platforms that integrate seamlessly with enterprise AI systems, business applications, IT service delivery, and cybersecurity programs, enabling teams to deploy solutions rapidly, reliably, and securely.
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
What You’ll Do
- Define and implement enterprise architecture patterns and technical standards to support scalable, secure, and maintainable systems
- Design, build, and operate DevSecOps platforms and CI/CD pipelines that accelerate solution delivery across applications and enterprise platforms
- Architect and manage cloud and hybrid infrastructure to support diverse workloads, including compute, storage, virtualization, and containerized services
- Build and maintain secure network architectures, including segmentation, hybrid connectivity, and operational guardrails
- Manage infrastructure lifecycle operations: provisioning, patching, upgrades, monitoring, capacity planning, and end-of-life management
- Implement and enforce security boundaries and hardening standards across all infrastructure layers, in alignment with enterprise cybersecurity policies
- Support integration with enterprise AI platforms, business applications, and IT service delivery workflows, ensuring infrastructure enables adoption and operational readiness
- Collaborate with platform engineering, AI, and application teams to deliver scalable, reusable infrastructure and platform services
- Establish standards and tooling for observability, automation, and operational reliability, ensuring infrastructure is monitored and manageable at scale
- Provide guidance and technical leadership for technology portfolio initiatives, ensuring infrastructure aligns with strategic objectives and supports emerging business and technology needs.
Qualifications
Required Qualifications
- Extensive experience in enterprise infrastructure, cloud, and platform engineering
- Hands-on experience with DevSecOps platforms and automated CI/CD pipelines
- Strong expertise in cloud and hybrid environments, compute, storage, and virtualizationplatforms
- Experience designing and operating secure network architectures and hybrid connectivity
- Knowledge of security boundary management, hardening, and operational controls
- Experience managing the full infrastructure lifecycle, including automation, monitoring, andcapacity planning
- Proficiency in infrastructure as code (Terraform, CloudFormation, or similar) and automationtooling
- Ability to collaborate across technical and business teams, translating requirements into scalableinfrastructure solutions
- Strong communication skills and experience leading technical teams by example
Preferred Qualifications
- Experience with enterprise AI and analytics platforms, supporting integration of AI workloadsinto operational environments
- Familiarity with enterprise applications and IT service delivery platforms
- Experience building internal developer platforms or reusable infrastructure services
- Knowledge of zero trust networking and hybrid connectivity patterns
- Experience with observability, logging, and monitoring platforms
- Exposure to regulated or security-sensitive environments
- Advanced degree in computer science, engineering, or related technical field
What Success Looks Like
- Infrastructure is secure, reliable, and scalable, enabling diverse enterprise workloads includingAI and mission applications
- Platform services and technical standards are widely adopted across enterprise teams
- Operational automation and observability reduce manual intervention and increase resilience
- Security hardening and boundaries are consistently enforced across all systems
- Teams can rapidly deploy applications, AI capabilities, and new services using standardizedinfrastructure
- Integration points with enterprise AI, applications, IT service delivery, and portfolio initiativesare clear, reusable, and functional
Why This Role MattersModern enterprises depend on infrastructure that is scalable, secure, and flexible enough to supportbusiness applications, AI, and emerging technologies. The Advanced Engineering and Infrastructure Leadensures that enterprise infrastructure is operationally resilient, governed, and aligned with technical andbusiness objectives, enabling teams to deliver innovation at scale while maintaining security andreliability.This role is critical for connecting infrastructure with enterprise AI, business applications, IT services, andcybersecurity programs, ensuring that technology delivery is both efficient and strategically aligned.
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.
The target salary range for this position is $150,000-$190,000.
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.