VAEIT’s Infrastructure & Architecture team is the engineering backbone of a 40-person organization delivering network engineering consultancy and network management solutions for Department of Defense customers.
We own the entire infrastructure surface area — AWS accounts, CI/CD pipelines, identity management, security compliance, and production deployments. Demand from the engineering organization is rapidly outpacing current capacity.
This is a force-multiplier hire. The right person will reduce operational risk, accelerate delivery across all engineering teams, and help us transition from reactive support to proactive platform engineering.
What You’ll Own:
AWS Infrastructure & Production Operations
- Operate and evolve a multi-account AWS environment (5 accounts) including ECS Fargate, RDS, Lambda, CloudFront, and multi-VPC architectures
- Manage production ECS services across multiple accounts and clusters
- Define and maintain all infrastructure as code using Terraform — no manual configuration
- Design and manage networking, IAM, security groups, and cross-account access patterns
CI/CD & Developer Experience
- Own and improve GitHub Actions pipelines used across the engineering organization
- Build and maintain workflows for multiple teams and tech stacks (Go, C#, Python)
- Reduce build times and increase deployment reliability to accelerate delivery
Identity, Access & IT Systems
- Administer Microsoft Entra ID (Azure AD) for identity and SSO
- Manage user provisioning, groups, and access policies
- Own GitHub Enterprise configuration, permissions, and security controls
Security & Compliance
- Strengthen software supply chain security, including SBOM generation
- Support and improve FedRAMP compliance posture
- Enforce least-privilege IAM and conduct security audits across environments
Observability & Incident Response
- Operate and evolve monitoring systems (CloudWatch, Prometheus, Alertmanager)
- Improve signal-to-noise ratio in alerting and detection
Physical Infrastructure & MLOps
- Manage on-premise GPU servers for ML training and inference
- Bridge cloud and on-prem infrastructure, enabling scalable ML workloads in AWS
- Support data science teams with reproducible environments and deployment pipelines
- Maintain GPU tooling (NVIDIA drivers, CUDA) and containerized workloads
Automation & Tooling
- Build internal tools (Go, Python, Bash, PowerShell) to eliminate manual work
- Extend Ansible-based configuration management
- Treat operations as software — automate everything possible
Platform Standards & Engineering Excellence
- Define standards for logging, health checks, configuration, and deployment
- Build “golden paths” (templates, starter repos, shared workflows)
- Champion observability practices (structured logging, tracing, SLOs)
- Review infrastructure and deployments to catch reliability and security issues early
Enabling Agentic LLM Systems
- Build infrastructure for LLM-powered products (GPU compute, model serving, vector databases)
- Design deployment pipelines for model versioning, evaluation, and inference routing
- Enable rapid experimentation with self-service GPU-backed environments
- Ensure AI systems meet DoD security requirements (audit logging, isolation, provenance tracking)
What We’re Looking For:
- 5+ years in SRE, DevOps, or Platform Engineering
- Deep AWS experience (ECS/Fargate, RDS, VPCs, IAM, Lambda, CloudFront, multi-account setups)
- Strong Terraform skills (modules, state management, code reviews)
- Experience building and scaling CI/CD systems (GitHub Actions preferred)
- Hands-on Linux administration (including physical or bare-metal systems)
- Experience with GPU/ML infrastructure (CUDA, containerized workloads)
- Proficiency in at least two: Go, Python, Bash, PowerShell
- Strong networking fundamentals and debugging skills
- Experience with identity systems (Entra ID / Azure AD, SSO/SAML)
- Excellent written communication in a remote, async environment
- Highly self-directed and execution-oriented
- U.S. Citizenship (required for DoD work)
Strongly Preferred:
- Experience in DoD or FedRAMP-regulated environments
- MLOps tooling (MLflow, Weights & Biases, pipeline orchestration)
- Migrating GPU workloads from on-prem to AWS (EC2 GPU, SageMaker, ECS)
- Ansible for configuration management
- Software supply chain security (SBOMs, signing, vulnerability scanning)
- Prometheus/Alertmanager experience
- GitHub Enterprise administration at scale
- Container security and ECS optimization
- Familiarity with .NET ecosystems
- Exposure to Rust
Who You Are:
- You apply software engineering rigor to operational challenges
- You instinctively automate rather than rely on manual processes
- You thrive in high-autonomy, high-impact environments
- You communicate clearly and proactively in async workflows
- You’ve operated as a senior IC in a small team with broad ownership
VAE, Inc. is a full service IT Infrastructure Solutions Company focused on building, securing and supporting our clients’ mission critical enterprises. We provide a distinctive array of design, integration and implementation services as well as fully managed service offerings. VAE is at the forefront of leveraging multi-tenant capable technologies and shared IT services to create secure, reliable and cost-effective end-to-end services and solutions. We deliver exceptional infrastructure solutions with extremely talented employees using a client-focused partnering approach.
Certifications
VAE, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.