ABOUT DEFCON AI
RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.
In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
About the Role
We are seeking an experienced Cloud Infrastructure Engineer to design, deploy, and administer cloud environments with a strong emphasis on virtualization, automation, and security.
This role owns the full lifecycle of cloud infrastructure — from virtual machine provisioning and network architecture to Infrastructure as Code (IaC) deployments and continuous monitoring.
The ideal candidate brings hands-on experience managing AWS and/or Azure environments, operating container platforms, and translating operational complexity into scalable, secure solutions. Experience working in regulated or compliance-driven industries (e.g., healthcare, defense, finance) is a strong plus.
Key Responsibilities
Cloud Infrastructure & Virtual Systems Administration
Administer and maintain AWS and/or Azure environments, including day-to-day operations of virtual machines, networking, and storage.
Manage VPCs, subnets, routing tables, security groups, NACLs, and private networking constructs
Deploy, maintain, and optimize EC2 instances, RDS, S3, IAM, KMS, Secrets Manager, and CloudTrail
Build and manage hardened VM images (AMIs / golden images) for consistent, repeatable deployments
Implement and support high availability, auto-scaling, and disaster recovery configurations
Support multi-account or multi-subscription cloud governance structures (e.g., AWS Organizations, Azure Management Groups)
Infrastructure as Code (IaC)
Design and maintain infrastructure using Terraform, including modular design, remote state management, and workspace strategies
Lead or support migrations from legacy IaC tooling (e.g., CloudFormation) to modern frameworks
Enforce policy-as-code guardrails and maintain version-controlled infrastructure repositories
Build reusable, secure baseline modules for VPC architecture, IAM roles, logging, monitoring, and encryption
Virtualization & Containerization
Administer virtualized workloads across cloud environments, including sizing, patching, lifecycle management, and cost optimization
Support container-based workloads in ECS and/or EKS, including cluster management, networking, and image security
Assist with transitions from legacy compute paradigms (e.g., EBS-backed instances) to modern container or serverless architectures
Implement automated drift detection and remediation for both VMs and containerized environments
Automation & DevSecOps Integration
Identify and implement automation opportunities to reduce manual operational overhead and improve team velocity
Integrate infrastructure provisioning and security controls into CI/CD pipelines (GitHub Actions, GitLab CI, or equivalent)
Implement and maintain secure secrets management practices
Collaborate with DevSecOps and application engineering teams to enforce least-privilege IAM policies and secure-by-default configurations
Security, Compliance & Monitoring
Apply and maintain security hardening baselines (CIS Benchmarks, DISA STIGs) for Linux and Windows virtual systems
Configure and monitor AWS CloudTrail, GuardDuty, Security Hub, Config, and centralized logging pipelines
Support SIEM integration (e.g., Splunk, Microsoft Sentinel) and assist with incident response
Maintain vulnerability management lifecycle including patching, remediation tracking, and reporting
Support compliance efforts aligned with relevant frameworks (NIST 800-171, CMMC, HIPAA, SOC 2, or FedRAMP as applicable)
Cross-Functional Collaboration & Documentation
Partner with development, security, and IT operations teams to deliver reliable, scalable services
Produce and maintain thorough documentation — architecture diagrams, runbooks, SOPs, and evidence artifacts for audits or assessments
Contribute to budget management, resource planning, and capacity forecasting for cloud environments
Required Qualifications
5+ years of experience in systems administration, cloud operations, or infrastructure engineering
3+ years of hands-on experience managing AWS and/or Azure environments, including virtual machine administration
Strong Terraform experience, including modular design and state management; experience leading IaC migrations is a plus
Demonstrated ability to automate operational workflows and reduce manual effort at scale
Strong understanding of IAM, encryption (KMS, TLS), and network segmentation
Experience with Linux (RHEL/Amazon Linux) and/or Windows Server in a cloud context
Familiarity with containerization technologies (Docker, ECS, EKS, or Kubernetes)
Solid understanding of CI/CD pipelines and DevSecOps practices
Preferred Qualifications
Multi-cloud experience spanning AWS and Azure
Experience in regulated industries such as healthcare (HIPAA), defense (CMMC/NIST 800-171), or financial services (SOC 2)
AWS certifications (Solutions Architect, SysOps Administrator, Security Specialty) or Azure equivalents
CompTIA Security+ or equivalent security certification
Experience with AWS Control Tower, Landing Zones, or equivalent governance tooling
Familiarity with SIEM platforms (Splunk, Microsoft Sentinel)
Experience managing or mentoring distributed technical teams
PMP, CSM, or similar project/program management certification
Active DoD security clearance (Secret or above) or ability to obtain and maintain one
Core Competencies
Infrastructure Ownership — takes end-to-end accountability for cloud environment health, security, and performance
Automation Mindset — proactively identifies manual processes and replaces them with scalable, repeatable solutions
Security-First Thinking — embeds security practices into every layer of infrastructure design and operations
Cross-Functional Communication — translates technical complexity for business and compliance stakeholders
Disciplined Documentation — produces clear, audit-ready artifacts without being asked
Adaptability — comfortable operating across cloud providers, toolchains, and evolving compliance landscapes
What Success Looks Like
Cloud environments (AWS/Azure + EKS) are stable, secure, observable, and documented
Infrastructure changes are repeatable through IaC with clear review and rollback paths
Monitoring/logging and vulnerability remediation are routine—not scramble-driven
Audit support artifacts (diagrams/runbooks/evidence) are kept current and usable
What We Offer:
A fully remote, results-based environment
Competitive salary, bonus, and equity package
100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family
Unlimited PTO, with your manager’s approval
Flexible work environment where you manage your work day
14 weeks of fully-paid parental leave
Salary Range: $140,000-$180,000. This represents the typical salary range for this position based on experience, skills, and other factors.
We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
Applicant Data Disclosure
By submitting an application, you acknowledge that Defcon AI uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:
Managing and administering your application throughout the hiring process;
Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.
Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact .
Defcon AI requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Defcon AI's data retention policies.
For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.