DevOps / Infrastructure Engineer

Job Family:
Systems Engineering

Travel Required:
Up to 10%

Clearance Required:
Active Top Secret (TS)

Guidehouse is seeking a DevOps / Infrastructure Engineer cloud developer to join our Technology / AI and Data team, supporting mission-critical initiatives for Defense and Security clients. In this role, you will lead the design, deployment, and automation of secure, scalable cloud infrastructure that powers advanced AI-driven platforms. You will architect solutions leveraging containerized environments, GPU-accelerated clusters, and high-throughput pipelines, while implementing robust DevSecOps practices to ensure compliance with stringent federal security and regulatory standards. Collaborating with engineers, architects, and mission stakeholders, you will deliver innovative cloud capabilities that enable reliable, high-performance workflows in support of national security objectives.

What You Will Do:

• Serves as the lead cloud and DevOps engineer responsible for architecting, deploying, securing, automating, and monitoring AWS GovCloud infrastructure supporting the FBI adjudication AI platform.
• Leads development of GPU-accelerated EKS clusters, secure containerized model-serving environments, distributed inference gateways, vector databases, and high-throughput ingestion pipelines.
• Owns the platform's DevSecOps toolchain including CI/CD automation, IaC, secure pipelines, logging/monitoring integrations, and identity-boundary enforcement aligned with federal requirements.
• Ensures full FedRAMP High, RMF, and FBI ATO alignment across infrastructure controls, logging coverage, network segmentation, encryption, monitoring, and boundary configurations.

Cloud Architecture & AWS GovCloud Engineering

• Design, deploy, and maintain secure AWS GovCloud architectures supporting LLM inference, retrieval services, vector databases, backend APIs, and large-scale document processing pipelines.
• Build and manage GPU-accelerated EKS clusters including autoscaling node groups, GPU scheduling, operators, and optimization for high-performance inference workloads.
• Architect multi-AZ high-availability patterns including health checks, failover mechanisms, and distributed storage strategies.
• Implement VPC designs including private subnets, NAT gateways, VPC endpoints, NACLs, SGs, and traffic inspection layers supporting zero-trust boundaries.

DevSecOps Engineering, Automation & IaC

• Develop CI/CD pipelines automating build, scan, test, deploy, and rollback processes for AI services, APIs, UI applications, and data pipelines.
• Use Terraform/CloudFormation for automated provisioning of networks, clusters, storage, identity boundaries, and monitoring components.
• Embed SAST, SCA, IaC scanning, container scanning, dependency checks, and image attestation into pipelines to enforce supply chain security.
• Automate promotion workflows across dev, staging, and production environments under controlled change-management policies.

Security, Compliance & ATO Alignment

• Implement NIST 800-53, FedRAMP High, RMF, and CJIS controls across encryption, identity management, logging, monitoring, container hardening, and network segmentation.
• Configure KMS key hierarchies, secrets management, token-scoped identities, certificate rotation, and workload identity policies.
• Develop logging and monitoring pipelines using CloudTrail, CloudWatch, GuardDuty, Config Rules, and SIEM integrations.
• Support SSP documentation, boundary diagrams, control-implementation statements, and continuous monitoring filings for the FBI ATO process.

LLM Infrastructure & High-Performance Compute

• Deploy and tune GPU compute environments using G-series or P-series instances optimized for hosting open-weight LLMs and retrieval workloads.
• Enable LLM-serving frameworks (vLLM, TGI, Sagemaker, DeepSpeed-based endpoints) with secure gateways and autoscaling rules.
• Support vector databases (FAISS, pgvector, Elasticsearch), embedding pipelines, retrieval services, and memory-optimized storage.
• Optimize I/O throughput, caching, and container networking for large-scale investigative document ingestion.

Operations, Observability & Reliability

• Implement observability via metrics, traces, logs, health checks, SLOs/SLIs, and operational dashboards.
• Improve reliability using circuit breakers, retry/backoff logic, blue/green deployments, canary rollouts, and automated remediation workflows.
• Develop automated patching, hardened AMIs, OS-level security profiles, container runtime protections, and dependency management routines.
• Ensure highly available infrastructure for adjudication workflows and continuous-vetting operations.

Collaboration, Leadership & Mission Enablement

• Collaborate closely with AI/ML engineers, backend developers, security engineers, and the Solutions Architect to ensure infrastructure aligns with platform requirements.
• Mentor engineers in AWS GovCloud operations, Kubernetes, DevSecOps, IaC engineering, and cloud security best practices.
• Participate in sprint planning, architecture reviews, troubleshooting sessions, and mission-support activities.
• Ensure infrastructure performance, scalability, and reliability enable adjudicators to efficiently process high-volume investigative workloads.

What You Will Need:

• An ACTIVE and MAINTAINED "TOP SECRET" Federal or DoD security clearance and obtained and maintain TS/SCI clearance.
• Minimum of Six (6) years of cloud/DevOps/infrastructure engineering experience, with 4+ years in AWS (GovCloud preferred).
• Bachelor' s Degree or Four (4) additional Years of experience in lieu of degree.
• Expertise with Kubernetes/EKS, GPU node management, Terraform/CloudFormation, CI/CD automation, Docker, and cloud security practices.
• Experience supporting systems requiring FedRAMP High, RMF, CJIS, or similar accreditation frameworks.
• Ability to collaborate across multi-disciplinary engineering teams and deliver solutions in high-security mission environments.

What Would Be Nice To Have:

• AWS Solutions Architect Professional, DevOps Engineer Professional, or Security Specialty certifications.
• Experience deploying or scaling AI/ML or LLM workloads in cloud environments.
• Experience with vector databases, embedding pipelines, retrieval architectures, or RAG infrastructure.
• Experience supporting FBI, IC, DoD, DHS, or other national security programs.
• Experience designing zero-trust architectures, air-gapped deployments, or SCIF-compatible cloud solutions.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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