Cloud Architect
$130k - $216kGuidehouse
Job Family :
IT Architecture/Cloud
Travel Required :
Up to 10%
Clearance Required :
Ability to Obtain Public Trust
What You Will Do :
Role Summary
Guidehouse is seeking a Senior Cloud Architect to lead the modernization and migration of large, mission-critical applications from AWS to Google Cloud. This role provides architectural leadership across cloud platforms, data modernization, security, DevSecOps, and enterprise systems engineering. The Architect will support a high‑visibility federal system, ensuring secure, reliable, and scalable cloud operations aligned with federal SDLC/SELC methodologies.
Key Responsibilities
Cloud Architecture & Modernization
Lead the end-to-end strategy, design, and implementation of cloud modernization initiatives for a complex federal enterprise system.
Architect secure, scalable environments in Google Cloud and drive migration from AWS using industry-standard patterns (rehost, re-platform, refactor).
Establish cloud governance, resource hierarchy, network architecture, IAM policies, and resiliency strategies.
Support teams in deploying managed Google Cloud AI products (e.g., Vertex AI endpoints, Gemini-based developer tools, Dialogflow agents) as part of broader cloud modernization efforts
Migration Leadership (AWS → Google Cloud)
Assess existing architectures and develop migration roadmaps, sequencing, and cutover plans.
Map AWS services to Google Cloud equivalents and ensure platform readiness for production workloads.
Oversee containerization, orchestration (e.g., Kubernetes/GKE), data migration, and modernization of legacy components.
DevSecOps, CI/CD, and Infrastructure Automation
Define and implement Terraform-based IaC, GitOps workflows, automated deployments, security gates, and policy-as-code.
Mature CI/CD pipelines to support release-on-demand, automated testing, and compliance validation.
SDLC / SELC Compliance (Federal Environment)
Ensure all architecture deliverables, design artifacts, security documentation, readiness reviews, and testing approaches comply with federal SDLC/SELC standards, including traceability, documentation, verification/validation, and audit readiness.
Partner with program management, engineering teams, and federal stakeholders to meet lifecycle governance requirements.
Operational Excellence & Reliability
Implement observability across logging, monitoring, tracing, performance tuning, and resilience testing.
Maintain high availability and continuity-of-operations (COOP) expectations required for critical federal systems.
Technical Leadership & Collaboration
Advise senior leadership and technical teams; guide architectural decisions and modernization direction.
Mentor engineering teams across multiple Agile squads and support PI planning, backlog refinement, and architectural reviews.
Represent the cloud architecture discipline in stakeholder engagements, technical forums, and enterprise planning sessions.
AI-Enablement
Demonstrates expertise in designing, implementing, and governing AI-enabled cloud solutions.
Applies knowledge of generative AI, machine learning, and large language model (LLM) technologies to architect scalable, secure, and cost-effective enterprise solutions.
Develops Retrieval-Augmented Generation (RAG) architectures, vector search solutions, and AI-driven automation workflows that integrate enterprise data sources while adhering to security, privacy, and regulatory requirements.
What You Will Need :
Required Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, Electrical Engineering, or a related technical field.
TEN (10+) years of progressive experience in cloud architecture and enterprise modernization.
Demonstrated experience migrating complex systems from AWS to Google Cloud at scale.
Deep expertise across GCP services: Compute, GKE, VPC networking, IAM, Cloud SQL/AlloyDB, BigQuery, KMS, logging/monitoring.
Strong understanding of federal SDLC/SELC or similar structured lifecycle methodologies.
Expert-level proficiency with Terraform, CI/CD pipelines, DevSecOps, and security engineering principles.
Experience leading large cloud engineering teams in Agile environments.
Google Professional Cloud Architect certification ( or obtained within first 6 months ).
What Would Be Nice To Have :
Experience modernizing large federal systems or other regulated enterprise environments.
Hands-on experience with data modernization, analytics platforms, and cloud-native data pipelines.
Experience developing cloud governance frameworks, COE structures, FinOps practices, and cost‑optimization strategies.
Experience deploying or integrating cloud-based AI/ML services—such as Google Cloud Vertex AI, Gemini, or Dialogflow—into enterprise applications.
The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
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.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at View phone number on click.appcast.io or via email at View email address on click.appcast.io . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or View email address on click.appcast.io . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact View email address on click.appcast.io . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
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