Cloud Architect

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 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com .
• 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 guidehouse@myworkday.com .
• 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 recruiting@guidehouse.com .
• 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.