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 12 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
