Cloud Architect

Job Family:

IT Architecture/Cloud

Up to 10%

Ability to Obtain Public Trust

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, Dev Sec Ops , 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.

• 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

• 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.

• Define and implement Terraform-based IaC, Git Ops workflows, automated deployments, security gates, and policy-as-code.
• Mature CI/CD pipelines to support release-on-demand, automated testing, and compliance validation.

• 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.

• 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.

• 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.

• 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.

• 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, Big Query, KMS, logging/monitoring.
• Strong understanding of federal SDLC/SELC or similar structured lifecycle methodologies.
• Expert‑level proficiency with Terraform, CI/CD pipelines, Dev Sec Ops , and security engineering principles.
• Experience leading large cloud engineering teams in Agile environments.
• Google Professional Cloud…