Cloud Architect

Guidehouse

Tysons (VA)

On-site

USD 130,000 - 216,000

Full time

10 days ago

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Benefits offered by this job

Medical, Rx, Dental & Vision Insurance
401(k) Retirement Plan
Tuition Reimbursement
Employee Assistance Program

Job summary

Guidehouse is seeking a Senior Cloud Architect to lead modernization and migration of mission-critical applications from AWS to Google Cloud. You will provide architectural leadership across cloud platforms, data modernization, security, and DevSecOps for a federal system, ensuring secure, reliable cloud operations in line with federal SDLC/SELC standards.

Responsibilities include end-to-end cloud modernization, Terraform/IaC, CI/CD, and governance.

Qualifications

  • Bachelor's or Master’s degree in Computer Science, Information Systems, Electrical Engineering, or related field.

Responsibilities

  • Lead cloud modernization initiatives for a complex federal enterprise system.
  • Architect secure, scalable environments in Google Cloud and drive AWS→GCP migrations.

Skills

Cloud architecture
AWS to Google Cloud migration
Terraform
CI/CD
Kubernetes/GKE
IAM & security engineering
DevSecOps
Leadership
AI/ML integration
SDLC/SELC compliance

Education

Bachelor's or Master's in CS/IS/EE

Tools

GCP (Google Cloud)
Terraform
GitOps
Kubernetes (GKE)
Vertex AI / Gemini / Dialogflow
BigQuery
KMS

Job description

Job Family: IT Architecture/Cloud

Travel Required: Up to 10%

Clearance Required: Ability to Obtain Public Trust

What You Will Do

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.

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