Cloud Architect

🕒 August 27

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $130k - $216k / year

⏰ Full Time

🟠 Senior

🔴 Lead

☁️ Cloud Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Lead the end-to-end strategy, design, and implementation of cloud modernization initiatives for a complex federal enterprise system • Architect secure, scalable Google Cloud environments and drive migration from AWS using rehost, re-platform, and refactor patterns • Establish cloud governance, resource hierarchy, network architecture, IAM policies, and resiliency strategies • Support deployment of managed Google Cloud AI products including Vertex AI endpoints, Gemini-based developer tools, and Dialogflow agents • 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, data migration, and modernization of legacy components • Define and implement Terraform-based IaC, GitOps workflows, automated deployments, security gates, and policy-as-code • Mature CI/CD pipelines for release-on-demand, automated testing, and compliance validation • Ensure architecture deliverables, design artifacts, security documentation, readiness reviews, and testing approaches comply with federal SDLC/SELC standards • Partner with program management, engineering teams, and federal stakeholders on lifecycle governance requirements • Implement observability across logging, monitoring, tracing, performance tuning, and resilience testing • Maintain high availability and continuity-of-operations expectations for critical federal systems • Advise senior leadership and technical teams on architectural decisions and modernization direction • Mentor engineering teams across multiple Agile squads and support PI planning, backlog refinement, and architectural reviews • Represent cloud architecture in stakeholder engagements, technical forums, and enterprise planning sessions • Design, implement, and govern AI-enabled cloud solutions • Apply generative AI, machine learning, and LLM technologies to architect scalable, secure, cost-effective enterprise solutions • Develop RAG architectures, vector search solutions, and AI-driven automation workflows integrating enterprise data sources while meeting security, privacy, and regulatory requirements

🎯 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, 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) • 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 • Ability to obtain Public Trust clearance • Travel required: up to 10%

🏖️ Benefits

• 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 • Flexible benefits package