Solution Architect

Job Information

• Job Category:
  Solution Architect
• Job Type: Remote
• Job Location:
  
  Arkansas Little Rock
• Compensation:
  Depends on Experience
• W2: W2-Contract Only;
  Kindly note that applications on a C2C basis will not be considered for this role.
• Eligible Visa: GC GC-EAD H4 EAD L2S U.S. Citizen (USC)

This position is open only to candidates authorized to work in the United States under the following categories: U.S. Citizen, Green Card Holder, GC-EAD, H-4 EAD, L-2s, L-2 EAD, or J-2 EAD. Candidates requiring other visa sponsorship are not eligible for this role.

We are looking for an experienced Solution Architect with deep expertise in Google Cloud Platform (GCP) to design and deliver scalable, secure, and high-performance cloud solutions. You will collaborate with business and technical teams to drive architecture decisions, ensure best practices, and implement innovative solutions across enterprise projects.

• Lead design and implementation of GCP-based solutions that meet business and technical requirements.
• Develop architecture blueprints, standards, and best practices for cloud solutions.
• Collaborate with development, operations, and business teams for seamless integration.
• Conduct feasibility studies, risk assessments, and technical reviews.
• Ensure solutions are scalable, reliable, secure, and cost-optimized.
• Mentor technical teams and guide cloud architecture adoption.

• 12+ years of IT experience, with strong solution architecture expertise.
• GCP Certified Professional (certificate must be uploaded).
• Proven experience designing and implementing cloud solutions on GCP.
• Knowledge of cloud architecture patterns, microservices, and containerization.
• Experience with CI/CD pipelines, Dev Ops practices, and infrastructure-as-code.
• Strong communication and stakeholder management skills.

• Multi-cloud experience (AWS, Azure) and hybrid cloud architectures.
• Hands-on with Kubernetes, Docker, and container orchestration.
• Familiarity with data analytics, AI/ML, and serverless architectures.
• Experience in agile environments and leading technical workshops.