Cloud Solution Architect [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Solution Architect based in the United States.

The Cloud Solution Architect is a senior technical leadership role responsible for designing and advancing secure, scalable, and resilient cloud environments across enterprise platforms. This position plays a key role in shaping multi-cloud strategies, modernizing infrastructure, and enabling innovation through cloud architecture best practices. The successful candidate will work across architecture, security, networking, infrastructure, and product teams to deliver high-impact solutions supporting business and technology transformation. The role offers the opportunity to influence cloud governance, optimize operational excellence, and support emerging technologies including artificial intelligence and machine learning. Working within a global and collaborative environment, this position is ideal for an experienced cloud professional passionate about solving complex challenges and driving technical excellence.

Accountabilities:

The Cloud Solution Architect will lead the design, implementation, and evolution of enterprise cloud platforms while ensuring security, scalability, performance, and cost efficiency. This role requires strong architectural expertise, strategic thinking, and collaboration with technical and business stakeholders.

• Design and implement multi-cloud architectures across AWS and GCP environments, supporting enterprise IT and product development initiatives.
• Define cloud architecture standards, governance models, operational practices, and best practices to improve cloud adoption and reliability.
• Own the architecture of core cloud services, cloud-to-on-premises connectivity, workload migration strategies, disaster recovery solutions, and networking frameworks.
• Develop secure and scalable cloud solutions aligned with business objectives and technology roadmaps.
• Collaborate with security, networking, infrastructure, engineering, and product teams to deliver resilient cloud platforms.
• Support artificial intelligence and machine learning initiatives by designing optimized cloud environments for training, inference, and data platforms.
• Drive cloud cost optimization, identity management, security improvements, and operational efficiency.
• Provide technical mentorship to engineers and architects, helping promote cloud expertise and architectural excellence across the organization.
• Evaluate emerging cloud technologies and recommend solutions that support innovation and long-term scalability.

Requirements:

The ideal candidate is an experienced cloud architect with extensive enterprise IT knowledge, strong hands-on engineering capabilities, and the ability to influence technical decisions across global teams. The role requires deep expertise in cloud platforms, networking, security, and modern infrastructure technologies.

• 10+ years of enterprise IT experience with significant hands-on AWS architecture and engineering expertise.
• Extensive knowledge of AWS Organizations, Landing Zone, Control Tower, Service Catalog, and Service Control Policies.
• Strong experience designing and managing cloud networking solutions, including Transit Gateway, Shared VPCs, hybrid connectivity, and multi-cloud architectures.
• Expertise in AWS security, governance, identity management, and cloud cost optimization practices.
• Experience with Kubernetes and container platforms, including EKS, ECS, and GKE.
• Knowledge of serverless and event-driven architectures using technologies such as API Gateway and Lambda.
• Hands-on experience with GCP, including organization design, IAM, networking, Shared VPCs, and core cloud services.
• Experience supporting AI and machine learning cloud platforms, including technologies such as SageMaker, Bedrock, Vertex AI, or similar solutions.
• AWS Certified Solutions Architect – Professional certification required; GCP Professional Cloud Architect certification is highly desirable.
• Strong communication, stakeholder management, and mentoring skills within globally distributed teams.
• Ability to work remotely while being available for occasional in-person meetings and team events in the Denver, Colorado metro area.

Benefits:

• Competitive base salary range of $120,000 – $150,000 , with expected on-target earnings between $136,000 – $170,000 depending on experience and qualifications.
• Eligibility for bonus, variable compensation, or commission programs where applicable.
• Remote work flexibility with opportunities for collaboration through local team meetings and events.
• Comprehensive benefits package supporting employee health, wellbeing, and work-life balance.
• Flexible work arrangements designed to support autonomy and productivity.
• Opportunities for professional growth, skills development, and continued learning.
• Inclusive workplace culture focused on innovation, collaboration, and diverse perspectives.
• Opportunity to work on large-scale cloud transformation initiatives and emerging technologies.
• Supportive environment that encourages ownership, creativity, and technical excellence.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.