GCP Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide hands-on architectural direction embedded within client teams, from the discovery phase through to delivery.

• Design and implement enterprise-level cloud architectures, encompassing application infrastructure, integration strategies, and secure deployment methodologies.

• Advise engineering teams on technical trade-offs, architectural choices, and best practices.

• Create cloud adoption roadmaps, including hybrid and migration strategies where relevant.

• Architect and support highly distributed, scalable systems in cloud environments.

• Serve as a trusted advisor to senior stakeholders, converting complex technical subjects into actionable recommendations.

• Collaborate with cross-functional teams to proactively manage risks, dependencies, timelines, and technical challenges.

• Assist in the design and deployment of AI-driven and data-centric solutions on GCP.

• Work with delivery, engineering, and customer teams to ensure that solutions adhere to security, compliance, and operational standards.

• Contribute to long-term technical strategies and architectural direction that align with business goals.

⛳️ Requirements

• United States citizenship with the ability to work from the United States is required to meet customer and compliance standards.

• Capability to obtain a US Government Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

• Google Cloud Professional Cloud Architect (PCA) certification is mandatory.

• Over 5 years of experience in solution architecture, technical consulting, cloud engineering, or enterprise architecture.

• Strong hands-on experience in software development, including object-oriented programming languages such as Python, Java, or C++.

• Proven experience in designing and delivering enterprise cloud solutions.

• Hands-on experience with Google Cloud Platform (GCP), including services like IAM, Cloud Armor, Security Command Center, and Chronicle.

• In-depth understanding of cloud-native security principles, DevSecOps, and regulatory compliance, including frameworks like GDPR and HIPAA.

• Practical experience with core GCP data services such as BigQuery, Dataflow / Apache Beam, and Pub/Sub.

• Experience in architecting and deploying AI solutions on GCP, including Vertex AI, Gemini models, Cloud Storage, Cloud Run, Cloud Functions, and enterprise-grade agent platforms.

• Experience integrating AI systems with enterprise IT environments, including authenticated APIs, legacy data systems, and secure corporate infrastructure.

• Strong skills in stakeholder management, written communication, and presentation.

• Bachelor's degree or equivalent practical experience.

• Willingness to travel within the US 25–30% as required for client delivery.

🏝️ Benefits

• Flexibility with options for remote and hybrid work (dependent on country).

• Opportunities for career advancement, including international mobility and professional development programs.

• Access to learning and development resources, including cutting-edge tools, training, and industry experts.

• Medical, dental, and vision insurance for you and your family, along with employer contributions to Health Savings Accounts.