Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
100% Travel
Able to Provide Sponsorship
Skills
AI/ML
GCP
Solution Architect
Job Details
Job Title: Technical Solution Architect
Location: Issaquah, WA
Duration: 12+ Months
Mandatory Areas
Must Have Skills – Technical Solution Architect
Skill 1 – 8 + Years of exp in Java applications to cloud-native
Skill 2 – 3 + Years of Exp in AI/ML
Skill 3- 4+ Years In Google Cloud Platform
Must Have Skills – Technical Solution Architect
Skill 1 – 8 + Years of exp in Java applications to cloud-native
Skill 2 – 3 + Years of Exp in AI/ML
Skill 3- 4+ Years In Google Cloud Platform
Job Description:
• Lead the modernization of a large-scale retail enterprise, transitioning from legacy AS/400 systems to cloud-native platforms on Google Cloud Platform (Google Cloud Platform) or Microsoft Azure.
• This role requires deep expertise in application re-platforming, enterprise integrations, AI/ML-driven architecture, and data analytics, along with hands-on leadership across backend, frontend, and DevOps domains.
• You will define the technical roadmap, lead POCs, and shape the future of enterprise systems in a multi-cloud and hybrid environment.
Key Responsibilities:
• Architect and lead the re-platforming of legacy applications to cloud-native solutions on Google Cloud Platform or Azure. Reimagine and redesign enterprise applications for scalability, performance, and modern user experiences.
• Define and implement integration strategies across internal systems, third-party platforms, and cloud services.
• Lead AI/ML-based development initiatives, enabling intelligent automation and predictive analytics.
• Design and oversee data warehouse and data analytics solutions to support high-volume OLTP systems and varied user interactions.
• Drive backend architecture using microservices, RESTful APIs, and event-driven systems.
• Guide frontend modernization using frameworks like React.js, Next.js, and TypeScript, ensuring responsive and accessible UI/UX.
• Oversee DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), container orchestration, and cloud-native deployment.
• Collaborate with cross-functional teams to ensure seamless on-prem to cloud migration with minimal disruption.
• Establish and communicate a clear technical enterprise vision, aligning architecture with business goals.
• Lead proof-of-concept (POC) efforts to validate new technologies and approaches. Ensure security, compliance, and performance across all layers of the architecture. Mentor engineering teams across onsite and offshore locations, promoting best practices and technical excellence.
• Engage with stakeholders and clients to translate business requirements into scalable technical solutions.
• Participate in Agile delivery and contribute to sprint planning, architecture reviews, and retrospectives.
• Required Skills & Qualifications:
• 10+ years of experience in enterprise architecture, solution design, and cloud transformation.
• Proven experience migrating from AS/400 or other legacy systems to Google Cloud Platform or Azure. Deep understanding of microservices, event-driven architecture, and API-first design. Strong background in AI/ML platforms, model lifecycle management, and data engineering.
• Expertise in data warehousing, ETL pipelines, and real-time analytics.
• Experience with high-throughput OLTP systems and designing for performance and reliability.
• Hands-on experience with CI/CD, DevOps, and Infrastructure as Code (IaC).
• Solid experience with backend technologies (Java, Spring Boot, Node.js, Python).
• Strong proficiency in frontend frameworks (React.js, Next.js, TypeScript, HTML/CSS). Familiarity with containerization (Docker, Kubernetes) and cloud-native deployment. Experience with security frameworks, IAM, and compliance standards.
• Excellent communication and stakeholder management skills in client-facing roles. Experience working in Agile/Scrum environments and leading onsite-offshore teams.
Preferred Tools & Technologies: Cloud Platforms: Google Cloud Platform (BigQuery, Cloud Functions, Pub/Sub), Azure (Synapse, Logic Apps, AKS) Backend: Java, Spring Boot, Node.js, Python Frontend: React.js, Next.js, TypeScript, HTML5, CSS3, Tailwind AI/ML: Vertex AI, Azure ML, TensorFlow, PyTorch Data & Analytics: BigQuery, Azure Synapse, Snowflake, Kafka DevOps & IaC: Terraform, GitHub Actions, Jenkins, Helm, Docker, Kubernetes Monitoring & Security: Stackdriver, Azure Monitor, ELK, IAM, OAuth2 Collaboration: Jira, Confluence, Slack, Microsoft Teams
• Lead the modernization of a large-scale retail enterprise, transitioning from legacy AS/400 systems to cloud-native platforms on Google Cloud Platform (Google Cloud Platform) or Microsoft Azure.
• This role requires deep expertise in application re-platforming, enterprise integrations, AI/ML-driven architecture, and data analytics, along with hands-on leadership across backend, frontend, and DevOps domains.
• You will define the technical roadmap, lead POCs, and shape the future of enterprise systems in a multi-cloud and hybrid environment.
Key Responsibilities:
• Architect and lead the re-platforming of legacy applications to cloud-native solutions on Google Cloud Platform or Azure. Reimagine and redesign enterprise applications for scalability, performance, and modern user experiences.
• Define and implement integration strategies across internal systems, third-party platforms, and cloud services.
• Lead AI/ML-based development initiatives, enabling intelligent automation and predictive analytics.
• Design and oversee data warehouse and data analytics solutions to support high-volume OLTP systems and varied user interactions.
• Drive backend architecture using microservices, RESTful APIs, and event-driven systems.
• Guide frontend modernization using frameworks like React.js, Next.js, and TypeScript, ensuring responsive and accessible UI/UX.
• Oversee DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), container orchestration, and cloud-native deployment.
• Collaborate with cross-functional teams to ensure seamless on-prem to cloud migration with minimal disruption.
• Establish and communicate a clear technical enterprise vision, aligning architecture with business goals.
• Lead proof-of-concept (POC) efforts to validate new technologies and approaches. Ensure security, compliance, and performance across all layers of the architecture. Mentor engineering teams across onsite and offshore locations, promoting best practices and technical excellence.
• Engage with stakeholders and clients to translate business requirements into scalable technical solutions.
• Participate in Agile delivery and contribute to sprint planning, architecture reviews, and retrospectives.
• Required Skills & Qualifications:
• 10+ years of experience in enterprise architecture, solution design, and cloud transformation.
• Proven experience migrating from AS/400 or other legacy systems to Google Cloud Platform or Azure. Deep understanding of microservices, event-driven architecture, and API-first design. Strong background in AI/ML platforms, model lifecycle management, and data engineering.
• Expertise in data warehousing, ETL pipelines, and real-time analytics.
• Experience with high-throughput OLTP systems and designing for performance and reliability.
• Hands-on experience with CI/CD, DevOps, and Infrastructure as Code (IaC).
• Solid experience with backend technologies (Java, Spring Boot, Node.js, Python).
• Strong proficiency in frontend frameworks (React.js, Next.js, TypeScript, HTML/CSS). Familiarity with containerization (Docker, Kubernetes) and cloud-native deployment. Experience with security frameworks, IAM, and compliance standards.
• Excellent communication and stakeholder management skills in client-facing roles. Experience working in Agile/Scrum environments and leading onsite-offshore teams.
Preferred Tools & Technologies: Cloud Platforms: Google Cloud Platform (BigQuery, Cloud Functions, Pub/Sub), Azure (Synapse, Logic Apps, AKS) Backend: Java, Spring Boot, Node.js, Python Frontend: React.js, Next.js, TypeScript, HTML5, CSS3, Tailwind AI/ML: Vertex AI, Azure ML, TensorFlow, PyTorch Data & Analytics: BigQuery, Azure Synapse, Snowflake, Kafka DevOps & IaC: Terraform, GitHub Actions, Jenkins, Helm, Docker, Kubernetes Monitoring & Security: Stackdriver, Azure Monitor, ELK, IAM, OAuth2 Collaboration: Jira, Confluence, Slack, Microsoft Teams
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