Cynet systems Inc
Job Description
Pay Range: $65hr - $70hr
The Cloud Enterprise Architect will lead the modernization of legacy AS/400 systems to cloud-native solutions, driving enterprise-wide transformation with scalable architecture, advanced data analytics, and AI/ML integration.
This role combines deep technical expertise, strategic thinking, and leadership to deliver innovative and secure cloud solutions aligned with business goals.
Responsibilities
Architect and lead the re-platforming of legacy AS/400 applications to cloud-native solutions on GCP or Azure.
Redesign enterprise applications for scalability, performance, and modern user experience.
Define and implement integration strategies across internal systems, third-party platforms, and cloud services.
Lead AI/ML-based development initiatives for intelligent automation and predictive analytics.
Design and oversee data warehouse and data analytics solutions to support high-volume OLTP systems.
Drive backend architecture using microservices, RESTful APIs, and event-driven systems.
Guide frontend modernization using React.js, Next.js, and TypeScript to ensure responsive and accessible UI/UX.
Oversee DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and container orchestration.
Collaborate with cross-functional teams to ensure seamless cloud migration with minimal disruption.
Establish and communicate a clear technical enterprise vision aligned with business goals.
Lead proof-of-concept (POC) efforts to validate new technologies and methodologies.
Ensure security, compliance, and performance across all layers of architecture.
Mentor engineering teams across onsite and offshore locations to promote best practices and technical excellence.
Engage with stakeholders to translate business requirements into scalable solutions.
Participate in Agile delivery processes, sprint planning, and architecture reviews.
Required Skills And Qualifications
10+ years of experience in enterprise architecture, solution design, and cloud transformation.
Proven experience migrating from AS/400 or other legacy systems to GCP or Azure.
Deep understanding of microservices, event-driven architecture, and API-first design.
Strong background in AI/ML platforms, data engineering, and model lifecycle management.
Expertise in data warehousing, ETL pipelines, and real-time analytics.
Experience designing high-throughput OLTP systems for performance and reliability.
Hands‑on experience with CI/CD, DevOps, and Infrastructure as Code (IaC).
Proficiency in backend technologies such as Java, Spring Boot, Node.js, and Python.
Strong frontend development skills using React.js, Next.js, TypeScript, HTML, and CSS.
Familiarity with Docker, Kubernetes, and cloud‑native deployment strategies.
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 And Technologies
Cloud Platforms: GCP (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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The Cloud Enterprise Architect will lead the modernization of legacy AS/400 systems to cloud-native solutions, driving enterprise-wide transformation with scalable architecture, advanced data analytics, and AI/ML integration.
This role combines deep technical expertise, strategic thinking, and leadership to deliver innovative and secure cloud solutions aligned with business goals.
Responsibilities
Architect and lead the re-platforming of legacy AS/400 applications to cloud-native solutions on GCP or Azure.
Redesign enterprise applications for scalability, performance, and modern user experience.
Define and implement integration strategies across internal systems, third-party platforms, and cloud services.
Lead AI/ML-based development initiatives for intelligent automation and predictive analytics.
Design and oversee data warehouse and data analytics solutions to support high-volume OLTP systems.
Drive backend architecture using microservices, RESTful APIs, and event-driven systems.
Guide frontend modernization using React.js, Next.js, and TypeScript to ensure responsive and accessible UI/UX.
Oversee DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and container orchestration.
Collaborate with cross-functional teams to ensure seamless cloud migration with minimal disruption.
Establish and communicate a clear technical enterprise vision aligned with business goals.
Lead proof-of-concept (POC) efforts to validate new technologies and methodologies.
Ensure security, compliance, and performance across all layers of architecture.
Mentor engineering teams across onsite and offshore locations to promote best practices and technical excellence.
Engage with stakeholders to translate business requirements into scalable solutions.
Participate in Agile delivery processes, sprint planning, and architecture reviews.
Required Skills And Qualifications
10+ years of experience in enterprise architecture, solution design, and cloud transformation.
Proven experience migrating from AS/400 or other legacy systems to GCP or Azure.
Deep understanding of microservices, event-driven architecture, and API-first design.
Strong background in AI/ML platforms, data engineering, and model lifecycle management.
Expertise in data warehousing, ETL pipelines, and real-time analytics.
Experience designing high-throughput OLTP systems for performance and reliability.
Hands‑on experience with CI/CD, DevOps, and Infrastructure as Code (IaC).
Proficiency in backend technologies such as Java, Spring Boot, Node.js, and Python.
Strong frontend development skills using React.js, Next.js, TypeScript, HTML, and CSS.
Familiarity with Docker, Kubernetes, and cloud‑native deployment strategies.
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 And Technologies
Cloud Platforms: GCP (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.
#J-18808-Ljbffr