Cloud Architect

Overview

The Cloud Architect will design, implement, and govern secure, compliant, and scalable cloud and hybrid cloud architectures with a primary focus on US Healthcare systems and secondary applicability across Telecom, Finance, and Banking domains. This role will lead the architecture of HIPAA-compliant healthcare platforms, integrating Big Data, AI/ML, GenAI, RPA, and API-driven automation across AWS, Azure, and Google Cloud Platform (GCP). The Cloud Architect will ensure data privacy, regulatory compliance, and high availability while enabling innovation through intelligent, AI-driven cloud solutions.

AWS Infrastructure Management Automation

Design and govern HIPAA-compliant cloud and hybrid architectures for healthcare systems including EHR/EMR, claims processing, clinical analytics, and patient engagement platforms.
Define enterprise cloud reference architectures, landing zones, and governance models tailored for US healthcare regulations (HIPAA, HITECH, CMS).
Architect hybrid cloud solutions to support on-prem clinical systems integrated with public cloud services.
Hybrid Multi-Cloud Infrastructure Architecture: AWS: EC2, S3, RDS, EKS, VPC; Azure: Virtual Machines, Blob Storage, Azure SQL, AKS, VNet; GCP: Compute Engine, Cloud Storage, Cloud SQL, GKE, VPC.
Design secure connectivity between on-prem data centers and cloud platforms using VPNs, Direct Connect, ExpressRoute, and Interconnect.
Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, ARM/Bicep for consistent deployments.

Big Data Healthcare Analytics

Architect healthcare data platforms using cloud-native analytics and Big Data services: AWS: EMR, Redshift, Glue, Athena; Azure: Synapse Analytics, Data Factory, Databricks; GCP: BigQuery, Dataflow, Dataproc.
Enable ingestion and processing of structured and unstructured healthcare data (HL7, FHIR, claims, imaging metadata).
Integrate AI-driven analytics to support population health, clinical insights, and operational optimization.

AI, ML GenAI Enablement

Design architectures supporting ML/DL and GenAI workloads for healthcare use cases such as predictive risk modeling, fraud detection, and operational forecasting.
Integrate GenAI platforms (AWS Bedrock, Azure OpenAI, Vertex AI) with strict data governance and PHI protection.
Enable MLOps pipelines that meet healthcare auditability and traceability requirements.

API Integration Architecture

Design secure API frameworks for healthcare interoperability (FHIR, REST, event-driven architectures).
Enable integration between cloud platforms, healthcare applications, and third-party vendors.
Support hybrid integration patterns applicable to Telecom, Finance, and Banking systems requiring low latency and high throughput.

Security, Compliance Risk Management

Architect Zero Trust security models with encryption, IAM, key management, and network segmentation.
Automate compliance monitoring, risk detection, and remediation using AI-driven security analytics and RPA. Ensure compliance with HIPAA, HITRUST, SOC 2, PCI-DSS, SOX, GDPR, supporting cross-industry requirements.

Cost Optimization Cloud Economics (FinOps)

Design cost-efficient architectures while meeting healthcare uptime and compliance requirements.
Implement FinOps practices for hybrid and multi-cloud environments, including chargeback and usage forecasting.
Enable automated cost and utilization reporting using AI-driven insights and RPA workflows.

Experience

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

8+ years of experience in cloud architecture, with strong exposure to US Healthcare systems.

Proven experience designing HIPAA-compliant and hybrid cloud architectures.

Cloud certifications preferred:

AWS Certified Solutions Architect Professional
Microsoft Certified: Azure Solutions Architect Expert
Google Professional Cloud Architect

Experience supporting Telecom, Finance, or Banking cloud initiatives is a strong plus.

Technical Expertise

Deep expertise across AWS, Azure, and GCP with hybrid cloud integration.
Strong knowledge of healthcare data standards (FHIR, HL7) and PHI security controls.
Hands-on experience with Big Data platforms, Databricks, and cloud-native analytics services.
Experience with AI/ML, GenAI platforms, and secure MLOps pipelines.
Proficiency in IaC, CI/CD, and DevSecOps practices.
Strong experience with API design, integration, and workflow automation (RPA).
Strong domain understanding of US Healthcare regulations and compliance.
Ability to design secure, resilient hybrid cloud solutions for regulated industries.
Excellent communication skills for collaborating with clinicians, compliance teams, and executives.
Strong problem-solving skills with an automation- and AI-first mindset.
Ability to lead enterprise cloud modernization initiatives across multiple industries. Strong troubleshooting and problem-solving skills, with the ability to integrate AI/ML models into cloud operations.
Excellent communication skills, especially in explaining complex cloud architectures and AI solutions to non-technical teams.
Familiarity with cloud cost optimization and Big Data platforms for scalable infrastructure management.
Ability to design and implement secure, AI-driven cloud infrastructures using RPA and API integrations.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.