Product Development

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.

Job Roles & Responsibilities

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
- Architect and oversee hybrid and multi-cloud platforms across:
o AWS: EC2, S3, RDS, EKS, VPC
o Azure: Virtual Machines, Blob Storage, Azure SQL, AKS, VNet
o 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:
o AWS: EMR, Redshift, Glue, Athena
o Azure: Synapse Analytics, Data Factory, Databricks
o 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:
o AWS Certified Solutions Architect – Skilled
o Microsoft Certified: Azure Solutions Architect Expert
o 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).
Skillset:
- 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 industriesStrong
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.

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If you are approached by anyone requesting payment or offering you a position at Credence in exchange for money, do not engage with them. Such actions are fraudulent and not authorized by Credence. Please report any such incidents immediately to our official HR team at [email protected]

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Job Category: Product Development

Job Type: Full Time

Job Location: Pune IN

📌 Cloud Architect (India)
🏢 Credence Global Solutions
📍 India