Cloud Architect

Credence Global Solutions; Pune District; On-site; INR 400,000 - 700,000; Full time

Job summary

Credence Global Solutions is seeking a seasoned Cloud Architect to design, implement, and govern secure, HIPAA-compliant cloud and hybrid architectures focused on US healthcare systems.

You will lead multi-cloud strategies across AWS, Azure, and GCP, enable AI-driven analytics, and ensure regulatory compliance while driving scalable, cost-efficient cloud modernization.

Qualifications

• 8+ years in cloud architecture with healthcare domain exposure.
• Proven experience designing HIPAA-compliant, hybrid cloud architectures.
• Cloud certifications preferred (AWS, Azure, Google Cloud).

Responsibilities

• Design and govern HIPAA-compliant cloud and hybrid architectures for healthcare systems.
• Architect multi-cloud platforms across AWS, Azure, and GCP.
• Implement IaC for consistent deployments using Terraform, CloudFormation, ARM/Bicep.
• Enable AI-driven analytics and GenAI workloads with data governance and PHI protection.

Skills

Cloud architecture

HIPAA compliance

AI/ML & GenAI

MLOps

Multi-cloud (AWS/Azure/GCP)

IaC

API design

Big Data analytics

Education

Bachelor's or Master’s in CS/IT

Tools

AWS

Azure

GCP

Terraform

CloudFormation

Databricks

Job description

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.
• 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.
• 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 – Professional
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.