Senior Cloud Architect

Job Summary

We are seeking an experienced Senior Cloud Architect with 12+ years of IT experience to design, implement, and manage enterprise-scale cloud solutions. The ideal candidate will possess deep expertise in cloud architecture, infrastructure modernization, security, networking, automation, and DevOps practices across AWS, Azure, or Google Cloud Platform (Google Cloud Platform). This role requires strong leadership, architectural decision-making, and the ability to drive cloud transformation initiatives.

Key Responsibilities

• Design and implement scalable, secure, and highly available cloud architectures.
• Lead cloud migration and modernization initiatives for enterprise applications.
• Develop cloud-native solutions using microservices, containers, and serverless technologies.
• Define cloud governance, security, compliance, and best practices.
• Design multi-region, high-availability, and disaster recovery solutions.
• Collaborate with application development, infrastructure, security, and DevOps teams.
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or ARM/Bicep templates.
• Design CI/CD pipelines and automate cloud deployments.
• Optimize cloud infrastructure for performance, scalability, and cost efficiency.
• Implement cloud monitoring, logging, and alerting solutions.
• Conduct architecture reviews, technical assessments, and code reviews.
• Mentor engineers and provide technical leadership across cloud initiatives.
• Troubleshoot complex cloud infrastructure and production issues.
• Ensure compliance with enterprise security standards and regulatory requirements.

Required Skills

• 12+ years of overall IT experience.
• 7+ years of hands-on cloud architecture experience.
• Strong expertise in at least one cloud platform:
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (Google Cloud Platform)
• Experience designing enterprise cloud solutions.
• Strong knowledge of:
  • Virtual Networks (VPC/VNet)
  • Load Balancers
  • DNS
  • VPN
  • Firewalls
  • Identity & Access Management (IAM)
• Experience with:
  • Docker
  • Kubernetes
  • OpenShift (Preferred)
• Strong DevOps knowledge:
  • Jenkins
  • GitHub Actions
  • Azure DevOps
  • GitLab CI/CD
• Infrastructure as Code:
  • Terraform
  • AWS CloudFormation
  • Azure ARM/Bicep
• Experience with serverless technologies:
  • AWS Lambda
  • Azure Functions
  • Google Cloud Functions
• Hands-on experience with monitoring tools:
  • CloudWatch
  • Azure Monitor
  • Prometheus
  • Grafana
  • Splunk
• Experience with databases:
  • SQL Server
  • PostgreSQL
  • Oracle
  • MySQL
  • MongoDB
• Strong scripting skills:
  • Python
  • PowerShell
  • Bash
• Experience with REST APIs and cloud integrations.
• Strong understanding of Zero Trust Architecture, cloud security, encryption, and identity management.

Preferred Qualifications

• Experience with cloud migration strategies and hybrid cloud environments.
• Knowledge of AI/ML cloud services and data platforms.
• Experience with FinOps and cloud cost optimization.
• Exposure to enterprise integration platforms and API gateways.
• Experience in banking, healthcare, insurance, or financial services domains.

Certifications (Preferred)

• AWS Certified Solutions Architect – Professional
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
• Google Professional Cloud Architect
• Terraform Associate Certification
• Kubernetes (CKA/CKAD)

Required Soft Skills

• Strong leadership and stakeholder management skills.
• Excellent communication and presentation abilities.
• Proven experience leading architecture discussions and technical design sessions.
• Strong analytical and problem-solving skills.
• Ability to mentor teams and drive cloud adoption across the organization.

Technical Environment

• Cloud: AWS, Azure, Google Cloud Platform
• Containers: Docker, Kubernetes, OpenShift
• IaC: Terraform, CloudFormation, ARM/Bicep
• DevOps: Jenkins, Azure DevOps, GitHub Actions, GitLab CI/CD
• Languages: Python, PowerShell, Bash
• Monitoring: CloudWatch, Azure Monitor, Grafana, Prometheus, Splunk
• Databases: SQL Server, PostgreSQL, Oracle, MongoDB
• Methodology: Agile/Scrum