Role Overview
The Cloud Architect will be responsible for designing, implementing, and optimizing scalable, secure, and resilient cloud architectures to support modern digital and analytics platforms. The role requires hands-on expertise in
AWS (certification mandatory) and experience in building
microservices,
DevOps, and
data pipelines for enterprise-grade financial systems.
Key Responsibilities
- Design and maintain a secure, scalable AWS cloud architecture supporting application, data, and AI workloads.
- Define the landing zone, network topology, and account structure aligned with best practices and regulatory compliance.
- Architect and oversee microservices deployment, container orchestration (EKS/Fargate), and API management.
- Collaborate with Developers, DevOps, and Security teams to ensure smooth CI/CD, IAM, and monitoring integration.
- Implement cost optimization, autoscaling, disaster recovery, and high availability strategies.
- Establish infrastructure-as-code (IaC) standards using Terraform or CloudFormation.
- Ensure data security, encryption, and compliance with financial regulations (RBI, PCI-DSS, GDPR).
- Provide technical guidance on multi-account, hybrid-cloud, and integration with on-prem systems.
- Continuously evaluate and recommend emerging AWS services for analytics, AI/ML, and data integration.
Technical Skills
- Mandatory: AWS Certified Solutions Architect (Associate/Professional).
- Deep understanding of VPC design, IAM, EKS/ECS, Lambda, S3, CloudFront, RDS/Redshift, and API Gateway.
- Proficiency with Terraform, CloudFormation, and CI/CD tools (GitHub Actions, Jenkins, CodePipeline).
- Experience integrating monitoring and observability tools (CloudWatch, Dynatrace, ELK).
- Knowledge of KMS, Secrets Manager, GuardDuty, and WAF for security hardening.
- Familiarity with Python or Bash scripting for automation.
Experience
- 1015 years of total IT experience, with at least 5 years in cloud architecture and deployment on AWS.
- Proven experience designing secure, multi-tier architectures for fintech, banking, or trading platforms.
- Experience in hybrid integrations, data lakes, and real-time streaming (Kafka/Kinesis) preferred.
