Cloud Architect

We are seeking an experienced Cloud Architect to design, build, and optimize cloud-based solutions for a Payment Gateway Development Project. The ideal candidate will have extensive expertise in AWS architecture, event-driven design, microservices, and API management (Kong). The architect will be responsible for defining scalable, secure, and high-performing architectures across AWS, with additional exposure to Azure and GCP

Key Responsibilities

Cloud Architecture & Design

• Design, implement, and oversee cloud-based solutions for the payment gateway platform.

• Architect highly available, scalable, and secure cloud infrastructures on AWS, leveraging key services like:

  • Networking: VPC, Transit Gateway, Direct Connect, VPN, and Cloud WAN

  • Compute: ECS, EKS, EC2, Lambda

  • Database: RDS (Aurora, MySQL, PostgreSQL), DynamoDB

  • Data & AI Services: Glue, SageMaker, Bedrock

• Define architecture patterns for Event-Driven, Microservices, and Serverless architectures.

Solution Architecture

• Collaborate with development teams to design end-to-end solutions for high-traffic payment gateway systems.

• Integrate Kong API Gateway for traffic management, security, and observability.

• Ensure system reliability, performance optimization, and cost efficiency through architectural best practices.

• Create and maintain architecture diagrams, standards, and documentation.

Cloud Governance & Security

• Define and enforce cloud governance, compliance, and security policies (IAM, KMS, CloudTrail, Config).

• Implement disaster recovery and backup strategies aligned with business continuity plans.

• Ensure PCI DSS and other payment security standards are incorporated into designs.

Cross-Cloud Exposure

• Provide architectural guidance and strategy for multi-cloud or hybrid setups involving Azure and GCP.

• Evaluate cloud services across providers to determine optimal use for specific business requirements.

Development & Integration

• Work closely with Java development teams for application integration and performance tuning.

• Enable DevOps practices with CI/CD pipelines (Jenkins, GitHub Actions, AWS CodePipeline).

• Collaborate with data and analytics teams using AWS Glue, SageMaker, and Bedrock for AI/ML integrations.

Leadership & Collaboration

• Lead technical discussions, mentoring engineers and developers on cloud-native design principles.

• Act as the primary technical advisor for the project’s cloud strategy and execution roadmap.

• Collaborate with cross-functional teams including security, networking, and application teams