AWS Applications Architect

Responsibilities

• Arcitect and deliver REST-based microservices using containerized workloads on Amazon EKS, with the ability to select appropriate AWS compute services for each use case.
• Develop backend NodeJS REST APIs using Fastify/NextJS frameworks with strong focus on performance, reliability, and security.
• Build and maintain Kubernetes deployments, services, ingress rules, autoscaling, and workload security configurations.
• Design secure API exposure using API Gateway, Application Load Balancer, and related AWS-native integration services.
• Implement secure access to AWS services through IAM roles, IRSA, VPC endpoints, and private networking patterns.
• Troubleshoot issues across application, container, Kubernetes, networking, and AWS infrastructure layers.
• Develop and maintain architectural blueprints, roadmaps, and documentation for AWS-based microservices and applications.
• Provide hands-on technical leadership by coaching and mentoring development teams on cloud-native design and best practices.
• Collaborate with cross-functional teams to advance cloud-native engineering and CI/CD adoption.
• Stay up to date with AWS advancements, especially in EKS, identity, networking, and container ecosystem enhancements.

Qualifications

• 10+ years in application development or cloud architecture with strong focus on cloud-native microservices.
• Extensive hands-on experience with Amazon ECS, EKS and Kubernetes (deployments, services, ingress, autoscaling, RBAC, networking).
• Must have strong expertise in NodeJS for building RESTful services using NestJS framework.
• Experience using databases and caching services such as Amazon RDS/Aurora/DynamoDB and ElastiCache.
• Solid background in Docker containerization and runtime optimization.
• Strong understanding of AWS compute, networking, storage, and integration services relevant to microservices.
• Experience implementing secure authentication and authorization using Cognito, JWTs, IAM, or similar frameworks.
• Proficiency in AI-native development environments and integrated coding assistants, specifically Kiro, Cursor, and VSCode.
• Proven troubleshooting skills across application, Kubernetes, and cloud infrastructure layers.
• Strong communication skills with the ability to guide and influence engineering teams.