Description

• Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack — frontend, backend, and cloud infrastructure — to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to:
• Compute: Lambda, Step Functions
• API, Auth & CDN: API Gateway, Cognito, CloudFront
• Messaging & Events: SQS, SNS, EventBridge, Kinesis
• Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose
• Configuration: SSM Parameter Store
• Observability: CloudWatch, X-Ray
• IaC: CDK, SAM, CloudFormation
• And more across the broader AWS ecosystem
• Build and maintain scalable REST APIs using API Gateway and Lambda
• Support cloud cost optimization, security posture, and performance tuning efforts
• Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies
• Ensure production readiness through observability, automated testing, and monitoring

Full-Stack, Microservices & Cross-Platform Development

• Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend)
• Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices
• Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles
• Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web
• Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack

AI-Assisted Engineering & Rapid Prototyping

• Rapidly prototype new product concepts using GenAI and LLM platforms
• Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review
• Evaluate AI-generated outputs for correctness, security, and production readiness
• Follow team-level standards and best practices for AI tool adoption
• Contribute to ideate ? prototype ? validate ? ship cycles within fast-moving engineering teams

Collaboration & Mentorship

• Participate in code reviews and contribute to engineering best practices
• Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage
• Promote a culture of quality, continuous improvement, and learning

QUALIFICATIONS

• 5+ years of professional software engineering experience; Bachelor's degree in Computer Science or Engineering, or 7+ years of equivalent experience
• Strong full-stack proficiency across mobile/cross-platform (Flutter/Dart), web (React/JavaScript), and backend (Python, Node.js, Java/Spring Boot)
• Hands-on AWS experience across a broad range of services including but not limited to Lambda, API Gateway, DynamoDB, Kinesis, OpenSearch, S3, Firehose, EventBridge, and SSM
• Experience with CI/CD, infrastructure-as-code, and serverless deployment patterns
• Demonstrated use of AI/GenAI tools in a professional development setting; understanding of prompt engineering, context management, and AI tool limitations
• Familiarity with AWS CDK or SAM for infrastructure provisioning is a plus
• Exposure to agentic AI workflows and multi-agent systems is a plus
• AWS certification (Solutions Architect, Developer, or equivalent) is a plus

Key Skills

Education

Any Gradute