Why This Role Stands Out
This hybrid role at Flexton Inc. offers a fantastic opportunity to leverage your full-stack expertise in an AI-first environment, contributing to innovative cloud-native solutions on AWS. You'll thrive here if you're a mid-senior developer eager to expand your skills in microservices architecture and cutting-edge GenAI technologies. Apply today to join a high-velocity engineering team and shape the future of software development.
Quick Overview
Job Description
Greetings from Flexton!
Hope you are doing great today!
One of my clients is looking for Full stack Developer:W2 @Atlanta, GA please share me your updated resume and desire salary for this position.
We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset including the ability to rapidly prototype using GenAI platforms to accelerate team output and
innovation.
WHAT YOU'LL DO
AWS Cloud, Serverless & Microservices Architecture
- 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
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