Full Stack Engineer

Flexton Inc.; Atlanta (GA); On-site; USD 110,000 - 170,000; Full time

Job summary

Flexton Inc. is seeking a Senior Software Engineer to contribute to full-stack design, development, and delivery within a high-velocity team. The role blends engineering excellence with an AI-first mindset, including rapid prototyping using GenAI platforms to accelerate output.

The candidate will design cloud-native microservices on AWS, build robust REST APIs, and develop cross-platform apps with Flutter/Dart. This position emphasizes AI-assisted coding, code reviews, and mentoring teammates.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on AWS experience across a broad range of services including Lambda, API Gateway, DynamoDB, Kinesis, OpenSearch, S3.
• Experience with CI/CD, infrastructure-as-code, and serverless deployment patterns.
• Demonstrated use of AI/GenAI tools in a professional development setting.

Responsibilities

• Design and deliver cloud-native, microservices-based solutions on AWS.
• Build and maintain scalable REST APIs using Java/Spring Boot, Python, and Node.js.
• Create cross-platform mobile and web apps using Flutter/Dart.
• Prototype using GenAI platforms and apply AI-assisted development tools.
• Mentor mid-level and junior engineers and promote quality practices.

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS (Lambda, API Gateway, DynamoDB)

OpenSearch

Kinesis

S3

CloudWatch

CI/CD

infrastructure-as-code

Serverless

AWS CDK/SAM

GenAI tools

Java/Spring Boot

Python

Node.js

Flutter/Dart

Job description

One of my clients is looking for full stack Developer: W2@Atlanta, GA

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

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:
• API, Auth & CDN: API Gateway, Cognito, CloudFront
• Messaging & Events: SQS, SNS, EventBridge, Kinesis
• Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose
• Observability: CloudWatch, X-Ray
• 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

• 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
• 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
• 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
• 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