Job Title: Sr. Software Engineer
Job Location: Atlanta, GA (Hybrid)
Project Duration: 6 months with possible Contract to HIRE
Job Summary
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
PRIMARY TECH STACKLayerTechnologiesWeb FrontendReact JavaScriptMobile / Cross-PlatformFlutter DartBackendPython Node.Js Java Spring BootDatabaseDynamoDB S3 Aurora ServerlessServerless / CloudLambda API Gateway Kinesis EventBridge and moreDevOps / IaCGitHub AWS CDK / SAM CloudFormation CI/CD PipelinesObservabilityCloudWatch X-RayAI ToolsGenAI / LLM Platforms (various)
Requirements:
Target Years of Exp: 8 years
Top 5 Must Haves: AWS, Adaptability/Problem Solving Skills, AI experience (preferably well versed in multiple tools although we use Claude Code)