Sr Software Engineer Job Powder Springs area,Georgia USA,Software Development

The Senior Software Engineer is a hands-on leader responsible for driving the full-stack design, development, and delivery of software solutions across one or more small, high-velocity engineering teams. This role operates above the Software Engineer level and blends deep engineering excellence with a modern AI-first mindset - including the ability to rapidly prototype with tools like Claude, Amazon Bedrock, and other GenAI platforms to accelerate team output and innovation.

What You'll Do

Technical Leadership

Develop and review architectural and technical design decisions for features, services, or platforms.
Decompose epics and features into technical implementation plans with clear ownership.
Review and approve technical designs, code changes, and pull requests
Identify technical risks, dependencies, and trade-offs; propose mitigation strategies.
Drive root-cause analysis and resolution of complex production issues.

Full-Stack & Cross-Platform Development

Design, develop, test, and deploy full-stack applications across the core stack:
React / Type Script (web), Flutter / Dart (mobile & cross-platform), and Python / Node.js (backend).
Build and maintain scalable REST and GraphQL APIs using AWS API Gateway + Lambda.
Implement CI/CD pipelines, infrastructure-as-code (AWS CDK / SAM), and blue/green deployment strategies
Ensure production readiness through observability, automated testing, and monitoring
AWS Serverless Architecture (Core Competency).
Lead design and delivery of event-driven, serverless-first architectures on AWS. Deep hands-on expertise across:
Compute:
Lambda, Step Functions
Data:
DynamoDB (primary), S3, Aurora Serverless
Messaging & Events: SQS, SNS, Event Bridge
API & Auth: API Gateway, Cognito, App Sync
Observability:
Cloud Watch, X-Ray
Infrastructure as Code: CDK, SAM, Cloud Formation
Also responsible for cloud cost optimization, security posture, performance tuning, and defining serverless design patterns and guardrails for the team.

AI-Assisted Engineering & Rapid Prototyping

Rapidly prototype new product concepts using Claude, Amazon Bedrock, and other LLM/GenAI 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.
Define team-level standards and best practices for AI tool adoption.
Demonstrate ability to ideate prototype validate ship in tight cycles to support fast-moving engineering teams.

Team Leadership

Serve as the technical anchor for a small, high-velocity scrum team - guiding direction, coaching engineers, and driving accountability.
Partner with Product Managers, Architects, and QA to align technical direction with organizational goals.
Mentor mid-level, and junior engineers on design, cloud practices, and AI tool usage.
Promote a culture of quality, continuous improvement, and learning.

Who You Are

6+ years of professional software engineering experience.
Across web (React/Type Script), mobile/cross-platform (Flutter/Dart), and backend (Python or Node.js): True full-stack fluency.
Lambda, DynamoDB, API Gateway, SQS/SNS, Event Bridge: Minimum 2 years of hands-on AWS serverless experience.
Demonstrated experience with using CI/CD, infrastructure-as-code, and serverless deployment patterns.
Proven track record of rapid prototyping with AI/GenAI tools in a professional setting.
Experience leading technical initiatives and mentoring small engineering teams.
Understanding of prompt engineering, context management, and AI tool limitations.
Availability for rotational on-call duties outside of standard business hours may be required.
Bachelor's degree (list any requirements of discipline here) and 4 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16years' experience in a related field.

Preferred Qualifications

Experience with Amazon Bedrock, Claude API, or other LLM integrations.
Familiarity with AWS CDK or SAM for infrastructure provisioning.
Exposure to agentic AI workflows and multi-agent systems.
AWS certification…