Lead Software Engineer

Cox Enterprises•Atlanta, GA

22d•$122,600 - $204,400•Hybrid

About The Position

The Lead Software Engineer is a hands-on technical 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 Senior 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.

Requirements

Bachelor’s degree and 6 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 18 years 'experience in a related field.
True full-stack fluency across web (React/TypeScript), mobile/cross-platform (Flutter/Dart), and backend (Python or Node.js).
Minimum 2 years of hands-on AWS serverless experience with Lambda, DynamoDB, API Gateway, SQS/SNS, EventBridge.
Demonstrated experience with 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.
Clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position.

Nice To Haves

Deep hands-on expertise across AWS Serverless Architecture: Compute (Lambda, Step Functions), Data (DynamoDB, S3, Aurora Serverless), Messaging & Events (SQS, SNS, EventBridge), API & Auth (API Gateway, Cognito, AppSync), Observability (CloudWatch, X-Ray), Infrastructure as Code (CDK, SAM, CloudFormation).

Responsibilities

Lead 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.
Design, develop, test, and deploy full-stack applications across the core stack: React / TypeScript (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.
Lead design and delivery of event-driven, serverless-first architectures on AWS.
Rapidly prototype new product concepts using Claude, Amazon Bedrock, and other LLM/Gen AI 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.
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 senior, mid-level, and junior engineers on design, cloud practices, and AI tool usage.
Promote a culture of quality, continuous improvement, and learning.