Sr Software Engineer

Job description

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Sr Software Engineer Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % No Work Shift Day Compensation Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description 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 / 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 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, EventBridge API & Auth: API Gateway, Cognito, AppSync Observability: CloudWatch, X-Ray Infrastructure as Code: CDK, SAM, CloudFormation 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/TypeScript), mobile/cross-platform (Flutter/Dart), and backend (Python or Node.js): True full-stack fluency. Lambda, DynamoDB, API Gateway, SQS/SNS, EventBridge: 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 (Solutions Architect, Developer, or equivalent). Primary Tech Stack Layer Technologies Web Frontend React, TypeScript Mobile / Cross-Platform Flutter, Dart Backend Python, Node.js Database DynamoDB, S3, Aurora Serverless Serverless / Cloud AWS Lambda, Step Functions, API Gateway, SQS, SNS, EventBridge, Cognito, AppSync DevOps / IaC GitHub, AWS CDK / SAM, CloudFormation, CI/CD pipelines Observability CloudWatch, X-Ray AI Tools Claude, Amazon Bedrock, LLM APIs Drug Testing To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annuall