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
Who You Are:
- Bachelor’s degree in Computer Science, or related discipline, 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.
- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
- 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 STACK:
Layer Technologies
Web Frontend React JavaScript
Mobile / Cross-Platform Flutter Dart
Backend Python Node.js Java Spring Boot
Database DynamoDB S3 Aurora Serverless
Serverless / Cloud Lambda API Gateway Kinesis EventBridge and more
DevOps / IaC GitHub AWS CDK / SAM CloudFormation CI/CD Pipelines
Observability CloudWatch X-Ray
AI Tools GenAI / LLM Platforms (various)
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.
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.
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 annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
