Sr Software Engineer

Company:
Cox Automotive - USA

Compensation includes a base salary in the range of $ - $. 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.

Flexible Work Option:
Hybrid – Ability to work remotely part of the week. Travel % – No Work Shift Day.

• 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.
• Leverage a broad and growing set of services including Compute (Lambda, Step Functions, API), Auth & CDN (API Gateway, Cognito, Cloud Front), Messaging & Events (SQS, SNS, Event Bridge, Kinesis), Data (Dynamo
  
  DB, S3, Aurora Serverless, Open Search, Kinesis Firehose), Configuration (SSM Parameter Store), Observability (Cloud Watch, X‑Ray), IaC (CDK, SAM, Cloud Formation), 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.

• 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.

• 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.

• 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.

• 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 16 years’ 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, Dynamo
  
  DB, Kinesis, Open Search, S3, Firehose, Event Bridge, 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…