Software Engineer

Cox Automotive
Norcross, GA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$135,000.0 - $175,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Software Quality Code Review Performance Tuning SQL Databases Systems Architecture Backend
+5 more
Containerization Kubernetes Restful APIs Docker Microservices

Job description

Cox Automotive is seeking a Senior Software Engineer to design and build scalable, cloud-based platforms powering leading automotive and media brands. You’ll develop high-quality, testable code and APIs in an agile environment, collaborating with product, data, and DevOps teams to deliver resilient, high-availability services for dealers and consumers. Responsibilities include architecture input, code reviews, performance optimization, and mentoring engineers. You’ll champion engineering best practices, security, and observability while helping modernize legacy systems. Join a people-first, inclusive culture with strong benefits and growth opportunities., * Design, develop, and maintain scalable, cloud-based backend services and APIs

  • Contribute to system architecture and technical design decisions
  • Implement automated testing, code quality, and observability best practices
  • Collaborate with product, data, and Dev
  • Ops teams in an agile environment
  • Optimize performance, reliability, and security of production systems
  • Perform code reviews and provide technical mentorship to engineers
  • Help modernize legacy systems to modern cloud-native architectures
  • Participate in on-call or production support rotations as needed

Requirements

  • Java or C
  • Script/Type
  • Script
  • Cloud platforms (AWS/Azure/GCP)
  • Microservices architecture
  • RESTful APIs
  • Relational and No
  • SQL databases
  • CI/CD pipelines
  • Automated testing (unit/integration)
  • Containerization (Docker/Kubernetes)
  • System design and scalability

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