Software Engineer II

Cox Automotive

Atlanta (GA)

Hybrid

USD 89,000 - 134,000

Full time

12 days ago

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Benefits offered by this job

Flexible vacation and paid time off
Seven paid holidays per year
Wellness time off (up to 160 hours)
Bereavement leave
Time off to vote
Jury duty leave
Volunteer time off
Military leave
Parental leave

Job summary

Cox Automotive is seeking a Software Engineer II (C#, .NET) to design, develop, and maintain scalable software. You will work with Product, Architecture, and Engineering teams to deliver high-quality solutions and mentor engineers in a hands-on, production-focused role.

Responsibilities include full-stack development, spec-driven design, AI-assisted workflows, and delivering features end-to-end in a hybrid work setting. Strong C#/.NET and cloud experience required.

Qualifications

  • BS in Computer Science or related field with 4+ years of experience, or MS with 2+ years, or PhD with minimal experience, or 18 years directly relevant experience.
  • Strong proficiency in C# and .NET
  • Experience with cloud platforms (AWS) and distributed systems
  • Solid understanding of system design, APIs, and data models
  • Experience with automated testing and CI/CD practices
  • Hybrid work schedule

Responsibilities

  • Design, develop, test, and deploy software across the full technology stack
  • Translate requirements into technical specifications
  • Ensure systems are scalable, resilient, maintainable, and secure
  • Apply modern engineering standards and best practices
  • Break down specs into actionable tasks and deliver incremental value
  • Own end-to-end delivery of features or services
  • Write and maintain automated tests (unit/integration/E2E)
  • Mentor engineers and contribute to AI-enabled development workflows
  • Drive spec-driven development with clear APIs/contracts
  • Collaborate with Product, QA, and Architecture teams
  • Contribute to coding standards and engineering best practices
  • Mentor junior engineers through code reviews

Skills

C# / .NET
AWS
APIs & Data Models
CI/CD
Hybrid work
Software design

Education

Bachelor’s degree in Computer Science or related field
Master’s degree or PhD or equivalent experience
18 years of directly relevant experience

Tools

AWS

Job description

Job Summary:

The Software Engineer II (C#, .NET) is responsible for designing, developing and maintaining scalable, secure, and high-performing software systems. This role works cross-functionally with Product, Architecture, and Engineering teams to deliver business value through high-quality, reliable software.

This is a hands-on role focused on building production-ready solutions, while contributing to technical direction, mentoring engineers, and leveraging modern tools-including AI and spec-driven development-to improve engineering productivity and outcomes.

Key Responsibilities:
Software Development & Design
  • Design, develop, test, and deploy software across the full technology stack
  • Translate business and functional requirements into clear, well-defined technical specifications
  • Ensure systems are scalable, resilient, maintainable, and secure
  • Apply modern engineering standards and best practices
Delivery & Execution
  • Break down specs and features into clear, actionable, and estimable tasks
  • Deliver incremental value using Agile methodologies
  • Own end-to-end delivery of features or services
  • Align development with architectural standards and system design
Quality & Reliability
  • Write and maintain automated unit, integration, and end-to-end tests
  • Ensure code quality, performance, and adherence to specifications
  • Troubleshoot and resolve production issues
  • Identify risks, dependencies, and deviations early
AI-Transformed Engineering
  • Leverage AI-assisted tools (e.g., Copilot, LLM-based tools) to improve productivity and code quality
  • Use AI for code generation, test creation, debugging, and documentation
  • Validate and refine AI-generated outputs for correctness, security, and maintainability
  • Contribute to team practices around AI usage and prompt engineering
Spec-Driven Development
  • Drive spec-driven development, where features are defined through clear, structured specifications before implementation
  • Create and refine technical specs (APIs, contracts, workflows, data models) that serve as the source of truth for development
  • Use specifications to enable alignment across engineering, product, and QA
  • Leverage specs to support automation, testing, and AI-assisted development workflows
  • Ensure implementations are traceable back to specifications and meet defined acceptance criteria
Collaboration
  • Partner with Product, QA, and Architecture teams to deliver solutions
  • Participate in design discussions and technical decision-making
  • Communicate progress, trade-offs, and blockers clearly
Technical Leadership & Growth
  • Contribute to coding standards and engineering best practices
  • Mentor junior engineers through code reviews and guidance
  • Continuously learn and adopt new technologies, including AI-driven techniques
Spec-Driven AI Requirements
  • Experience working in spec-driven or contract-first development environments
  • Ability to define clear technical specifications (e.g., API contracts, schemas, workflows)
  • Experience using AI-assisted development tools effectively
  • Ability to validate, refine, and safely adopt AI-generated outputs
  • Understanding of responsible AI usage in software development
Required Qualifications
  • Bachelor’s degree Computer Science or a related discipline and 4 years of experience in a related field, OR master’s degree and 2 years of experience, OR Ph.D. and up to 1 year of experience, OR 18 years of directly relevant experience.
  • Strong proficiency in C#,.NET)
  • Experience with cloud platforms (e.g., AWS) and distributed systems
  • Solid understanding of system design, APIs, and data models
  • Experience with automated testing and CI/CD practices
  • Hybrid work schedule
  • Availability for rotational on-call duties outside of standard business hours may be required
Preferred Qualifications
  • Experience building large-scale or mission-critical systems
  • Familiarity with microservices and event-driven architectures
  • Experience integrating AI capabilities into applications (e.g., LLM APIs, search, recommendations)
  • Experience improving engineering workflows through automation or AI
  • Strong debugging and performance tuning skills
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
  • 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
  • Employees are also eligible for additional paid time off in the form of time off to vote
  • Employees are also eligible for additional paid time off in the form of jury duty leave
  • Employees are also eligible for additional paid time off in the form of volunteer time off
  • Employees are also eligible for additional paid time off in the form of military leave
  • Employees are also eligible for additional paid time off in the form of parental leave

USD 89,400.00 – 134,000.00 per year

Compensation:

Compensation includes a base salary in the range of $89,400.00 – $134,000.00. 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.

EOE, including disability/vets

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