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About the Role

The Software Engineer II (C#, .NET) designs, develops, and maintains scalable, secure, and high-performing software systems. This role collaborates with Product, Architecture, and Engineering teams to deliver business value through high-quality, reliable software. It is a hands-on role focused on building production-ready solutions, contributing to technical direction, mentoring engineers, and leveraging modern tools like AI and spec-driven development to enhance engineering productivity.

Responsibilities

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.
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.
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.
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.
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.
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.
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.

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.
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.
Availability for rotational on-call duties outside of standard business hours may be required.
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.
Clear a pre-employment drug test.

Skills

C#
.NET
Cloud platforms (e.g., AWS)
Distributed systems
System design
APIs
Data models
Automated testing
CI/CD practices
AI-assisted development tools
Prompt engineering
Microservices
Event-driven architectures
LLM APIs
Search
Recommendations
Debugging
Performance tuning

Location

Work Type

Hybrid
Remote
Day Shift

Experience Level

Software Engineer II
4+ years of experience in a related field (with Bachelor's)
2+ years of experience (with Master's)
Up to 1 year of experience (with Ph.D.)
18+ years of directly relevant experience

Education Level

Bachelor’s degree Computer Science or a related discipline
Master’s degree
Ph.D.

Salary/Compensations

$89,400.00 - $134,000.00
Position may be eligible for additional compensation that may include an incentive program.

Benefits

Flexible vacation with pay.
Seven paid holidays.
Up to 160 hours of paid wellness annually.
Bereavement leave.
Time off to vote.
Jury duty leave.
Volunteer time off.
Military leave.
Parental leave.
Health care insurance (medical, dental, vision).
Retirement planning (401(k)).
Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

About the Company

Cox Automotive is transforming the way the world buys, owns, sells – or simply uses – cars through groundbreaking technology and a commitment to stellar experiences for drivers and dealers.
Employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim.
Enjoy a people-centered atmosphere that is central to life at Cox.

Equal Opportunity

Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.
EOE, including disability/vets