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About the Role

Cox Automotive is deploying enterprise AI capabilities on AWS Quick across the enterprise, helping teams work more effectively in their day-to-day operations. The Software Engineer II applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role collaborates closely with teammates to understand business requirements, contribute to architectural discussions, and deliver scalable, resilient, and secure systems. As part of a corporate-wide AI transformation initiative, this role will also incorporate the responsible use of AI-assisted development tools to streamline coding, testing, troubleshooting, and documentation activities across the SDLC. This is early-stage work with executive sponsorship, direct access to AWS technical teams, and the chance to grow your skills rapidly in AI platform engineering.

Responsibilities

Build and maintain connectors that integrate Quick with enterprise systems — wrapping APIs, handling auth, managing errors, and making data available to AI agents.
Ship features on the AI Artifact Hub — bug fixes, performance improvements, and new capabilities that make the product better for internal users.
Write clean, tested Python code for APIs, data pipelines, agent skills, and platform tooling.
Help enforce integration standards and support domain teams as they publish MCP servers to the enterprise connector catalog.
Implement features end-to-end: design, code, test, deploy, and monitor in production.
Work closely with senior engineers to learn architecture patterns, code review practices, and production engineering standards.
Develop expertise in AI platform concepts: RAG, knowledge ingestion, embeddings, agent orchestration, evaluation frameworks, and access control for AI systems.
Grow your AWS skills through hands-on work with Lambda, S3, IAM, API Gateway, Step Functions, and infrastructure as code.
Contribute to access control and data safety — help ensure AI agents respect user permissions and never surface unauthorized data in prompt contexts.
Participate in design discussions — your perspective matters on a small team.
Instrument the systems you build — metrics, logging, alerting, and dashboards so the team knows when something is wrong before users do.
Contribute to evaluation and feedback systems — help build automated test suites that measure agent quality and capture human-in-the-loop corrections.
Write and maintain CI/CD pipelines (GitHub Actions) and infrastructure as code (Terraform) with guidance from senior team members.
Contribute to documentation for systems, runbooks, and onboarding materials.
Participate in on-call rotation with mentorship and support from senior engineers.

Requirements

Bachelor’s degree in Computer Science and 2 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and up to 2 years’ experience; or 14 years’ experience in a related field.
2+ years of professional software development experience building production applications or services.
Proficiency in Python, including writing APIs, scripts, or data processing logic.
Familiarity with AWS cloud services (e.g., Lambda, S3, IAM, API Gateway) or another major cloud provider.
Experience with version control (Git) and collaborative development workflows (pull requests, code review).
Basic understanding of APIs (REST, authentication patterns) and experience integrating with third-party services.
Eagerness to learn new technologies and grow into more complex engineering challenges.
Strong communication skills and a collaborative, team-first mindset.
Applicants must be authorized to work in the United States for any employer without current or future sponsorship.
Ability to work in the office three days per week.
Willingness to participate in an on-call rotation with mentorship from senior engineers.
Exposure to AI/ML-powered tools, AI APIs, prompt engineering, or building AI-enabled features.
Experience with Infrastructure as Code (Terraform) or CI/CD pipelines (GitHub Actions).
Familiarity with the Model Context Protocol (MCP) or building tool/plugin interfaces for AI systems.
Familiarity with data platforms (Snowflake, Databricks, data lakes, or similar).
Exposure to authorization models in multi-user systems (row-level security, role-based access).
Familiarity with cost optimization or FinOps concepts in cloud environments.
Interest in or exposure to knowledge graphs, embeddings, vector databases, or search systems.
Experience with event-driven architectures or serverless computing patterns.
Experience building internal tools, developer platforms, or internal-facing products.
Prior work in automotive, media, or another large enterprise environment is a plus but not required.
Must 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.

Skills

Python
AWS cloud services
Git
REST APIs
AI/ML-powered tools
AI APIs
Prompt engineering
Infrastructure as Code (Terraform)
CI/CD pipelines (GitHub Actions)
Model Context Protocol (MCP)
Data platforms
Authorization models
Cost optimization
FinOps concepts
Knowledge graphs
Embeddings
Vector databases
Search systems
Event-driven architectures
Serverless computing patterns

Location

Work Type

Hybrid
Remote
Onsite

Experience Level

Software Engineer II
Individual Contributor
2+ years of professional software development experience

Education Level

Bachelor’s degree in Computer Science
Master’s degree

Salary/Compensations

$89,400.00 - $134,000.00

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 deploying enterprise AI capabilities on AWS Quick across the enterprise, helping teams work more effectively in their day-to-day operations.
Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells – or simply uses – cars.
Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our 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