Be an Early Applicant
Building a better future for this generation and the next.
The Role
Build and maintain enterprise AI connectors, APIs, data pipelines, agent skills, and platform tooling using Python and AWS. Develop features end to end, implement secure access controls, integrate third-party services, and support AI evaluation systems. Maintain CI/CD pipelines and Terraform infrastructure, monitor production systems, document solutions, and participate in on-call support. Collaborate with senior engineers while developing expertise in RAG, embeddings, agent orchestration, MCP, and responsible AI platform engineering.
Summary Generated by Built In
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.
What You'll Do
Build & Ship
Learn & Grow
Operate & Support
Who You Are
Preferred Qualifications
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.
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; and 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, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
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.
What You'll Do
Build & Ship
- 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.
Learn & Grow
- 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.
Operate & Support
- 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.
Who You Are
- 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.
Preferred Qualifications
- 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.
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.
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; and 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, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
Skills Required
- Bachelor's degree in Computer Science and 2 years of experience in a related field, or an alternative combination such as a master's degree with up to 2 years of experience or 14 years of related experience
- 2 or more years of professional software development experience building production applications or services
- Proficiency in Python, including APIs, scripts, or data processing logic
- Familiarity with AWS cloud services or another major cloud provider
- Experience with Git version control and collaborative workflows including pull requests and code review
- Basic understanding of REST APIs, authentication patterns, and third-party service integration
- Strong communication skills and a collaborative, team-first mindset
- Authorization 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
- Exposure to AI or machine learning tools, AI APIs, prompt engineering, or AI-enabled features
- Experience with Terraform or GitHub Actions CI/CD pipelines
- Familiarity with Model Context Protocol or AI tool and plugin interfaces
- Familiarity with Snowflake, Databricks, data lakes, or similar data platforms
- Exposure to authorization models such as row-level security or role-based access
- Familiarity with cloud cost optimization or FinOps concepts
- 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
What the Team is Saying
Belinda
Manager of Network Automation
Tonya
Director of Agile Delivery
Chris
Manager of Engineering Support & Delivery
John Chapman
National Client Sales Director, Cox Automotive
Kib Yahyehyrab
Audit Analysis, Cox Enterprises
Jenny Arias
Marketing & Events Assistant, Cox Farms
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The Company
What We Do
Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!
Why Work With Us
Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.
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About our Teams
Cox Enterprises Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible
