Software Engineer I
Location: Carmel IN
Time Type: Full time
Job Description
Company
Cox Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary of $74,000.00 - $111,000.00. 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.Job Description
Cox Automotive is seeking an entry-level full stack engineer who builds software collaboratively with AI tools and agents. You ship working code every sprint, learn fast, and treat AI-augmented development as a core skill - not an add-on.
Who You Are:
- AI-Augmented Mindset: Demonstrated use of AI coding assistants (GitHub Copilot, Claude, Cursor, etc.) in personal, academic, or professional projects. You don't just use autocomplete - you provide context, iterate on outputs, and evaluate quality. Spec Driven Development (SDD) experience is a plus.
- Problem Solving: Analytical thinking with attention to detail and a methodical approach to debugging and troubleshooting.
- Experience with an object oriented program language.
- Full Stack Curiosity: Desire to work across the entire technology stack rather than specializing in a single layer.
- Exposure to cloud platforms such as AWS or Azure.
Understanding of RESTful API design and development.
Basic understanding of observability concepts (e.g., logging, monitoring, and tracing).
Knowledge of database technologies like MSSQL.
Bachelor’s degree in a related discipline. The right candidate could also have a different combination, such as 4 years’ experience in a related field.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
What You'll Do:
- Collaborate with AI agents and tools to build, test, and deploy software across the SDLC - providing proper contextual inputs to improve AI understanding and output quality.
- Work on integrating observability tools to monitor and improve system performance.
- Contribute to prompt engineering experimentation and share tool usage insights with the team.
- Collaborate on system tests to provide coverage for current systems and new changes.
- Evaluate and respond to bug submissions.
- Apply secure coding practices consistently across all development work.
- Communicate changes, challenges, and progress transparently to the team.
- Participate in code reviews - both giving and receiving feedback.
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