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Software Engineer II
Cox Automotive
- Mableton, Georgia, United States
- Mableton, Georgia, United States
About
Job Responsibilities :
- Strengthen and apply software engineering skills, tools, and methodologies, including the responsible use of AI-assisted development.
- Contribute effectively to coding tasks by implementing features, writing unit and integration tests, pairing with teammates, and using AI tools to support code generation and troubleshooting.
- Translate business and functional requirements into clear, actionable technical tasks and participate meaningfully in sprint planning and estimation.
- Identify and implement opportunities to automate manual or repetitive workflows using both AI-enabled and traditional engineering tools.
- Diagnose and resolve defects using structured debugging techniques supported by AI-guided root-cause analysis.
- Support modernization initiatives by updating legacy code, contributing to migration activities, and using AI tools to analyze and improve older patterns.
- Apply secure coding practices and leverage AI-assisted code analysis to detect vulnerabilities, quality gaps, and performance issues.
- Investigate performance or system bottlenecks through diagnostics, testing, and AI-supported evaluation.
- Participate in performance testing and contribute to resolving issues identified through analytical and AI-driven reviews.
- Produce clear, consistent documentation of processes, patterns, and best practices, using AI tools appropriately to enhance clarity and team knowledge sharing.
Required Experience, Knowledge, and Skills:
- Bachelor's degree in a related discipline and 2 years of experience in a related field, or equivalent combinations such as a master's degree and up to 2 years of experience.
- Basic experience with Java, Python, JavaScript
- Basic understanding of distributed systems concepts and how failures can
- occur.
- Exposure to automation, developer tools, or internal platforms (coursework, internships, or projects acceptable).
- Familiarity with Git/version control and awareness of CI/CD pipelines.
- Foundational knowledge of cloud services (AWS preferred; Azure a plus).
- Interest in or exposure to AI-assisted development tools and practices.
- Ability to participate in debugging, incident follow-up, and basic observability activities with guidance.
- Awareness of reliability engineering principles and automated testing practices.
- Basic understanding of monitoring, logging, and alerting concepts.
- Strong communication skills and the ability to collaborate effectively within an engineering team.
- Demonstrated curiosity, problem-solving ability, and willingness to learn new technologies and best practices.
- Exposure to embedded systems, GPIO, sensors, or low-power electronics is a plus
- 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.
USD 89,400.00 - 134,000.00 per year
Compensation:
Compensation includes a base salary 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.
Languages
- English
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