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Cox Enterprises

Software Engineer II

Cox Enterprises, Draper, Utah, United States, 84020

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Software Engineer II

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Software Engineer II

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Cox Enterprises We are seeking a

Software Engineer II

to join our DMS+ Fixed Operations team, supporting the development and reliability of our next-generation Dealer Management System for the automotive industry. This role operates at the intersection of software development, site reliability, and DevOps, working across multiple engineering teams to enhance system performance, observability, and deployment efficiency.

The

Software Engineer II

will play a key role in building and maintaining CI/CD pipelines, automating infrastructure, and implementing best practices for monitoring, scalability, and security. This position requires a strong understanding of cloud technologies (preferably AWS), modern DevOps tooling, and cross-functional collaboration. Experience with AI/ML integration and low-code/no-code platforms is a plus.

What You Will Do

System Reliability & Monitoring: Ensure high availability and performance of applications through proactive monitoring, incident response, and root cause analysis. Automation & CI/CD: Build and maintain CI/CD pipelines, automate infrastructure provisioning, and streamline deployment processes. Infrastructure as Code (IaC): Use tools like Terraform, Ansible, or CloudFormation to manage infrastructure reproducibly. Performance Optimization: Diagnose and resolve performance bottlenecks across systems and networks. Security & Compliance: Implement security best practices and ensure compliance with organizational standards. Collaboration: Work closely with development, QA, and product teams to align reliability goals with business objectives.

Skills & Technologies

Languages: Python, JavaScript, Powershell, GO-lang Cloud Platforms: AWS (primary) Tools: Jenkins, Git(github flow), Docker, Kubernetes, Helm, CDN, New Relic, pagerduty, Harness(Add-ons), splunk Frameworks: RESTful APIs, React Monitoring & Observability

Minimum Requirements

Bachelor's degree in a related discipline 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 6 years' experience in a related field DevOps and Site Reliability Engineering experience Cloud Experience (AWS or Azure or GCP)

Preferred Skills

AI - Machine Learning concepts, integrating AI applications with DevOps practices, AI tools, Automated Incident Response, Predictive Analytics for System Performance Low-Code/No-Code Platform knowledge Experience with tools: Harness, New Relic, Splunk

USD 87,200.00 - 130,800.00 per year

Compensation

Compensation includes a base salary of $87,200.00 - $130,800.00. 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.

Seniority level

Seniority level Entry level Employment type

Employment type Full-time Job function

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