Software Engineer II - Utah Staffing : Job Details

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 and monitoring: ensure high availability and performance of applications through proactive monitoring, incident response, and root cause analysis.
• Automation and 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 and 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 and technologies:

• Languages: python, javascript, powershell, golang
• 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 and 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

Compensation: $87,200.00 - $130,800.00 per year

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...