Sr. Software Engineer - Reliability Engineering

About the Team

We’re building a Reliability Engineering team that 다시 architects and scales intelligent automation platforms for reliability at Cox Automotive. This isn’t traditional operations – we write code that prevents incidents, build AI‑driven response systems, and create platforms that make our engineering organization more resilient. This is a ground‑floor opportunity within our Center of Excellence to shape the future of how we respond to, learn from, and ultimately prevent incidents across our complex cloud‑based services.

You are a software engineer with a passion for operations who wants to build intelligent incident response automation gine writing code that prevents incidents before they happen, building AI‑driven response systems that learn from every outage, and creating platforms that empower engineers across the organization to build more resilient systems.

Ambitious, independent self‑starter who finds joy in exploring and evolving reliability solutions with engineering teams. You enthusiastically tackle challenging operational problems with software and see the impact of your work across the enterprise.

• Build automation that reduces toil and empowers engineering teams.
• Create tools and platforms that help teams understand and improve system reliability.
• Reimagine how we learn from incidents and turn insights into preventive measures.
• Experiment with new approaches to observability, monitoring, and alerting.
• Bring your engineering expertise to complex production challenges.
• Explore how AI can transform incident detection, triage, and response.
• Partner with teams across the organization to review and analyze incidents and solve reliability problems at scale.
• Drive technical conversations that shape how Cox Automotive builds resilient systems.
• Turn operational pain points into engineering opportunities.
• Define what modern incident response engineering looks like for our organization.

• Professional experience with static languages (Java, C#, Go) and dynamic languages (Python, Ruby, JavaScript) and understand the tradeoffs of each.
• Distributed systems expertise and understanding of failure modes.
• Experience building internal platforms
  , developer tools, or automation that scales.
• Git/version control and CI/CD pipeline experience.
• Infrastructure as code and API design experience.
• Track record eliminating toil through intelligent automation.
• Production ownership experience (on‑call, incident response, observability).
• 的平台思念思想 mindset – understanding how components interact at scale.
• Eager to dig into problems and bring proposed solutions to group discussion.
• Open to feedback and able to creatively adapt multiple ideas into solutions.
• Strong technical writing including high and low‑ính diagramming techniques.
• Analytical skills and careful attention to detail.
• Bachelor’s degree in a related discipline and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a PhD and up to 1 year of experience; or 16 years of experience in a related field.

Chaos engineering, lean methodologies, open‑source contributions, public speaking skills.

Own a roadmap, write design docs, ship features—not just keeping lights on.

Shape SRE practices that ensure reliability, availability, and performance across Cox Automotive.

Work with cutting‑edge LLM technology to solve real production problems.

Grow into technical acumen, work with leadership across all levels, shape reliability strategy.

Cox Automotive Inc. is transforming the way the world buys, sells, owns and uses cars with industry‑leading digital marketing, software, financial, wholesale and e‑commerce solutions for consumers, dealers, manufacturers and the overall automotive ecosystem worldwide. The global company has over 30,000 team members in more than 200 locations and is a partner to more than 40,000 auto dealers, as well as most major automobile manufacturers.

Cox Automotive is a…