DevOps Engineer
About this role
Black Book is looking for a Mid-to-Senior DevOps Engineer with a minimum of 3 years' experience in DevOps and Cloud Infrastructure Operations to help build, automate, and operate the CI/CD and cloud platforms that support our automotive data and technology products.
As part of the Hearst Transportation group, Black Book combines automotive expertise, data science, predictive analytics, APIs, and modern cloud technology to help dealerships, lenders, OEMs, insurers, fleet operators, and other automotive businesses make better decisions.
You'll work closely with software engineers, data engineers, data scientists, and analysts to improve how applications and infrastructure are built, deployed, monitored, and supported.
This is not a ticket-driven infrastructure role. We're looking for an engineer who enjoys automation, troubleshooting complex problems, improving platforms, and taking ownership from idea through production.
Our environment includes:
AWS • Kubernetes/EKS • Pulumi • Argo CD • Azure DevOps • Python • PowerShell • Bash • Linux • Windows • Grafana • AI Engineering Tools
You don't need experience with every tool. Strong engineering fundamentals, curiosity, and the ability to learn matter more than matching our stack exactly.
• Build and operate highly available AWS and Kubernetes infrastructure. • Develop and maintain Infrastructure as Code and automation. • Improve CI/CD and GitOps workflows. • Automate operational tasks with Python, PowerShell, Bash, or similar tools. • Troubleshoot production issues across applications, containers, networking, and cloud infrastructure. • Improve observability, reliability, security, performance, and cost efficiency. • Partner with development and data teams to promote DevOps and shift-left practices. • Participate in incident response and help eliminate root causes. • Document solutions, share knowledge, and mentor teammates. • Support customer-impacting issues when needed.
Qualifications:
AI-Native Engineering
We expect our engineers to be highly effective with modern AI development and engineering tools.
That means going beyond basic prompting or code completion. You should be comfortable using tools such as Claude Code and similar AI agents to accelerate development, troubleshooting, automation, documentation, and research.
We value engineers who can: