DevOps Engineer

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.

Youll 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. Were 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 dont 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.

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:

• Give agents clear context constraints and acceptance criteria.
• Build reusable skills hooks instructions and workflows.
• Connect agents to appropriate tools repositories APIs and documentation.
• Use automated validation and guardrails around agent-driven work.
• Critically review AI-generated code infrastructure and recommendations.
• Understand the security implications of agent access and permissions.
• Recognize when AI is the right tool - and when it isnt.

We view AI as an engineering multiplier not a substitute for engineering judgment.

• Experience building or supporting production cloud infrastructure.
• Strong AWS knowledge or experience with another major cloud provider.
• Experience with Infrastructure as Code such as Pulumi Terraform CloudFormation or Ansible.
• Experience with Docker and Kubernetes.
• Experience building or maintaining CI/CD pipelines.
• Ability to automate using Python PowerShell Bash or another programming language.
• Experience with Linux and/or Windows environments.
• Strong troubleshooting and problem-solving skills.
• Understanding of CI/CD automation and shift-left engineering practices.
• Ability to work independently while collaborating effectively with others.
• Strong communication ownership and technical judgment.

Experience with any of the following is helpful but not required:

Kubernetes/EKS Helm Argo CD Datadog Grafana Prometheus networking and DNS REST or GraphQL Python development DevSecOps SRE practices MCP servers or AI agent/tool integrations.

We value engineers who:

• Shift left and automate recurring problems.
• Own outcomes not just assigned tasks.
• Keep learning and adapt as technology changes.
• Embrace ambiguity and work through unfamiliar problems.
• Choose simplicity over unnecessary complexity.
• Use AI effectively while validating its work.
• Think about the customer and the reliability of the systems they depend on.
• Share knowledge and help the team improve.

Black Book offers the scale and stability of Hearst while giving engineers the opportunity to work across modern cloud Kubernetes automation data and AI technologies.

Benefits include comprehensive health coverage 401(k) with company match HSA contributions paid time off volunteer days.

If you enjoy solving hard technical problems automating repetitive work and improving the way engineering teams operate wed like to talk.