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.
Responsibilities- 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 isn't.
We view AI as an engineering multiplier, not a substitute for engineering judgment.
What We're Looking For- 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 APIs, .NET, Node.js, Python development, DevSecOps, SRE practices, MCP servers, or AI agent/tool integrations.
How We WorkWe 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, we'd like to talk.
Skills Required
- 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 Kubernetes/EKS, Helm, Argo CD, Datadog, Grafana, Prometheus, networking and DNS, REST or GraphQL APIs, .NET, Node.js, Python development, DevSecOps, SRE practices, MCP servers, or AI agent/tool integrations
Hearst Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hearst and has not been reviewed or approved by Hearst.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical plan choice, full in-network preventive coverage, dental and vision, telemedicine, prescription coverage, and fertility resources. Mental-health resources and other wellbeing services (e.g., therapy sessions, crisis support, virtual physical therapy, and chronic-condition programs) further strengthen the health offering.
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Retirement Support — Retirement support is positioned as meaningful through a 401(k) plan with company matching and Hearst covering plan administration fees. Performance bonuses are also noted as available in some roles, adding an additional rewards component beyond base pay.
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Leave & Time Off Breadth — Time-off benefits include paid holidays, paid sick days, and vacation time with a commonly cited annual range, alongside paid parental leave and family medical leave. A remote work program and flexibility signals are also included as part of the overall rewards experience.
Hearst Insights
What We Do
Hearst is a leading global, diversified media, information and services company with more than 360 businesses. Its major interests include ownership in cable television networks such as A&E, HISTORY, Lifetime and ESPN; global financial services leader Fitch Group; Hearst Health, a group of medical information and services businesses; transportation assets including CAMP Systems International, a major provider of software-as-a-service solutions for managing maintenance of jets and helicopters; 33 television stations such as WCVB-TV in Boston and KCRA-TV in Sacramento, California, which reach a combined 19 percent of U.S. viewers; newspapers such as the Houston Chronicle, San Francisco Chronicle and Times Union (Albany, New York); more than 300 magazines around the world, including Cosmopolitan, ELLE, Men's Health and Car and Driver, and digital services businesses such as iCrossing and KUBRA; and investments in emerging digital entertainment companies such as Complex Networks.
