# DevOps Engineer at Hearst > Hybrid · United States · Unspecified · DevOps / SRE / Infra · open. Source: https://alderhq.app/jobs/greenhouse%3Ahearst%3A4466333009 (read 2026-11-15). ## Facts (observed) - Company: [Hearst](https://alderhq.app/companies/hearst) - Location text: Lawrenceville, GA, United States; Lawrenceville - Where it can be done from (inferred): Hybrid · United States (evidence: "Location: Lawrenceville, GA, United States; Lawrenceville") - Posted: 2026-10-26 (20 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-15 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/hearst/jobs/4466333009 - Skills listed (inferred): JavaScript, Node.js, Python, C#/.NET, GraphQL, AWS, Azure, Kubernetes, Docker, Terraform ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United States, n 558): p25 $144k, median $180k, p75 $230k ## Description (the employer's text) ### The Opportunity 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. Hybrid: This hybrid role is based in our Lawrenceville, Georgia office. ### What You’ll Do - 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. ### What You’ll Bring 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. ### Required Qualifications - Minimum of 3 years’ experience in DevOps and Cloud Infrastructure Operations. - 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, with an understanding of automation and shift-left engineering practices. - Ability to automate using Python, PowerShell, Bash or another programming language. - Experience with Linux and/or Windows environments. - Strong troubleshooting and problem-solving skills. - Ability to work independently while collaborating effectively with others. - Strong communication, ownership and technical judgment. - Ability to use modern AI development and engineering tools, such as Claude Code and similar AI agents, to accelerate development, troubleshooting, automation, documentation and research, going beyond basic prompting or code completion. ### Preferred Qualifications Experience with any of the following is helpful, but not required: EKS, Helm, Argo CD, Datadog, Grafana, Prometheus, networking and DNS, REST or GraphQL APIs, .NET, Node.js, DevSecOps, SRE practices, MCP servers or AI agent/tool integrations. 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. ### How We Work We value engineers who: - Shift left and automate recurring problems. - Own outcomes, not just assigned tasks. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ahearst%3A4466333009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.