Lead Chef Automation Engineer
Mastercard is hiring a Lead Chef Automation Engineer. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a lead role.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted in the last few days.
AI in this role
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead Chef Automation EngineerOverviewThe Lead Chef Automation Engineer is a hands-on technical leader responsible for designing and building scalable automation solutions for large, hybrid infrastructure environments. This role focuses on creating reusable automation frameworks using Chef, Infrastructure as Code (IaC), and DevOps practices to deliver secure, consistent, and self-service infrastructure capabilities.
The ideal candidate is a strong DevOps or platform engineer with deep hands-on Chef experience who enjoys building automation solutions at scale rather than performing manual infrastructure operations.
Key Responsibilities
Design, develop, and maintain Chef cookbooks, recipes, Policyfiles, and automation frameworks across cloud and on-premises environments.
Build and maintain Chef Automate capabilities for configuration management, compliance, reporting, and fleet management.
Develop reusable automation libraries, templates, and patterns that standardize infrastructure configuration and provisioning.
Integrate automation with CI/CD pipelines, secrets management, artifact repositories, APIs, and governance controls.
Build automated testing and validation using Test Kitchen, InSpec, ChefSpec, and related tools.
Partner with cloud, platform, security, and SRE teams to establish configuration baselines, security standards, and compliance policies.
Develop and support Infrastructure as Code using technologies such as Terraform, CloudFormation, and ARM/Bicep.
Troubleshoot complex automation and configuration issues across hybrid environments.
Contribute to broader platform engineering capabilities, including self-service infrastructure, GitOps, and automated remediation.
Help establish engineering standards, reusable automation patterns, and platform architecture.
Required Qualifications
Strong experience in DevOps, platform engineering, infrastructure automation, or configuration management.
Deep hands-on experience with Chef Infra, including cookbook development, Policyfiles, Test Kitchen, and InSpec.
Experience supporting large-scale configuration management environments using Chef Server, Chef Automate, or similar technologies.
Strong understanding of Linux, operating system configuration, hardening, and lifecycle management.
Experience working across cloud and on-premises infrastructure, including AWS, Azure, GCP, VMware, or Hyper-V.
Strong scripting or programming skills with Ruby, Python, Bash, or PowerShell, with Ruby particularly relevant to Chef.
Experience integrating automation into CI/CD environments such as GitHub Actions, GitLab, Jenkins, or Azure DevOps.
Strong understanding of Git-based development, testing, code review, and version-control practices.
Ability to diagnose and resolve complex infrastructure and automation problems.
Preferred Qualifications
Experience with Chef Habitat and/or Chef Automate.
Experience with Terraform or other Infrastructure as Code platforms.
Familiarity with policy-as-code technologies such as OPA, Conftest, or Sentinel.
Experience with security hardening, compliance automation, or CIS benchmarks.
Exposure to Kubernetes, Helm, and container platforms.
Familiarity with observability technologies such as Prometheus, Datadog, Splunk, or ELK.
Experience integrating infrastructure through APIs or network automation.
Core Technical Areas
Chef & Configuration Management: Chef Infra, Chef Automate, InSpec, Test Kitchen, Policyfiles, Ruby
Infrastructure as Code: Terraform, CloudFormation, ARM/Bicep
DevOps & CI/CD: Git, GitHub Actions, GitLab, Jenkins, Azure DevOps
Automation & Scripting: Ruby, Python, Bash, PowerShell, APIs
Infrastructure: Linux, AWS, Azure, GCP, VMware, Hyper-V
Platform Engineering: Self-service automation, configuration compliance, secrets management, observability, GitOpsMastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Pay Ranges
O'Fallon, Missouri: $122,000 - $207,000 USDHow we rate this
Lead Chef Automation Engineer at Mastercard rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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