Thinking Machines Lab
Endpoint Engineer, IT
San Francisco · Senior
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About the role
- Our endpoint configurations, security policies, scripts, and software deployments are increasingly managed through version-controlled workflows with testing, review, staged rollouts, and rollback capabilities.
Responsibilities
- Endpoint Configuration as Code: Author, review, test, and progressively deploy macOS configuration profiles, security policies, queries, and remediation scripts. Build code review, staging, canary, validation, and rollback processes into endpoint changes.
- MDM Migration: Lead the evaluation, design, testing, and execution of our planned migration from Iru to Fleet.
- Establish functional requirements, identify configuration and security-control gaps, develop a phased migration plan, and move the fleet with minimal disruption to employees.
- Santa and Rudolph: Own the architecture and operation of Santa and its Rudolph synchronization service. Manage binary-authorization policies, rule distribution, application approvals, telemetry, observability, infrastructure, and incident response.
- Zero Trust and Device Trust: Partner closely with Security and Identity to make device trust a core component of our Zero Trust architecture. Integrate endpoint posture signals into authentication, authorization, and conditional-access decisions.
- Patch Management: Build and maintain automated macOS patching workflows that support rapid enforcement timelines while providing a thoughtful employee experience.
- Zero-Touch Provisioning: Design and improve Apple Business Manager and Automated Device Enrollment workflows that turn a new Mac into a secure, fully configured, and productive machine with minimal manual intervention.
- Software Distribution: Own application packaging, deployment, updating, and removal across the Mac fleet.
- Automation: Build tools and AI-assisted workflows that reduce repetitive operational work and make endpoint management more reliable and scalable.
- Endpoint Security: Partner with Security on macOS hardening, binary authorization, vulnerability management, compliance controls, detection and response, and device-based access policies.
Requirements
- 8+ years of experience building and operating secure IT or endpoint systems in complex environments.
- Experience managing a large fleet of macOS devices through a modern MDM platform.
- Experience managing endpoint configuration through scripted deployments, Git-based workflows, or a full GitOps model.
- Deep knowledge of macOS internals, enterprise deployment, security controls, and troubleshooting.
- Experience designing and operating zero-touch Mac provisioning, patching, and software-distribution workflows.
- Experience successfully delivering complex technical projects from conception through production.
- Strong ability to solve ambiguous problems involving multiple teams and stakeholders.
- Ability to communicate technical concepts clearly to technical and nontechnical audiences.
- Ability to work from either our New York or San Francisco office.
Nice to have
- Fleet: Experience deploying, operating, or contributing to Fleet, including its MDM, osquery, GitOps, software-management, and vulnerability-management capabilities.
- MDM Migration: Experience leading a production MDM migration, particularly in an environment using Apple Business Manager and Automated Device Enrollment.
- Iru: Experience managing macOS devices with Iru, formerly Kandji.
- Santa and Rudolph: Experience operating Santa at scale, including rule management, binary authorization, event telemetry, and a Rudolph synchronization service.
- Zero Trust: Experience designing device-trust and continuous-posture-evaluation systems that integrate with identity providers, conditional access, or other Zero Trust controls.
- MDM as a Service: Experience operating an MDM or device-management platform as a production service rather than only administering a SaaS console.
- Open-Source Tooling: Experience deploying, operating, or contributing to open-source macOS endpoint-management or security tools.
- Infrastructure as Code: Experience managing endpoint or cloud infrastructure through Terraform or another infrastructure-as-code framework.
Skills
- Python and shell scripting.
- Apple Business Manager, Automated Device Enrollment, and Apple's MDM and Declarative Device Management frameworks.
- Modern Apple MDM platforms, particularly Iru, Fleet, Jamf, or equivalent.
- Santa binary authorization and Rudolph synchronization infrastructure.
- Fleet-scale querying and osquery.
- Git, pull-request workflows, GitOps, and CI/CD for endpoint configuration.
- Terraform and infrastructure as code.
- Public-cloud fundamentals, including serverless infrastructure, containers, managed databases, and monitoring.
- Device lifecycle automation, including zero-touch enrollment, patching, software distribution, and secure deprovisioning.
- Endpoint security, Zero Trust, device trust, continuous posture evaluation, compliance, and automated remediation.
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $260,000 - $360,000.
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $260,000 - $360,000.
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Company info
- The IT team builds secure infrastructure and efficient processes that enable our employees to move quickly.
- We operate an all-Mac environment and manage our endpoint fleet as a distributed platform, applying production-engineering practices to device management and security.
- This role will work closely with IT, Security, Identity, and Infrastructure to deliver a secure and reliable employee computing experience.
Visa & Work Authorization
- We sponsor visas.
- While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.