IT Systems Engineer, Client Platform Engineer, macOS

Anthropic; Massachusetts; Hybrid; USD 285,000 - 325,000; Full time

Benefits offered by this job

Equity donation matching

Flexible working hours

Generous vacation and parental leave

Office space in SF

Job summary

Anthropic is seeking an experienced Endpoint Platform Engineer to own the MDM platform end-to-end, including configuration, patching, and telemetry across macOS devices and Linux. You will collaborate with Security to meet hardening and compliance standards while enabling developers and infra teams.

This role requires deep expertise in macOS internals, IaC, and scripting, plus experience building scalable automation and end-to-end device management pipelines.

Qualifications

• 8+ years building secure IT systems in complex environments; leadership across multiple teams.
• Managed endpoint fleets of thousands of macOS devices using modern MDM.
• Endpoint configuration as code is version controlled and peer reviewed.
• Deep knowledge of macOS internals (launchd, TCC, system extensions).
• Proficiency in Python and shell scripting.
• Ability to write design docs and runbooks to aid support.

Responsibilities

• Own endpoint configuration as code: author, review, test, roll out policies across macOS and mobile with canary stages.
• Operate the MDM platform as a production service, including IaC, observability, upgrades, incident response.
• Build patch management automation with rapid enforcement timelines and good UX.
• Design zero touch provisioning for day-one productivity.
• Turn fleet telemetry into policy and dashboards; use automation to reduce manual ops.
• Partner with Security on endpoint hardening and compliance controls.
• Take shifts on rotation for escalations and serve as deep escalation tier for endpoint issues.

Skills

8+ years

MDM / endpoint fleets

Endpoint config as code

macOS internals

Python scripting

Shell scripting

Education

Bachelor’s degree or equivalent

Tools

Munki

osquery

AutoPkg

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint.

You’ll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You’ll also build automation that cuts down on manual operational work. You’ll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don’t get in the way of their work. Your work will let us base access decisions on whether a device can be trusted.

We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You’ll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee’s work runs on. You’ll also help us meet the security standards our Responsible Scaling Policy requires as models advance.

Responsibilities

• Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in
• Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response
• Build patch management automation with rapid enforcement timelines while maintaining good user experience
• Design zero touch provisioning that turns a sealed box into a productive machine on day one
• Support a small number of Linux machines alongside the Mac fleet
• Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work
• Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls
• Take shifts on the team’s rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can’t resolve

You may be a good fit if you

• Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams
• Have managed endpoint fleets of thousands of macOS devices through a modern MDM
• Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles
• Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions
• Write Python and shell scripts
• Write design docs and runbooks so teammates can review and support what you build

Strong candidates may also have

• Have operated an MDM or device management platform as a service, not only consumed one as SaaS
• Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg)
• Have built automated, progressive rollout systems with promotion gated on telemetry
• Have experience running infrastructure as code in a public cloud
• Have working knowledge of Linux administration (packaging, systems, config management)
• Have used LLMs to automate ops work

Deadline to apply: None. Applications will be received on a rolling basis.

The annual compensation range for this role is listed below.

Annual Salary: $285,000 — $325,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.