Anthropic

1 month ago

IT Systems Engineer, Client Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Own and operate Anthropic’s endpoint platform end-to-end (MDM infrastructure, configuration as code, patching, and software delivery) across macOS, Windows, and mobile. Build zero-touch provisioning, rapid patch enforcement, and telemetry-driven policy while collaborating with Security and Infrastructure teams to ensure compliant, scalable, and low-toil operations supporting AI safety initiatives.

Location: Boston, New York, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS, Windows, 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
•Run software distribution for the fleet, including managed app distribution for mobile devices

Pay and Benefits

Salary: USD 325,000 - 360,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveParential Leave

Key Requirements

•8+ years building secure IT systems in complex environments or Staff level experience leading multi-team projects

Experience:8+ yearsIT operationsEndpoint managementMDMDevice management

Education:Bachelor's

Skills:CommunicationDocumentationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonPowerShellShell scriptingMacOSWindowsJamfIntuneWorkspace ONEGitOpsCI/CDCloudContainersZero touch enrollment

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

1 month ago

IT Systems Engineer, Client Platform Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Boston, New York, Washington

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS, Windows, 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
•Run software distribution for the fleet, including managed app distribution for mobile devices

Pay and Benefits

Salary: USD 325,000 - 360,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveParential Leave

Key Requirements

•8+ years building secure IT systems in complex environments or Staff level experience leading multi-team projects

Experience:8+ yearsIT operationsEndpoint managementMDMDevice management

Education:Bachelor's

Skills:CommunicationDocumentationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonPowerShellShell scriptingMacOSWindowsJamfIntuneWorkspace ONEGitOpsCI/CDCloudContainersZero touch enrollment

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn