Senior Client Platform Engineer, Endpoint Platform & Automation
New
D
DropboxEndpoint management
Remote - US: Select locationsFull-TimeSenior
Salary159,100 - 215,300 USD per year
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Job Details
- Required Skills
- PythonGitGoLinux
Requirements
- Bring significant hands-on experience engineering enterprise endpoint platforms.
- Have deep expertise in at least one of Windows, macOS, or Linux, and experience working across OS boundaries.
- Have personally owned a multi-phase platform migration or comparable change, including discovery, pilots, rollout, recovery, and operational handover.
- Demonstrate practical programming or scripting skills, such as Python, Go, PowerShell, or shell, with production automation and API integration experience.
- Use Git, code review, automated checks, and controlled deployment for configuration or infrastructure changes.
- Diagnose enrollment, agent, policy, identity, networking, and integration failures, and distinguish missing data from healthy devices.
- Have experience establishing monitoring, failure handling, least-privilege access, secrets management, and maintainable operational workflows.
- Define priorities independently, align cross-functional stakeholders, communicate trade-offs, and mentor engineers.
- Preferred: Production experience with FleetDM configuration, policies, queries, APIs, agent operations, or deployment automation.
- Preferred: Practical osquery and SQL experience, including query validation, performance considerations, targeting, and stale or missing results.
- Preferred: Migration or coexistence experience with Intune, Jamf, or comparable endpoint-management platforms.
- Preferred: Experience integrating endpoint platforms with identity, security, inventory, or ITSM services.
Responsibilities
- Lead the FleetDM migration by defining scope, requirements, architecture, dependencies, and phased delivery plans.
- Maintain shared platform configuration, agent workflows, policies, queries, integrations, and operational automation.
- Build version-controlled configuration workflows with automated checks, peer review, controlled rollout, drift detection, and recovery.
- Identify platform capability gaps and clarify management authority and which responsibilities should migrate or remain with existing tools.
- Establish reliable device populations, data freshness, enrollment and agent health, and owned remediation workflows.
- Use representative pilots, acceptance gates, employee-impact checks, and clear pause and recovery decisions to protect service continuity.
- Create reusable patterns and documentation, and build shared support coverage through pairing, mentoring, and operational handoffs.
- Reduce recurring manual work and recommend tooling consolidation when supported by evidence.
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