Senior Client Platform Engineer, Endpoint Platform & Automation
- Market p25–p75
- CAD 146k–CAD 183k
- H-1B median · Software engineering
- $176k
- Opened · 30d
- +19
- Closed · 30d
- −4
- Opened · 7d
- +2118% of open
- All backend
- 8,262open
Role Description
As a Senior Client Platform Engineer on CorpFleet Engineering, you will lead the migration to FleetDM and build the shared platform capabilities that support dependable endpoint operations. You will combine hands-on engineering with technical planning, partnering with Windows, macOS, and Linux engineers to introduce changes safely across a distributed environment.
You will develop automation, integrations, and configuration-as-code workflows, validate platform capabilities, and guide phased adoption. Beyond migration, you will improve platform reliability, visibility, and maintainability, helping the team reduce manual work and operate the service with shared ownership.
You will partner with Security, IAM, CorpInfra, and support teams to resolve dependencies and make practical trade-offs. This is an individual-contributor position with technical leadership and mentoring responsibilities.
Responsibilities
- Lead the FleetDM migration. Define scope, requirements, architecture, dependencies, and a phased delivery plan with OS specialists and partner teams.
- Engineer and operate the shared platform. Maintain configuration, agent workflows, policies, queries, integrations, and operational automation.
- Make deployment safe and repeatable. Build version-controlled configuration with automated checks, peer review, controlled rollout, drift detection, and recovery.
- Validate capabilities and coexistence. Identify gaps, clarify management authority, and establish which responsibilities should migrate or remain with existing tools.
- Make platform health actionable. Establish trustworthy device populations, data freshness, enrollment and agent health, and owned remediation workflows.
- Protect service continuity. Use representative pilots, acceptance gates, employee-impact checks, and clear pause and recovery decisions.
- Strengthen team capability. Create reusable patterns, documentation, and shared support coverage through pairing, mentoring, and operational handoffs.
- Improve efficiency and cost. Reduce recurring manual work and recommend tooling consolidation where evidence supports it.
Requirements
- Significant hands-on experience engineering enterprise endpoint platforms, including deep expertise in at least one of Windows, macOS, or Linux and experience working across OS boundaries.
- Personal ownership of a multi-phase platform migration or comparable change, including discovery, pilots, rollout, recovery, and operational handover.
- Strong practical programming or scripting skills, such as Python, Go, PowerShell, or shell, with production automation and API integration experience.
- Demonstrated use of Git, code review, automated checks, and controlled deployment for configuration or infrastructure changes.
- Ability to diagnose enrollment, agent, policy, identity, networking, and integration failures and distinguish missing data from healthy devices.
- Experience establishing monitoring, failure handling, least-privilege access, secrets management, and maintainable operational workflows.
- Ability to independently define priorities, align cross-functional stakeholders, communicate trade-offs, and mentor engineers.
- Clear written and verbal communication and effective asynchronous collaboration across regions.
Preferred Qualifications
- Production experience with FleetDM configuration, policies, queries, APIs, agent operations, or deployment automation.
- Practical osquery and SQL experience, including query validation, performance considerations, targeting, and stale or missing results.
- Migration or coexistence experience involving Intune, Jamf, or comparable endpoint-management platforms.
- Experience integrating endpoint platforms with identity, security, inventory, or ITSM services.
- Experience supporting developer-heavy, distributed environments.
- Demonstrated improvements in platform operating effort, tool consolidation, or lifecycle cost.
Durable Skills
AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve: