Uber's Client Platform Engineering team works across the organization to scale hardware management with robust infrastructure, increasing operational efficiency and security across every connected device in Uber's global ecosystem — from production tablets in the field to corporate endpoints in the hands of Uber's employees. Sitting within the Cyber. Defense organization, our team is uniquely positioned at the intersection of security, engineering, and operations, and our work directly shapes how Uber's workforce and field operations stay secure, compliant, and productive. As a senior engineer on this team, you will own cross-platform device management at scale, drive automation across the full endpoint lifecycle, and serve as a thought leader and collaborative partner for software engineering, logistics, security, and procurement stakeholders worldwide. - - \-\-\-\- What the Candidate Will Do ---- - - - Own the end-to-end lifecycle of Uber's global device fleet — spanning production Android tablets, iPads, corporate mac. OS, and Windows endpoints — ensuring all devices remain enrolled, compliant, and performant through Ivanti Neurons MDM and complementary configuration management tooling such as Chef. - Design, build, and maintain automation pipelines across provisioning, OS and application update management, CI/ CD build and release workflows, and compliance remediation — writing modular, production-grade code that reduces manual toil and scales with the business. - Expand and harden Uber's endpoint management infrastructure, implementing scalable systems that improve security posture, integrate with corporate account management and access provisioning systems, and support user lifecycle processing from onboarding through offboarding. - Serve as a cross-functional technical partner and thought leader, collaborating with software engineering, support, logistics, and procurement teams to identify automation opportunities, build self-service capabilities, proselytize Infrastructure-as-Code practices, and translate operational requirements into enforceable platform standards. - Evaluate and onboard new hardware, SK - Us, and management technologies, conducting compatibility assessments and building enrollment and configuration standards as Uber's fleet evolves across manufacturers, form factors, and geographies. - - \-\-\-\- Basic Qualifications ---- - - - 5 years of client platform engineering experience, with demonstrated ownership of large-scale, multi-OS endpoint environments spanning mobile (Android, iOS/iPad. OS), mac. OS, and Windows. - Deep expertise in MDM and configuration management tooling, including hands-on administration of platforms such as Ivanti Neurons and Workspace ONE alongside configuration management systems such as Chef, Ansible, Puppet, or Salt. Stack. - Proficiency in one or more scripting or systems languages — Go, Python, Ruby, or Swift — with a track record of writing high-quality, extensible code to automate complex endpoint management workflows. - Deep expertise in the Android ecosystem, including platform architecture, OEM/ SKU fragmentation, Android Enterprise enrollment modes (COBO, COPE, COSU), and familiarity with a wide range of hardware manufacturers such as Samsung, Zebra, and Lenovo. - - \-\-\-\- Preferred Qualifications ---- - - - Experience with cloud infrastructure and Infrastructure-as-Code tooling (GCP or equivalent cloud platform, Terraform, or similar), with the ability to design and maintain scalable backend systems that support endpoint management at a global scale. - Familiarity with device trust and attestation frameworks, including first-party tooling and vendor-based solutions such as Okta Verify or Google Context-Aware Access, and experience integrating endpoints into corporate identity and access provisioning systems. - Experience building secure client experiences across multiple delivery models, including VDI, app streaming, and enterprise browser technologies, as well as managing Windows environments with Azure Active Directory. - Familiarity with open-source MDM and observability tooling — such as Nano. MDM, Micro. MDM, or osquery — and active participation in the open-source community.