Software Engineer II (IN), Senior

Zebra Technologies

Cloud Software Engineer

Cloud Device Management Engineering

You’ll collaborate closely with Android system engineers, cloud architects, and product teams to build cloud-native services that power Zebra’s next-generation device lifecycle management and MDM/EMM platforms.

cloud microservices

• Working experience on

  serverless platform

   like firebase
• Build and maintain secure APIs and orchestration layers to manage large fleets of Zebra Android devices.
• Develop workflows for

  device enrollment, compliance reporting, OTA updates

  , and

  remote commands

  .
• Collaborate with Android platform and device firmware teams to align

  DPC (Device Policy Controller)

   behavior with cloud orchestration.
• Implement and scale event-driven data pipelines for

  telemetry ingestion and policy distribution

  .
• Ensure security, scalability, and observability across multi-tenant cloud deployments (GCP) .

Bachelor's or master's degree in computer science

5+ years' experience

preferred 2+ years

o        Android Management API (AMAPI)

o        Play EMM API

o        Zero-Touch Enrollment API

o        DevicePolicyManager and related Android SDK APIs

• Strong programming skills in

  JavaScript, Java, ReactJS

• Experience with

  RESTful APIs

  ,

  OAuth2

  ,

  JWT

  , and enterprise authentication mechanisms.
• Solid understanding of

  containerized microservices (Docker, Kubernetes)

   and

  CI/CD

   pipelines.

 Preferred Skills

• Experience working with

  EMM or MDM platforms

  (e.g., Esper, VMware Workspace ONE, SOTI, or Intune).
• Understanding

  enterprise mobility and Android provisioning workflows

   at scale.
• Data processing workflows which can handle large amounts of data ingress and processing
• Up-to-date knowledge of cloud computing trends, technologies, and best practices.
• Experience in optimizing cloud costs
• Hands-on experience with

  Google Cloud Platform (GCP).

• Familiarity with

  Zebra Mobility Extensions (MX), OEMConfig

  , or Android system services.
• Exposure

  device telemetry, OTA orchestration

  , or

  IoT/edge connectivity

  .
• Good knowledge of using AI tools in SDLC