Hybrid Cloud Analytics Engineer

  • Location:
  • Salary:
    negotiable
  • Job type:
    Full-Time
  • Posted:
    6 months ago
  • Category:
    Hybrid Cloud
  • Deadline:
    Open
  • Languages:
    English
  • Gender:
    Male, Female, Other

Job Description
The IBM Cloud Platform For Data makes data simple and available across the enterprise to help drive a data driven culture. This is a platform crafted for enterprise customers on a containerized Kubernetes framework. It is IBM’s new initiative which uses technologies like NodeJS, React, Go to enable clients and sales team in having a product with excellent user experience.

Who You Are:

Do you love working with different personas like Data Scientist, Data Curator, and Data Engineers to collaborate with teams on their Data Journey with various Cloud products? Do you desire to design and implement new features using state of the art technologies? Do you strive to build a highly scalable and reliable technology platform that satisfies customer and client’s needs? We want you to join our team.

What You Will Do:

As a Hybrid Cloud Software Engineer you will be able to perform advanced-level application analysis, design, development, unit testing and implementation activities for Cloud development. You will collaborate with extended team members and take guidance from senior members and architects to drive the architecture, design, and implementation across multiple teams with aggressive deadlines. You will also get an opportunity to work with cross functional teams like User experience, Quality Assurance, and Customer experience to build a robust platform using cutting edge technologies.

Required Technical and Professional Expertise

  • 2+ years’ experience software programming experience in combination of the following high level languages like Golang, Python, React, NodeJS, Java, Kubernetes
  • 1-year experience in Agile Application Development
  • 2+ years’ experience in JavaScript in the backend or in developing browser based applications
  • Expertise working on Linux, crafting containerized services and with Kubernetes based deployments.
  • Familiarity with git, and various development tools: IDEs, and others on Mac, Linux or Windows platforms
  • Experience with Continuous Integration / Continuous Delivery (CI/CD) methodologies

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