Automation QA Engineer

Engineering  |  Berkeley, San Jose  |  Full Time

 

Nefeli Networks is an award-winning early stage startup in Silicon Valley working on bringing distributed cloud and Lean NFV to the market. This is the opportunity to get in early as we begin to ramp revenue and expand our offer. You’ll be working with a talented team of innovative developers, making key new contributions to the cloud and networking fields.

We are looking for a motivated and talented individual that can help us grow our product and expand our automation capabilities.

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Responsibilities:

  • Contribute to the entire product lifecycle through inception, design, deployment, operation, and refinement
  • Design and develop the testing frameworks and libraries needed to ensure proper coverage
  • Analyze and troubleshoot large-scale distributed computer systems
  • Collaborate with developers to design and build a reliable, testable, and secure product

Qualifications:

  • Experience in testing microservices and RESTful APIs
  • Experience in scaling or performance testing including network impairment testing using equipment such as Ixia, Spirent, TRex, or Warp17
  • Worked with virtualization or container technology such as KVM and Docker
  • Familiar with cloud infrastructure and deployments such as AWS, Azure
  • Experience with documenting and automating tests for both backend systems and front-end browser apps using tools such as Selenium
  • Knowledgeable in Python, Go, and in developing on Unix/Linux operating systems
  • Experience with networking (e.g., TCP/IP, routing, L2 to L3 technologies, SDN, NFV, VxLAN, BGP)
  • Ability to troubleshoot the various network layers from L2 to L7. Familiar with wireshark, tcpdump, network analysis and setup
  • Familiar with Agile Scrum methodologies
  • Strong initiative and passionate about automation and learning new technologies
  • Ability to communicate effectively and succinctly
  • Strong systematic problem solving skills and ability to work in ambiguity
  • Minimum of 7 years experience in the field

Education:

  • B.S. in Computer Science or related technical field is required. An advanced degree a plus

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