DevOps/MLOps Engineer

Responsibilities

  • Develop and extend components of our core infrastructure
  • Design multi-cloud system architectures for products operating on various cloud services
  • Improve software development workflows for engineering and operational efficiency
  • Analyze build/test logs and discover relevant metrics using our own data and AI platforms
  • Develop automated build, test, and release infrastructures
  • Establish and improve development process standards, including coding style and code reviews, rigorous testing, and deployment packaging for development excellence

Qualifications

  • Over 5 years of experience in production programming using languages such as Java, Scala, Go, C++, Python, etc.
  • Passion for developing highly scalable and reliable infrastructure
  • Experience in architecting, developing and deploying large-scale distributed systems
  • Experience with cloud APIs such as AWS, Azure, GCP, or an advanced private cloud solutions such as Google and Facebook
  • Experience with cloud technologies such as WS, Azure, GCP, Docker, Kubernetes, and Terraform

Submission

  • Email your resume to careers@vivity.ai
  • Use the following email title format: [Application] (REC-year-num) Your_Name
  • Example: [Application] (REC-2023-08) John_Wick.
  • Make sure that your application code (REC-year-num) is correct.
  • Attach your resume in PDF format.
  • Feel free to include any necessary information in your resume. However, be concise and to the point.

Key Dates

  • Application (접수): 2023/07/17 ~ 2023/07/28
  • Screening (서류심사): ~ 07/31
  • Online interview (온라인인터뷰): 07/31 ~ 08/04
  • Onsite interview (현장면접): 08/07 ~ 08/18
  • Decision (결과): ~ 08/25

Contact: careers@vivity.ai


Posted: 2023-07-17
Code: REC-2023-12