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