Position: Middle Strong/Senior DevOps Engineer
Company: KnubiSoft
Category: DevOps
Experience required: 3y
English level: intermediate

**About projects**
The client is Silicon Valley-based software consultancy that moves projects to market faster. The client is considering the candidates on one out of four projects:
1.Real estate project looking for help building out their full MVP
Team: DevOps, Backend, Frontend, UX/UI, Mobile
Tech stack: AWS, Python, Node.js, React Native or Flutter, React
Stage: MVP - building from scratch
2. Biotech project doing cutting edge RNA research. Need help moving data model into a modern MLOps architecture and implementing an analytics dashboard for viewing data.
Team: DevOps, Machine learning engineer / data engineer, UX/UI, and front end engineer
Tech stack: AWS, Python scripting, Amazon Quicksight, some React
Stage: Existing product / data but move to Machine Learning and AWS is net new.
3. Biotech project developing novel drugs to target tumors. Looking for support migrating their on prem machine learning to AWS.
Team: DevOps, Backend, and Machine Learning Engineer / Data Engineer
Tech stack: AWS, Python
Stage: Existing ML models. We would help migrate to AWS.

**Requirements:**
3+ years of experience as a professional DevOps engineer including experience building with the following tools and technologies:
Bash scripting and system administration
Security and compliance best practices on AWS
Version control tools such as Git
CI/CD pipelines built with native AWS tools or Jenkins, Ansible, or similar
Deployment with CloudFormation and/or Terraform
Docker and Kubernetes
Experience with database administration is a plus (relational, non-relational, time series)
Ambition to learn and grow into different industries with a modern tech stack

**Responsibilities**
Deploy, secure, and maintain robust applications in production environments
Build core infrastructure in the cloud (mainly Amazon Web Services)
Design application infrastructure using microservices architecture
Orchestrate containers and maintain environment using Kubernetes
Automate operations using scripts and automation tools
Implement reliable CI/CD pipelines
Comply with all security best practices and relevant compliance / regulatory requirements


**We offer**
Exchange of experience, professional development
A strong team, a healthy atmosphere
Flexible working time
20 days paid vacation
Paid sick leave
8-hour working day and 5-day working week
Good office location
English classes at company expense
Partial payment for gym memberships
Partial payment for courses and certifications
Regular company events