Position: DevOps Engineer
Company: MWDN
Category: DevOps
Experience required: 3y
English level: intermediate

Requirements: 
- 3+ years of experience in DevOps engineering.
- Excellent scripting using Python, Go, Bash 
- Vast experience in managing a production environment, including monitoring and logging solutions.
- Experience comprehensively securing and monitoring AWS/Azure/GCP with hands-on experience.
- Experience deploying IAM (Identity Access Management) solutions, (e.g. Okta, Auth0, Cognito)
- Experience with securing a production container ecosystem (Docker, EKS, Fargate/ECS, Kubernetes, service discovery, service registry) in a continuous delivery environment.
- Strong software engineering skills in backend systems and databases.
- B.Sc in computer science or a related field
- Intermediate or higher

Will be a plus:
- Information Security Certification - an advantage
- AWS/Azure/GCP Security Engineering, Architecting or Security Specialty certification 

Responsibilities:
- Take an active role in the configuration and maintenance of a diverse range of security tools in cloud environments
-Hands-on implementation of Information Security across multiple teams and ensuring systems are compliant with internal and regulatory security standards.
- Work multi-functionally with Research, Development, Data Engineering and DevOps teams to craft a secure cloud-based solution.
- Inject security practices into the software delivery life cycle while maintaining a rapid pace of developer productivity.
- Perform a key role in creating the best cloud platform for our core product teams, enabling them to develop and deliver the best product quality while reducing time to market.
- Develop and streamline security alerting and management tools within AWS / Azure / GCP.
- Work with other DevOps engineers and Developers to remediate findings and provide solutions.

About the project: 
Wayto AI - a new project, development from scratch. 
The mission is to make business-centric AI easy to use, safe, and accessible to everyone. 
The platform enables business users to build and run AI applications safely, quickly, and efficiently - all codeless, self-serviced.