Ukraine (Remote) / Warsaw, Poland

B.Sc in computer science or a related field.

●  5+ years of experience in DevOps engineering.

●  Expert in Kubernetes and Docker in production environments: both on-premise and

GCP.

●  Expert in modern Kubernetes-native CI/CD tools (e.g., ArgoCD, FluxCD) and GitHub.

●  Expert in modern logging and monitoring: Loki, Prometheus, Grafana.

●  Expert in infrastructure management, both on-premise and in the cloud: Ansible,

Terraform, Kubesray.

●  SQL and Nosql databases: PostgreSQL, ElasticSearch.

●  Excellent scripting using Python, Go, Bash

●  Experience comprehensively securing and monitoring GCP/AWS/Azure/ with hands-on experience.

• Competitive salary based on your experience level
• Professional and career growth opportunities
• Opportunity to work and communicate directly with the customers
• Your health support via gym compensation and vacation policy
• Free English classes twice a week in the office
• Leisure activities in the office: X-box, table tennis, cinema tickets, tea time, pizza days
• Parking zone

●  Design and implement best in class development and production (Kubernetes) environments including modern CI/CD flows.

●  Take an active role in the configuration and maintenance of logging and monitoring tools in Kubernetes clusters.

●  Take an active role in the configuration and maintenance of a diverse range of security tools in the cloud (GCP).

●  Hands-on implementation of Information Security across multiple teams and ensure systems are compliant with internal and regulatory security standards.

●  Work multi-functionally with Research, Backend, and Frontend 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.

●  Develop and streamline security alerting and management tools within the cloud (GCP).

●  Work with other DevOps engineers and Developers to remediate findings and provide solutions.

●  GCP/AWS/Azure Security Engineering, Architecting or Security Specialty certification – advantage.

●  Information Security Certification – advantage.

●  Experience deploying IAM (Identity Access Management) solutions, (e.g. Ory, Okta, Auth0, Cognito) – advantage.

●  Experience with Kubernetes in additional cloud providers: AWS/Azure/DigitalOcean – advantage.

Wand AI mission is to make business-centric AI easy to use, safe, and accessible to everyone.

• Weekly feature review meetings – via video chat.
• Weekly sprint planning / adjustment meetings – via video chat.
• Daily standup meeting (Scrum style) via video chat / text chat.
• We prefer working in weekly sprints, deploying every two weeks.