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Cloud Infrastructure Engineer

3 months ago

Collingwood, Ontario, Canada Liquid Analytics Full time

Position Overview: DevOps Software Engineer

Enhance operational efficiency and decision-making through advanced data analysis powered by GenAI.

  • Liquid Analytics is in search of a skilled DevOps Software Engineer holding a degree in Computer Science and possessing a minimum of 5 years of relevant experience.
  • The successful candidate will demonstrate expertise in developing automation solutions and Kubernetes operators utilizing Go, along with practical experience in CI/CD infrastructure-as-code employing Python, TypeScript, JavaScript, AWS CDK, Helm charts, and GitOps methodologies.
  • A comprehensive understanding of AWS services, networking principles, Kubernetes, cloud security, and ARM/x86 architecture is essential for this role.
  • The responsibilities include ensuring continuous cloud product stability, optimizing resource usage, and effectively resolving client concerns.
  • Proficiency with GitOps tools and practices is vital for enhancing deployment processes and maintaining consistent infrastructure management.
  • Experience in observability tools such as Grafana and Prometheus for monitoring, alerting, and logging is required.
  • Strong communication skills and a commitment to ongoing improvement are critical.
  • Location Requirement: Candidates should be able to work from our offices as needed.

About the Role:

This position is more than just a job; it offers an opportunity to thrive in a community surrounded by nature, providing a healthy environment with clean air and water. Candidates should be prepared to relocate within a reasonable distance to the office.

Key Qualifications:

  • With over five years of experience, you will excel in the following areas:
  • Proficiency in Javascript / Typescript / Python with dbt
  • Experience with automated testing frameworks
  • CI/CD pipeline management with GitOps experience in deploying monorepos
  • Familiarity with Helm charts, CDK, and other GitOps tools
  • Knowledge of AWS Cloud, Linux, and Networking
  • Expertise in Kubernetes
  • Solid understanding of AWS services and tools
  • Experience with SQL and NoSQL databases
  • Familiarity with APIs: REST, gRPC, Sockets, Web Sockets
  • Understanding of Cloud Security
  • Excellent written and verbal communication skills in English
  • Experience with Mocha or similar automated testing tools, such as Playwright
  • A degree in Computer Science or a related discipline

Become a part of Liquid Analytics and contribute to creating outstanding experiences for the modern data landscape.