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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 on the lookout for a skilled DevOps Software Engineer, ideally 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 using Go, alongside practical experience in CI/CD infrastructure-as-code utilizing 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 customer-related challenges.
  • Proficiency with GitOps tools and practices is critical for enhancing deployment processes and maintaining consistent infrastructure management.
  • Experience in observability using Grafana and Prometheus for monitoring, alerting, and logging is required.
  • Strong communication skills and a commitment to ongoing improvement are vital attributes.
  • Location Requirement: Candidates should be prepared to work in proximity to our offices, allowing for flexible in-office attendance as needed.

About the Work Environment:

This position not only offers a professional opportunity but also the chance to thrive in a picturesque location, surrounded by nature, with access to clean air and water. Candidates should be willing to relocate within a reasonable distance to facilitate in-office collaboration.

Essential Qualifications:

  • With over five years of experience, candidates should excel in the following areas:
  • Proficiency in Javascript / Typescript / Python with dbt
  • Experience with automated testing frameworks
  • CI/CD pipeline management with GitOps, particularly in deploying monorepos
  • Familiarity with tools such as Helm charts, CDK, and other GitOps resources
  • Knowledge of AWS Cloud, Linux, and Networking
  • Hands-on experience with Kubernetes
  • Solid grasp of AWS services and tools
  • Experience with SQL and NoSQL databases
  • Understanding of APIs: REST, gRPC, Sockets, Web Sockets
  • Cloud Security expertise
  • Excellent proficiency in written and spoken English
  • Familiarity with automated testing tools like Mocha or Playwright
  • A degree in Computer Science or a related discipline

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