About The Position

As a member of the infrastructure team you are responsible for designing, building, and advancing our core infrastructure that allows the engineering team to execute quickly, productively, and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

Requirements

  • 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
  • Deep proficiency with coding languages such as Golang or Python.
  • Deep familiarity with container-related security best practices.
  • Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns.
  • Production experience with Kubernetes templating tools such as Helm or Kustomize.
  • Production experience with IAC tools such as Terraform or CloudFormation.
  • Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
  • Production experience with database software such as PostgreSQL
  • Experience with GitOps tooling such as Flux or Argo.
  • Experience with CI/CD such as GitHub Actions.

Nice To Haves

  • Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
  • Experience with GPU-enabled clusters is a bonus.

Responsibilities

  • Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
  • Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
  • Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
  • Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
  • Automate operations and engineering. Focus on automation so we can spend energy where it matters.
  • Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

Benefits

  • We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
  • Paid parental leave to support you and your family
  • Monthly Health & Wellness allowance
  • Work from home office stipend to help you succeed in a remote environment
  • Lunch reimbursement for in-office employees
  • PTO: 3 weeks in Canada
  • Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details.
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