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Senior Infrastructure Engineer

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Onsite

Senior Infrastructure Engineer

Cresta

Senior Infrastructure Engineer

Skills

Google Cloud PlatformPythonGolangPostgreSQLAmazon EC2Data AnalysisMachine LearningAIAWSGitHubKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$205,000 – $270,000 / year

Location:

United States

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • 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
  • Developer Toolchain. You’ll 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

  • Weekly lunch & learn
  • Work with an A+ team of ex-Founders, world leading scientists, and nationally competitive athletes
  • Mentorship - A world class mentorship board advises and mentors our team-members to capture the opportunity ahead of us- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field
  • 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. Experience with GPU-enabled clusters is a bonus
  • Production experience with database software such as PostgreSQL
  • Production experience with Kubernetes templating tools such as Helm or Kustomize
  • Deep proficiency with coding languages such as Golang or Python
  • Experience with GitOps tooling such as Flux or Argo
  • Experience with CI/CD such as GitHub Actions
  • Production experience with other cloud providers such as Google Cloud and Azure is a bonus
  • Production experience with IAC tools such as Terraform or CloudFormation
  • Production experience working with AWS and services such as IAM, S3, EC2, and EKS
  • Deep familiarity with container-related security best practices

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