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Jobs/Software Engineer Role/Staff Infrastructure Software Engineer (Kubernetes)

Staff Infrastructure Software Engineer (Kubernetes)

CrestaRemote - Germany (Remote)+ Equity2w ago
RemoteSeniorEMEACloud ComputingArtificial IntelligenceSoftware EngineerInfrastructure EngineerStaff EngineerPythonKubernetesHelmKustomizeTerraform

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

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. • Ensure reliability • Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. • Metrics, logging, analytics, and alerting • Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers. • Infrastructure-as-code • Automate operations and engineering. Focus on automation so we can spend energy where it matters. • Automate operations and engineering • Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets. • Building machine learning infrastructure

Benefits

• Paid parental leave to support you and your family • Monthly Health & Wellness allowance • PTO: 28 days in Berlin • 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. • We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [email protected]

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