Staff Infrastructure Software Engineer (Kubernetes)

TL;DR

Staff Infrastructure Software Engineer (Kubernetes): Designing, building, and advancing core infrastructure for multi-cloud Kubernetes clusters and developer tools with an accent on reliability, security, and automation. Focus on metrics/logging/alerting, infrastructure-as-code deployments, and machine learning infrastructure for large-scale AI datasets.

Location: Germany (Remote)

Company

AI platform combining human intelligence and AI to unlock customer insights in contact centers, backed by top investors like Andreessen Horowitz and Sequoia.

What you will do

• Build developer toolchain and deployment infrastructure to empower engineering workflows.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Implement metrics, logging, analytics, and alerting for performance and security.
• Develop infrastructure-as-code tooling and services across cloud providers.
• Automate operations and engineering processes.
• Build machine learning infrastructure for AI teams to train, test, and deploy on large datasets.

Requirements

• 5+ years in DevOps, SRE, Production Engineering or equivalent
• Deep proficiency with Golang or Python
• Deep familiarity with container-related security best practices
• Production experience with Kubernetes ecosystem (cert-manager, external-dns), Helm/Kustomize
• Production experience with IAC tools (Terraform, CloudFormation)
• Production experience with AWS (IAM, S3, EC2, EKS), PostgreSQL, GitOps (Flux/Argo), CI/CD (GitHub Actions)

Nice to have

• GPU-enabled Kubernetes clusters
• Experience with Google Cloud and Azure

Culture & Benefits

• Collaborative yet autonomous environment with clear roles and freedom for interesting projects
• Paid parental leave
• Monthly Health & Wellness allowance
• 28 days PTO in Berlin
• Equity and variety of benefits