Staff Backend Engineer, Developer Productivity

Tapestry

Mountain View (CA)

On-site

USD 207,000 - 290,000

Full time

8 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Generous PTO
Flexible hybrid work model
401(k)

Job summary

Tapestry is seeking a Staff Backend Software Engineer to co-anchor the technical direction of Infrastructure and Developer Productivity at Mountain View (HQ). You will help design and scale our multi-tenant cloud platform, build secure, self-service tooling, and automate delivery pipelines for rapid, safe software delivery.

You will collaborate with another Tech Lead and Engineering Manager to set a multi-year roadmap, enabling AI workflows and large-scale simulations while maintaining

Qualifications

  • 8+ years of production experience in Infrastructure, SRE, DevOps, or Platform Engineering.
  • 2+ years serving as Tech Lead or Staff Engineer directing roadmaps and architecture.
  • Advanced Kubernetes, multi-tenant cloud architectures, and IaC tooling.
  • Experience building large-scale, automated CI/CD pipelines for internal platforms.

Responsibilities

  • Architect and operate scalable Kubernetes clusters on GCP for multi-tenant workloads.
  • Design fast, automated build, test, and release pipelines with self-service environments.
  • Drive infrastructure as code and security with policy checks and secret management.
  • Mentor engineers and lead design reviews to raise technical standards.

Skills

Infrastructure
SRE
DevOps
Platform Engineering

Tools

Kubernetes (GKE)
Terraform
Pulumi
GitHub Actions
Argo Workflows
Bazel

Job description

Tapestry is seeking a Staff Backend Software Engineer to co-anchor the technical direction of Infrastructure and Developer Productivity at Mountain View (HQ). You will help design and scale our multi-tenant cloud platform, build secure, self-service tooling, and automate delivery pipelines for rapid, safe software delivery.

You will collaborate with another Tech Lead and Engineering Manager to set a multi-year roadmap, enabling AI workflows and large-scale simulations while maintaining

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