Senior SRE: AI-Driven Performance & FinOps Engineer

Wayfair

Boston (MA)

On-site

USD 140,000 - 220,000

Full time

14 days+

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Job summary

Wayfair is seeking a Senior FinOps & TCVM Engineer to optimize cloud and AI investments across GCP and SaaS platforms. You will map costs to infrastructure, build AI-assisted cost tools, and work with SREs to embed cost awareness into pipelines.

You’ll collaborate with AI tooling teams, implement canary and guardrail strategies, and measure cost-efficiency against throughput and reliability, ensuring safe, scalable cost optimization.

Qualifications

  • 5+ years in SRE, Production Engineering, or related fields managing large-scale environments.
  • Hands-on GCP experience with GKE, BigQuery, and cost tuning.
  • Proficiency with Terraform, Helm, and automated deployment pipelines.
  • Experience with APM, tracing, and defining SLOs/SLIs.

Responsibilities

  • Architect telemetry & dependency mapping across services and infra to tie costs to SLOs.
  • Profile and monitor system performance, latency, and error rates before/after optimizations.
  • Collaborate with architects and platform teams to maintain dependency graphs and ownership matrices.
  • Develop AI-assisted cost optimization playbooks and validate PRs generated by Devin/Cursor.
  • Build sandbox tools to test resource advisories against application SLOs and guardrails.

Skills

SRE & production
GCP & cloud-native
Terraform & CI/CD
Observability & profiling
Automation & scripting
AI tool fluency
FinOps fundamentals

Education

Bachelor's degree in CS or related field

Tools

Terraform
Helm
GitHub Actions
Buildkite
Jenkins
OpenTelemetry
Datadog

Job description

Wayfair is seeking a Senior FinOps & TCVM Engineer to optimize cloud and AI investments across GCP and SaaS platforms. You will map costs to infrastructure, build AI-assisted cost tools, and work with SREs to embed cost awareness into pipelines.

You’ll collaborate with AI tooling teams, implement canary and guardrail strategies, and measure cost-efficiency against throughput and reliability, ensuring safe, scalable cost optimization.

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