Staff Platform Engineer: AI-Driven Cloud & Kubernetes

Signifyd; Oregon; Hybrid; USD 190,000 - 215,000; Full time

Benefits offered by this job

401K Match

Stock Options

Annual Performance Bonus or Comissions

Paid Parental Leave

Health Insurance

Dental Insurance

Vision Insurance

Flexible Spending Account (FSA)

Discretionary Time Off

Job summary

Signifyd seeks a Staff Software Engineer I for Platform Engineering to set the technical vision for enterprise cloud infrastructure, driving automation, scaling, and security across teams. You will partner with engineering leaders to shape how Signifyd builds, automates, and scales its platform, including AI-assisted tooling.

You will own the multi-quarter roadmap for GCP and Kubernetes, define SLOs, and drive secure, cost-aware operations at scale while mentoring engineers to elevate DevEx.

Qualifications

• Experience with Google Cloud Platform (GCP); AWS a plus.
• Extensive Kubernetes experience at scale and across teams.
• Proficiency in Python/Go/Java/TypeScript for backend and tooling.
• IaC and CI/CD with Terraform, ArgoCD, GitHub Actions, and TeamCity.

Responsibilities

• Set technical vision and long-term strategy for Signifyd's enterprise cloud infrastructure.
• Define how Signifyd automates, scales, and secures the computing environment behind the core decision platform.
• Lead cross-team directions and mentor engineers to improve platform tooling.

Skills

GCP

Kubernetes

Python

Go

Java

TypeScript

Terraform

GitOps

AI tooling

OpenTelemetry

Tools

Kubernetes

Terraform

ArgoCD

GitHub Actions

TeamCity

OpenTelemetry

Job description

Signifyd seeks a Staff Software Engineer I for Platform Engineering to set the technical vision for enterprise cloud infrastructure, driving automation, scaling, and security across teams. You will partner with engineering leaders to shape how Signifyd builds, automates, and scales its platform, including AI-assisted tooling.

You will own the multi-quarter roadmap for GCP and Kubernetes, define SLOs, and drive secure, cost-aware operations at scale while mentoring engineers to elevate DevEx.