Job Url: https://ats.rippling.com/pdq/jobs/d1b02e6a-23c1-460d-a894-cf0a9defd02c?jobSite=LinkedIn

Job Description: Job Description:

Before you apply, please note
This is a remote role open to candidates residing in any of PDQ's open states (see below for a list).
PDQ makes device management simple, secure, and pretty damn quick. As a Staff DevOps Engineer, you’ll be a hands-on technical leader who architects and scales the infrastructure that powers our SaaS products. You will drive the design of resilient, secure, and cost-optimized systems while making life easier for every engineer at PDQ. You’ll set the bar for how we build and ship software: hardening GCP environments, evolving CI/CD pipelines, operationalizing AI-assisted tooling, and mentoring engineers across teams. This is a high-impact role where you’ll collaborate across product lines, guide strategic platform decisions, and ensure our teams can deliver quickly and safely at scale.



What you'll be doing:



Scale & Reliability

Architect and manage GCP production environments across multiple regions, ensuring resilience, scalability, and security
Partner with DBAs, SREs, and senior engineers to lead scalability and reliability initiatives for PDQ Connect
Design for future multi-tenancy, regional data isolation, and compliance-readiness for frameworks like FedRAMP and GDPR
Security & Compliance

Own secure infrastructure provisioning, secrets management, IAM access controls, and runtime policies
Harden GCP infrastructure to reduce the blast radius of misconfigurations and bad deploys
Integrate SAST, SCA, SBOM, and CSPM tooling into the SDLC and production systems in collaboration with InfoSec and GRC
Developer Experience & Productivity

Improve the local development loop, test harnesses, and environment consistency across environments
Deliver efficient, reliable CI/CD pipelines across dev, test, and prod
Integrate and operationalize AI-assisted developer tools to enhance engineering productivity across the SDLC
Codify infrastructure and service patterns into reusable Terraform modules, shared libraries, and documentation