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

Job Description: 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
Observability & Operations

Enable observability, monitoring, and alerting across all cloud environments to support proactive operations
Implement cloud cost observability and continuously optimize infrastructure spend as we scale
Technical Leadership & Mentorship

Mentor engineers through code reviews, architectural guidance, and technical pairing
Drive internal technical enablement through platform-focused talks, documentation, and hands-on workshops
We're looking for people who have:



Must-Haves

10+ years of platform/DevOps engineering experience, including 3+ years in a Staff or leadership role at a SaaS company
7+ years of hands-on GCP and Kubernetes experience
Proven ability to scale and cost-optimize infrastructure in a product-led growth SaaS environment
Demonstrated ownership of the full lifecycle: architecting, building, testing, deploying, securing, and operating cloud-native products in GCP
Experience working in distributed teams across multiple time zones
Track record of adopting and deploying new technologies, frameworks, and architectures
Familiarity with applying AI in engineering or operational contexts
Excellent collaboration and communication skills across technical and non-technical audiences
Comfortable working in agile, kanban, or shape-up delivery models