Production Engineer

Placer.ai•Austin, TX

1d•$190,000 - $210,000•Hybrid

About The Position

We're looking for a Production Engineer to own the infrastructure behind one of the world's largest location analytics platforms - from CI/CD pipelines and cloud environments to developer tooling and observability. This is a hands-on, end-to-end ownership role at the intersection of scale, reliability, and engineering velocity.

Requirements

5+ years in a Production Engineering, SRE, or Platform Engineering role at a SaaS product company
3+ years of hands-on Kubernetes in production - not just deployment, but operating and scaling it
2+ years with IaC tools - Terraform, Pulumi, or equivalent at real scale
Experience managing production databases and queues - PostgreSQL, Redis, Kafka, or similar
Strong monitoring and alerting fundamentals - you build the systems that catch problems before users do

Nice To Haves

GCP experience - this is our primary cloud
CKA certification or deep Kubernetes ecosystem knowledge - CNIs, service meshes, operators, ingresses
Experience with RabbitMQ or Kafka at scale
Familiarity with GitOps workflows - ArgoCD or equivalent

Responsibilities

Own and evolve Placer's GCP infrastructure end-to-end - multi-cluster GKE, Terraform via Atlantis, ArgoCD GitOps
Drive CI/CD pipeline reliability and developer tooling - reduce friction, increase release velocity
Manage production and development environments across multiple workloads with high availability requirements
Build and maintain observability systems - dashboards, alerting, and incident response that keep the team ahead of failures
Identify and resolve performance, scalability, and reliability bottlenecks before they become incidents
Collaborate directly with engineering teams to shape infrastructure decisions from design through deployment
Introduce new tools, standards, and frameworks - you define the approach, not just execute it