Production Engineer: Scale, CI/CD & Cloud Infra (Hybrid)

Doist; Austin (TX); Hybrid; USD 190,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary

Excellent benefits

Equity awards (for certain roles)

Job summary

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

Responsibilities include end-to-end management of multi-cluster GKE, Terraform via Atlantis, and ArgoCD GitOps; driving CI/CD reliability; maintaining production and

Qualifications

• 5+ years in a Production Engineering, SRE, or Platform Engineering role at a SaaS product company.
• 3+ years of hands-on Kubernetes in production and operating at scale.
• 2+ years of IaC tooling (Terraform, Pulumi or equivalent) at real scale.
• Experience managing production databases and queues (PostgreSQL, Redis, Kafka or similar).
• Proficiency in at least one general-purpose language (Python, Go or Ruby).
• Strong monitoring and alerting fundamentals with proactive reliability engineering.

Responsibilities

• Own and evolve Placer's infrastructure end-to-end - multi-cluster GKE, Terraform via Atlantis, ArgoCD GitOps.
• Drive CI/CD pipeline reliability and developer tooling to increase release velocity.
• Manage production and development environments across multiple workloads with high availability.
• Build and maintain observability systems - dashboards, alerts, and incident response.
• Identify and resolve performance, scalability, and reliability bottlenecks before incidents.
• Collaborate with engineering teams to shape infrastructure decisions from design through deployment.
• Introduce new tools, standards, and frameworks - define the approach, not just execution.

Tools

Kubernetes

Terraform

Pulumi

ArgoCD

PostgreSQL

Redis

Kafka

Python

Go

Ruby

Job description

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

Responsibilities include end-to-end management of multi-cluster GKE, Terraform via Atlantis, and ArgoCD GitOps; driving CI/CD reliability; maintaining production and