Data Platform Engineer, Infrastructure (Robotics)

Location: Fully onsite in Irvine, California, United States

Company

hirify.global develops embodied AI systems and autonomous robots for construction, security, mining, and manufacturing.

What you will do

• Design, build, and operate cloud infrastructure for data-platform compute, storage, and networking.
• Manage infrastructure and data services through Terraform or similar IaC, GitOps workflows, and CI/CD.
• Provision and tune infrastructure for large-scale sensor-data processing, distributed pipelines, and ML training and evaluation.
• Own platform reliability through SLAs/SLOs, monitoring, on-call practices, incident response, and capacity planning.
• Implement IAM, access controls, secrets management, encryption, audit logging, and environment isolation.
• Build observability systems, manage cloud costs, and create internal tooling for pipeline and analytics engineers.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, or a related technical field.
• 3–5+ years of experience in infrastructure, platform, DevOps, or SRE roles, ideally supporting data-intensive systems.
• Strong experience with AWS or GCP, Kubernetes, and Terraform or similar infrastructure-as-code tools.
• Strong programming skills in Python, Go, or a similar language for automation and internal tooling.
• Experience operating production systems, including monitoring, alerting, incident response, and capacity planning.
• Working knowledge of data infrastructure, security fundamentals, and interdisciplinary collaboration.

Nice to have

• Experience supporting data or ML platforms, including Spark or Databricks clusters, GPU scheduling, or feature stores.
• Experience with high-volume telemetry or IoT/edge fleets.
• Experience with significant cloud cost optimization or building a platform from zero as an early infrastructure hire.

Culture & Benefits

• In-person collaboration in a fully onsite environment.
• Flexible hours to support work-life balance.
• Work on autonomous robotics and embodied AI systems deployed in real-world environments.
• Inclusive workplace with equal consideration based on merit, qualifications, and performance.

Hiring process

• Parts of the hiring process may use AI tools to review applications, analyze resumes, or assess responses.
• Final hiring decisions are made by people.