Hybrid DevOps Engineer: AI-Driven Cloud & IoT Platform

SightPlan

Phoenix (AZ)

Hybrid

USD 105,000 - 140,000

Full time

8 days ago

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Job summary

SmartRent in Phoenix, AZ seeks a DevOps Engineer to accelerate infrastructure evolution across multi-region AWS. You will implement IaC, CI/CD, and AIOps for scalable, secure services supporting smart-building and IoT ecosystems.

The role requires 2+ years in DevOps, Terraform, and containerization, with hybrid work arrangements and collaboration across security, engineering, and ops teams.

Qualifications

  • 2+ years of professional DevOps, Platform, or Cloud Engineering experience.
  • Hands-on with Infrastructure as Code (Terraform) to manage cloud resources.
  • Experience with cloud-native architectures on AWS or GCP.
  • Programming experience (Python, Go, or similar).
  • Experience with containers and orchestration (Docker, Kubernetes).
  • Collaborative mindset and strong cloud solution skills.

Responsibilities

  • Partner with engineering to design, provision, update, and maintain multi-region AWS environments using Terraform.
  • Design and maintain CI/CD workflows across environments with automated testing.
  • Support infrastructure for IoT data pipelines, analytics, and AI rollouts.
  • Implement AIOps, anomaly detection, and automated alerts using DataDog and CloudWatch.
  • Drive self-healing, auto-scaling, cost-optimization, and incident response workflows.
  • Participate in 24x7 on-call rotation and ensure high platform availability.

Skills

Terraform
AWS/GCP
Python/Go
Docker/Kubernetes
CI/CD
On-call rotation

Education

Bachelor's degree in CS/CE or related

Tools

Terraform
Docker
Kubernetes
AWS
CloudWatch/DataDog

Job description

SmartRent in Phoenix, AZ seeks a DevOps Engineer to accelerate infrastructure evolution across multi-region AWS. You will implement IaC, CI/CD, and AIOps for scalable, secure services supporting smart-building and IoT ecosystems.

The role requires 2+ years in DevOps, Terraform, and containerization, with hybrid work arrangements and collaboration across security, engineering, and ops teams.

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