DevOps Engineer

SmartRent • Phoenix, AZ

8h • Hybrid

About The Position

SmartRent is seeking a DevOps Engineer to help advance its infrastructure. The role bridges traditional cloud infrastructure and AI enablement, collaborating with software development, operations, and security teams to build scalable, secure, and resilient solutions. The engineer will apply infrastructure automation, deployment strategies, and AIOps to support high availability and ongoing innovation across SmartRent’s smart-building and IoT ecosystem. Candidates must be based in Phoenix, Arizona, and be willing to work a hybrid schedule.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
• At least 2 years of professional DevOps, Platform, or Cloud Engineering experience.
• At least 2 years of experience using Terraform for Infrastructure as Code to manage cloud resources.
• Strong understanding of cloud-native architecture principles on AWS, GCP, or other cloud computing platforms.
• Hands-on programming experience with Python, Go, or similar functional or object-oriented languages.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Collaborative mindset and strong cloud-solutions-building skills.
• Phoenix, Arizona-based; must be willing to work a hybrid schedule.

Nice To Haves

• Advanced experience maintaining and automating Terraform module libraries for declarative infrastructure deployments.
• Deep background building, securing, and maintaining automated CI/CD pipelines.
• Hands-on experience with AIOps, predictive analytics, and automated telemetry tracking.

Responsibilities

• Partner with engineering teams to design, provision, update, and maintain multi-region AWS environments using Terraform to support microservices and business growth.
• Own and maintain the Terraform module library.
• Design, build, and maintain CI/CD workflows across multiple environments, incorporating continuous feedback and automated testing.
• Support infrastructure for smart-building data pipelines, IoT telemetry, and AI/LLM-powered feature rollouts.
• Implement AIOps, predictive analytics, anomaly detection, and automated alert responses using DataDog Logs, Metrics, and APM, as well as CloudWatch, to optimize performance, observability, and uptime.
• Drive self-healing infrastructure, intelligent auto-scaling, cost optimization, and automated incident-response workflows; apply best practices for secure, observable, scalable services.
• Participate in a 24x7 on-call rotation, handle incident escalations, troubleshoot outages, and help ensure high platform availability.
• Perform other duties as required.

Benefits

• Medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions for US employees.
• Flexible and generous paid time off.
• 401(k) with employer contributions.
• Paid parental leave.
• Discounted pet insurance and legal services.
• Employee stock purchase plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level