DevOps Engineer – Cloud Transformation & AI Enablement

Equity Methods; Scottsdale (AZ); On-site; USD 100,000 - 130,000; Full time

Job summary

Equity Methods is looking for a DevOps Engineer in Scottsdale, Arizona, to drive the transformation of their data center to a cloud-native environment. This role involves working across AWS, Azure, and GCP to implement infrastructure powered by automation and modern DevOps practices.

The successful candidate will have strong experience in DevOps and scripting in languages like Python or TypeScript, and will help integrate AI technologies into CI/CD workflows.

Qualifications

• 5+ years of experience in DevOps, cloud engineering, or infrastructure automation.
• Hands-on experience with Crossplane and Pulumi in at least one cloud environment (preferably AWS).
• Proficiency in Python, TypeScript, Go, or Rust for scripting and automation.
• Experience managing and optimizing Snowflake environments.
• Familiarity with integrating LLMs into DevOps workflows or operational tooling.
• Deep understanding of CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code.
• Excellent problem-solving and communication skills.

Responsibilities

• Lead the design and implementation of cloud-native infrastructure across AWS, Azure, and GCP.
• Build and maintain infrastructure-as-code pipelines for scalable deployment.
• Collaborate with data engineering and analytics teams on Snowflake environments.
• Develop automation scripts for provisioning, monitoring, and remediation.
• Integrate LLM technologies into operational workflows.
• Partner with software engineers for deploy and observability of applications.
• Implement and manage CI/CD pipelines and secrets management.
• Drive continuous improvement in system reliability and performance.

Skills

DevOps practices

Cloud engineering

Infrastructure automation

Python

TypeScript

Go

Rust

Crossplane

Pulumi

CI/CD

Docker

Kubernetes

Snowflake

Job description

DevOps Engineer – Cloud Transformation & AI Enablement

Equity Methods is seeking a forward‑thinking DevOps Engineer to lead the transformation of our data center infrastructure to a lean, cloud‑native environment powered by automation, AI, and modern DevOps practices. You’ll work across multi‑cloud environments using Crossplane and Pulumi (preferably AWS) to build scalable, secure, and observable infrastructure, and collaborate with AI and product teams to integrate LLM technologies into our CI/CD pipelines and operational workflows.

Role in a Nutshell

• Lead the design and implementation of cloud‑native infrastructure across AWS, Azure, and GCP using Crossplane and Pulumi.
• Build and maintain infrastructure‑as‑code pipelines to support scalable deployment of applications and data services.
• Collaborate with data engineering and analytics teams to optimize Snowflake environments for performance, cost, and security.
• Develop automation scripts and services using Python, TypeScript, Go, or Rust to support infrastructure provisioning, monitoring, and remediation.
• Integrate LLM technologies into operational workflows (intelligent alerting, auto‑remediation, documentation generation).
• Partner with software engineers and product managers to ensure seamless deployment and observability of web and mobile applications.
• Implement and manage CI/CD pipelines, container orchestration, and secrets management across environments.
• Drive continuous improvement in system reliability, performance, and developer experience.
• Contribute to the development of internal DevOps standards, reusable modules, and best practices.

Qualifications & Requirements

• 5+ years of experience in DevOps, cloud engineering, or infrastructure automation.
• Hands‑on experience with Crossplane and Pulumi in at least one cloud environment (preferably AWS).
• Proficiency in Python, TypeScript, Go, or Rust for scripting and automation.
• Experience managing and optimizing Snowflake environments.
• Familiarity with integrating LLMs into DevOps workflows or operational tooling.
• Deep understanding of CI/CD, containerization (Docker/Kubernetes), and infrastructure‑as‑code.
• Exposure to web and mobile application deployment pipelines.
• Excellent problem‑solving and communication skills.
• Background check required.