DevOps Engineer – Cloud Transformation & AI Enablement

Equity Methods • Scottsdale, AZ

148d

About The Position

Equity Methods is seeking a forward-thinking DevOps Engineer to join our Technology and Innovation group. This role is central to our transformation from traditional 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 in AWS) to build scalable, secure, and observable infrastructure. You’ll also collaborate with AI and product teams to integrate LLM technologies into our CI/CD pipelines and operational workflows. This is a hands-on engineering role. Candidates should expect to write and review code during the interview process to demonstrate their technical depth and problem-solving approach.

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.

Responsibilities

• Lead the design and implementation of cloud-native infrastructure across AWS, Azure, and GCP using Crossplane and Pulumi.
• Build and maintain infrastructure-as-code (IaC) 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 (e.g., 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees