Cloud-Native DevOps Engineer for AI-Driven Infra

MOGEL; Scottsdale (AZ); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Job summary

MOGEL is a fast-growing technology-driven consulting firm seeking a DevOps Engineer to build and scale modern infrastructure across AWS, Azure, and GCP. The role supports the transformation to a cloud-native, automation-first ecosystem powering AI-enabled analytics and operations.

You will work hands-on with engineering, product, and AI teams to design cloud-native systems, implement IaC, CI/CD, and container orchestration, and advance best practices for reliability and cost efficiency.

Qualifications

• 5+ years in DevOps, cloud engineering, or infra automation.
• Hands-on with multi-cloud (AWS/Azure/GCP) and IaC.
• Proficient in Python, Go, TypeScript, or Rust.
• Experience with CI/CD, Docker/Kubernetes, and cloud data platforms.
• Familiarity with applying AI/ML to DevOps workflows is a plus.

Responsibilities

• Design cloud-native infrastructure using IaC.
• Build and manage CI/CD pipelines and container orchestration.
• Partner with data teams to optimize cloud data platforms for performance, cost, and security.
• Develop automation scripts (Python, Go, TypeScript, or Rust).
• Integrate AI/LLM technologies into operational workflows (alerting, auto-remediation, documentation).
• Improve system reliability, scalability, and developer experience.
• Contribute to internal DevOps standards and reusable modules.

Skills

DevOps experience

Cloud platforms

IaC tooling

Python

Go

TypeScript

Rust

Docker/Kubernetes

Automation scripting

Tools

Pulumi

Terraform

Crossplane

Docker

Kubernetes

CI/CD tooling

Job description

MOGEL is a fast-growing technology-driven consulting firm seeking a DevOps Engineer to build and scale modern infrastructure across AWS, Azure, and GCP. The role supports the transformation to a cloud-native, automation-first ecosystem powering AI-enabled analytics and operations.

You will work hands-on with engineering, product, and AI teams to design cloud-native systems, implement IaC, CI/CD, and container orchestration, and advance best practices for reliability and cost efficiency.