Jobs · Engineering · Arizona

DevOps Engineer – Cloud & AI Enablement

MOGEL · Scottsdale, AZ · 1 wk ago
Engineering$170k/yrFull-time

About the role

Our client, a fast-growing technology-driven consulting firm, is seeking a DevOps Engineer to help build and scale modern infrastructure. This role is central to their transformation from traditional environments into a cloud-native, automation-first ecosystem that powers advanced analytics and AI-driven solutions. You’ll work hands-on across multi-cloud platforms (AWS, Azure, GCP) and collaborate closely with engineering, product, and AI teams.

Responsibilities

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

Requirements

  • 5+ years of DevOps, cloud engineering, or infrastructure automation experience.
  • Hands-on experience in AWS, Azure, or GCP with IaC tools (Pulumi, Terraform, or Crossplane preferred).
  • Strong coding skills in Python, Go, TypeScript, or Rust.
  • Background in managing CI/CD, Docker/Kubernetes, and cloud data platforms.
  • Familiarity with applying AI/ML to DevOps workflows (bonus).
  • Strong problem-solving and communication skills.

Qualifications

Competitive base salary + equity participation. Growth-oriented, collaborative culture with strong career development.

Skills

  • Experience with AWS, Azure, or GCP.
  • IaC tools such as Pulumi, Terraform, or Crossplane.
  • Programming languages like Python, Go, TypeScript, or Rust.
  • CI/CD, Docker/Kubernetes, and cloud data platform management.
  • Experience with AI/ML integration in DevOps workflows.

Benefits

Equal opportunity employer. No relocation assistance provided.

Pay

$170,000

Schedule

In-office role

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