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