- Company Name
- MOGEL
- Job Title
- DevOps Engineer – Cloud & AI Enablement
- Job Description
-
**Job Title**
DevOps Engineer – Cloud & AI Enablement
**Role Summary**
Design, deploy, and manage cloud‑native infrastructure across AWS, Azure, and GCP, driving automation‑first practices and integrating AI/LLM solutions to enhance operational efficiency and system reliability.
**Expections**
- Minimum 5 years of DevOps, cloud engineering, or infrastructure automation experience.
- Proven expertise in multi‑cloud environments (AWS, Azure, GCP).
- Strong coding skills in Python, Go, TypeScript, or Rust.
- Hands‑on experience with IaC, CI/CD, container orchestration, and cloud data platforms.
- Capacity to apply AI/ML techniques to DevOps workflows.
- Excellent problem‑solving and communication abilities.
**Key Responsibilities**
- Architect and implement IaC solutions using Pulumi, Terraform, or Crossplane.
- Build, maintain, and optimize CI/CD pipelines for code, containers, and infrastructure.
- Deploy and manage Kubernetes clusters, Docker, and secrets management.
- Collaborate with data and analytics teams to tune cloud data platforms for performance, cost, and security.
- Develop automation scripts and services (Python/Go/TypeScript) for monitoring, auto‑remediation, and documentation.
- Integrate AI/LLM technologies into operations (alerting, remediation, knowledge bases).
- Enhance system reliability, scalability, and developer experience.
- Contribute to internal DevOps standards, reusable modules, and best‑practice documentation.
**Required Skills**
- Infrastructure‑as‑Code (Pulumi, Terraform, Crossplane).
- Cloud Platforms (AWS, Azure, GCP).
- Programming (Python, Go, TypeScript, Rust).
- CI/CD tooling (GitHub Actions, GitLab CI, Jenkins).
- Containerization & Orchestration (Docker, Kubernetes).
- Secrets & Configuration Management (Vault, Key Management Services).
- Cloud Data Platform operations (Lakehouse, BigQuery, Redshift, Synapse).
- AI/ML integration fundamentals.
- Strong analytical, problem‑solving, and communication skills.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
- Preferred certifications: AWS Certified Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect, or Terraform Associate.
Scottsdale, United states
On site
Mid level
31-12-2025