Senior DevOps & AI Data Engineer (Azure/Snowflake) Hybrid

Sistema Technologies Inc.; Austin (TX); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Sistema Technologies Inc. is seeking a Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration. You will build scalable data and AI pipelines, ensure secure deployments, and collaborate with cross-functional teams to deliver reliable cloud and data solutions.

3 days remote with 2 onsite days (Mondays and Wednesdays). Local candidates only. Strong CI/CD, Python automation, and monitoring skills are required to succeed in this role.

Qualifications

• 8+ years of DevOps experience with Azure cloud, CI/CD pipelines, and automation.
• Strong Snowflake administration skills, including RBAC and performance tuning.
• Proficiency in Python scripting for automation and data tasks.
• Experience with containerization technologies and AKS.
• Knowledge of data pipelines, ETL processes, and cloud data integration.
• Understanding of AI/ML concepts and platform integration.
• Familiarity with Azure Monitoring, logging, dashboards, and security monitoring.

Responsibilities

• Design, implement, and maintain scalable data and AI pipelines in Azure.
• Ensure secure, reliable cloud deployment with RBAC governance.
• Collaborate with cross-functional teams to deliver data solutions.
• Monitor performance, logs, and alerts; optimize CI/CD and automation.
• Provide end-to-end DevOps support for production environments.

Skills

DevOps practices

Azure DevOps

Git

CI/CD pipelines

Azure

Snowflake administration

Python scripting

Containerization

AKS

Data pipelines

ETL

AI/ML concepts

Azure Monitoring

Logging and observability

Tools

Azure DevOps

Snowflake

Python

Docker

Kubernetes

RBAC / security tooling

Job description

Sistema Technologies Inc. is seeking a Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration. You will build scalable data and AI pipelines, ensure secure deployments, and collaborate with cross-functional teams to deliver reliable cloud and data solutions.

3 days remote with 2 onsite days (Mondays and Wednesdays). Local candidates only. Strong CI/CD, Python automation, and monitoring skills are required to succeed in this role.