Senior DevOps Engineer

Location: Austin, TX (Hybrid – Local Candidates Only)
Duration: 12+ Months Contract
Work Authorization: Authorized to work in the United States
Interview Mode: In-Person Interview Required

Position Overview

We are seeking an experienced Senior DevOps Engineer to support a large-scale enterprise cloud and data modernization initiative. This role requires a highly skilled professional with deep expertise in Azure Cloud Services, Snowflake Administration, DevOps Automation, CI/CD Pipelines, and AI-enabled Data Platforms.

The ideal candidate will have extensive experience designing, implementing, and managing scalable cloud infrastructure, secure data platforms, and automated deployment pipelines. This position plays a critical role in enabling efficient software delivery, optimizing cloud performance, ensuring platform security, and supporting AI/ML integration initiatives.

Key Responsibilities

• Design, implement, and maintain enterprise DevOps solutions utilizing Azure cloud technologies.
• Develop, optimize, and manage CI/CD pipelines using Azure DevOps and Git-based workflows.
• Build and support scalable, secure, and highly available cloud infrastructure environments.
• Administer and optimize Snowflake environments, including warehouse management, performance tuning, and cost optimization.
• Implement and manage Snowflake security frameworks, including RBAC, access controls, and least-privilege models.
• Develop automation solutions and operational tooling using Python scripting.
• Deploy, manage, and monitor containerized applications using Azure Kubernetes Service (AKS).
• Build and maintain data pipelines, ETL workflows, and cloud-based integration solutions.
• Collaborate with data engineering, analytics, AI/ML, and application development teams to deliver reliable platforms and services.
• Implement monitoring, logging, alerting, and observability solutions using Azure Monitor and Log Analytics.
• Support AI/ML platform integration and deployment initiatives within enterprise cloud environments.
• Ensure compliance with security, governance, and regulatory requirements.
• Troubleshoot complex infrastructure, deployment, and performance issues across cloud and data platforms.
• Create technical documentation, operational procedures, and architecture standards.
• Participate in architecture reviews and recommend technology improvements and best practices.

Required Qualifications

• Minimum 8 years of professional experience in DevOps engineering, cloud infrastructure, and automation.
• Strong hands-on experience with:
  • Azure DevOps
  • Git
  • CI/CD pipeline implementation and administration
• Minimum 8 years of experience working with Microsoft Azure cloud services.
• Extensive Snowflake administration experience, including:
  • RBAC and security management
  • Warehouse sizing and optimization
  • Performance tuning
  • Access management and governance
• Advanced Python scripting and automation experience.
• Strong experience with containerization and orchestration technologies, preferably Azure Kubernetes Service (AKS).
• Experience developing and supporting data pipelines, ETL processes, and cloud-based data integration solutions.
• Understanding of AI/ML concepts and cloud-based AI platform integration.
• Hands-on experience with Azure Monitor, Log Analytics, centralized logging, dashboards, and alerting solutions.
• Strong knowledge of monitoring, observability, and performance management tools.
• Excellent analytical, troubleshooting, and problem-solving abilities.
• Strong verbal and written communication skills.

Preferred Qualifications

• Experience implementing AI-enabled data platforms such as Snowflake Cortex and machine learning pipelines.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM Templates, or Bicep.
• Knowledge of data security, compliance, governance, and regulatory frameworks.
• Previous experience supporting public sector, government, or large enterprise environments.
• Exposure to Snowflake AI and Cortex capabilities.
• Experience managing multiple concurrent projects and priorities in fast-paced environments.
• Strong documentation and technical communication skills.

Technical Skills

Cloud & DevOps

• Microsoft Azure
• Azure DevOps
• Git
• CI/CD Pipelines
• Infrastructure Automation

Data & Analytics

• Snowflake Administration
• Data Warehousing
• ETL Pipelines
• Data Integration

Programming & Automation

• Python
• Scripting & Automation

Containerization & Orchestration

• Docker
• Kubernetes
• Azure Kubernetes Service (AKS)

Monitoring & Security

• Azure Monitor
• Log Analytics
• Observability Tools
• RBAC
• Identity & Access Management
• Security Monitoring

AI & Machine Learning

• AI Platform Integration
• Snowflake Cortex
• Machine Learning Pipelines