Senior DevOps Engineer (Systems Analyst III) 26-06932

Location: Austin Texas
Work Arrangement: Hybrid (3 Days Remote / 2 Days Onsite)
Onsite Requirement: Mondays & Wednesdays
Contract Duration: 12 Months
Position Overview

We are seeking an experienced Senior DevOps Engineer to support enterprise cloud data and AI initiatives. This role is responsible for designing implementing and maintaining scalable secure and automated cloud environments CI/CD pipelines data platforms and AI-enabled solutions.

The ideal candidate will possess deep expertise in Azure cloud technologies Snowflake administration DevOps automation container orchestration Python scripting and modern data engineering practices.

• Hybrid Work Schedule
• 3 Days Remote
• 2 Days Onsite (Mondays and Wednesdays)
• Austin Texas
• Local Austin-area candidates only
• Must currently reside in Texas
• In-person interview required

• Design implement and maintain enterprise DevOps practices and processes.
• Build and manage CI/CD pipelines supporting cloud and data platforms.
• Automate deployment monitoring testing and operational workflows.
• Support application and infrastructure lifecycle management.

• Architect and administer Microsoft Azure environments.
• Manage cloud infrastructure services networking and security controls.
• Optimize cloud performance scalability reliability and cost efficiency.
• Implement Azure governance and operational best practices.

• Administer enterprise Snowflake environments.
• Manage role-based access control (RBAC) and security policies.
• Implement least-privilege access models.
• Perform performance tuning and warehouse optimization.
• Monitor platform health usage and resource consumption.

• Design and support cloud-based data pipelines and ETL processes.
• Enable secure movement and integration of enterprise data assets.
• Support analytics reporting and AI initiatives through optimized data architectures.
• Collaborate with data engineering teams to improve data reliability and performance.

• Support integration of AI and machine learning platforms within cloud environments.
• Assist with deployment and operationalization of AI-enabled data solutions.
• Contribute to AI pipeline automation and monitoring.
• Support emerging AI technologies and cloud-native AI services.

• Deploy and manage containerized applications.
• Support Kubernetes-based environments with emphasis on Azure Kubernetes Service (AKS).
• Optimize container performance scalability and reliability.

• Implement monitoring alerting and observability solutions.
• Manage Azure Monitor and Log Analytics environments.
• Develop dashboards logging strategies and operational metrics.
• Support security monitoring through audit logs and telemetry analysis.

• Implement cloud security best practices.
• Support RBAC compliance controls and governance frameworks.
• Ensure secure deployment processes and data protection standards.
• Participate in risk mitigation and operational security initiatives.

• Partner with infrastructure development analytics AI and business teams.
• Provide technical leadership and best-practice guidance.
• Create and maintain technical documentation and operational runbooks.
• Support multiple enterprise initiatives simultaneously.

• 8 years of experience with:
  • Azure DevOps
  • Git
  • CI/CD Pipeline Development
• 8 years of hands-on Microsoft Azure cloud experience.
• 8 years of Snowflake administration experience including:
  • RBAC and security administration
  • Access management
  • Warehouse management
  • Performance tuning
• 8 years of Python scripting and automation experience.
• 8 years of containerization and orchestration experience (AKS preferred).
• 8 years working with:
  • Data pipelines
  • ETL processes
  • Cloud data integration
• 8 years supporting AI/ML platform integration.
• 8 years with:
  • Azure Monitor
  • Log Analytics
  • Centralized logging
  • Alerting and dashboarding
  • Security monitoring
• Strong experience with observability monitoring and operational support tools.

• Experience implementing Infrastructure as Code (IaC).
• Knowledge of cloud governance and enterprise architecture principles.

• Experience with AI-enabled data platforms.
• Experience with:
  • Snowflake Cortex
  • Snowflake AI features
  • Machine Learning pipelines

• Knowledge of:
  • Data security frameworks
  • Compliance standards
  • Governance best practices

• Public sector experience preferred.
• Large enterprise environment experience preferred.

• Azure DevOps
• Microsoft Azure
• Snowflake Administration
• Python
• Git
• CI/CD Pipelines
• AKS (Azure Kubernetes Service)
• Kubernetes
• Containerization
• ETL Development
• Data Pipelines
• Azure Monitor
• Log Analytics
• RBAC
• Cloud Security
• AI/ML Platform Integration
• Infrastructure as Code
• Observability & Monitoring

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