Senior DevOps Engineer / Systems Analyst 3

Job Title: Senior DevOps Engineer / Systems Analyst 3

Location: Austin, Texas (Hybrid - 2 Days Onsite, 3 Days Remote)

Duration: 12 Months Contract (Potential Extensions)

Solicitation ID: 529701739

Position Overview

The Client is seeking an experienced Senior DevOps Engineer / Systems Analyst 3 to support enterprise cloud, data, and AI platform initiatives. The ideal candidate will possess deep expertise in Azure cloud technologies, DevOps automation, Snowflake administration, CI/CD pipelines, and AI-enabled data platform integration.

This role will be responsible for designing, implementing, and maintaining scalable, secure, and highly available cloud infrastructure and data solutions while collaborating with cross-functional teams to support enterprise modernization initiatives.

Key Responsibilities

• Design, implement, and maintain Azure-based cloud infrastructure and DevOps solutions.
• Build and manage CI/CD pipelines using Azure DevOps and Git-based workflows.
• Administer and optimize Snowflake environments, including RBAC, security, performance tuning, and warehouse management.
• Develop Python-based automation scripts for infrastructure, deployment, and data engineering processes.
• Support containerized applications and orchestration platforms, including Azure Kubernetes Service (AKS).
• Design and maintain scalable data pipelines, ETL processes, and cloud data integration solutions.
• Integrate AI/ML capabilities into cloud and data platforms.
• Implement monitoring, logging, observability, and alerting solutions using Azure Monitor and Log Analytics.
• Collaborate with development, data engineering, security, and infrastructure teams to ensure reliable system operations.
• Establish governance, security, compliance, and best practices across cloud environments.
• Troubleshoot and resolve infrastructure, deployment, and performance issues.
• Create technical documentation, deployment procedures, and operational runbooks.

Required Qualifications

• 8 years of experience in DevOps engineering, cloud infrastructure, or systems analysis.
• Strong expertise with Azure DevOps, Git, and CI/CD pipeline development.
• Hands-on experience with Microsoft Azure cloud services.
• Extensive Snowflake administration experience, including security, RBAC, performance optimization, and warehouse management.
• Advanced Python scripting and automation experience.
• Experience with containerization and orchestration technologies, preferably AKS.
• Strong knowledge of data pipelines, ETL processes, and cloud data integration.
• Understanding of AI/ML concepts and enterprise platform integration.
• Experience with Azure Monitoring, Log Analytics, centralized logging, alerting, and observability solutions.
• Excellent analytical, troubleshooting, communication, and documentation skills.

Preferred Qualifications

• Experience implementing AI-enabled data platforms such as Snowflake Cortex and machine learning pipelines.
• Experience with Infrastructure as Code (IaC) tools and methodologies.
• Knowledge of data governance, security, and compliance frameworks.
• Experience working within large enterprise or public-sector environments.
• Exposure to Snowflake AI and Cortex capabilities.
• Ability to manage multiple priorities in a fast-paced environment.

Required Technical Skills

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

Work Arrangement

• Hybrid Schedule: 3 days remote, 2 days onsite (Monday and Wednesday required onsite).
• Candidates must currently reside in Texas and be local to the Austin area.
• Occasional after-hours or weekend support may be required.

Preferred Industry Experience

• State Government
• Health and Human Services
• Public Sector
• Enterprise Cloud Modernization
• Data Platform Engineering
• AI/ML Platform Implementations