Senior DevOps Engineer / Systems Analyst 3

Austin, TX, US • Posted 2 days ago • Updated 34 minutes ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Workflow
  • Collaboration
  • Data Engineering
  • System Administration
  • Technical Writing
  • Systems Analysis
  • Performance Tuning
  • Warehouse Management
  • Scripting
  • Orchestration
  • Data Integration
  • Analytical Skill
  • Communication
  • Documentation
  • Data Governance
  • Regulatory Compliance
  • Management
  • DevOps
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Snow Flake Schema
  • Python
  • Kubernetes
  • Extract
  • Transform
  • Load
  • Microsoft Azure
  • Analytics
  • RBAC
  • Information Security Governance
  • IaaS
  • Public Sector
  • Cloud Computing
  • Artificial Intelligence
  • Machine Learning (ML)

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90970922
  • Position Id: SYS - 4737-3954-1781137440
  • Posted 2 days ago
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