Senior DevOps Engineer (Systems Analyst III) - 26-06932

Job Description

Job Description

Job Title: Senior DevOps Engineer (Systems Analyst III)

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.

Work Location Requirements

• 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

Key ResponsibilitiesDevOps Engineering

• 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.

Azure Cloud Administration

• 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.

Snowflake Administration

• 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.

Data Engineering & Integration

• 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.

AI & Machine Learning Platform Support

• 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.

Containerization & Orchestration

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

Monitoring & Observability

• 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.

Security & Governance

• 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.

Collaboration & Leadership

• 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.

Required QualificationsExperience

• 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.

Preferred QualificationsCloud & Infrastructure

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

AI & Data Platforms

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

Security & Compliance

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

Industry Experience

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

Technical Skills

• 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

For more details reach at View email address on ziprecruiter.com