Job Description
Senior Azure DevOps Engineer (Azure | Snowflake | Kubernetes | AI Platforms)
Engagement: Long-Term Consulting Opportunity
Location: Austin, TX (Hybrid – 2 days onsite / 3 days remote)
Local Candidates Preferred
About the Opportunity
We’re looking for a highly skilled Senior Azure DevOps Engineer to support large-scale cloud modernization, data platform transformation, and AI-driven initiatives within a complex enterprise environment.
This role is ideal for someone who thrives in hands-on engineering work, enjoys solving complex infrastructure challenges, and is passionate about building secure, scalable, and automated cloud platforms using modern tools like Azure, Snowflake, Kubernetes, and Python.
You’ll play a key role in improving cloud operations, strengthening DevOps practices, and enabling next-generation data and AI capabilities.
What You’ll Be Doing
Cloud & Platform Engineering
- Build and manage scalable, secure cloud infrastructure in Microsoft Azure
- Improve performance, reliability, and cost efficiency of cloud environments
- Support hybrid and cloud-native system architectures
DevOps & Automation
- Design and maintain CI/CD pipelines using Azure DevOps and Git
- Automate infrastructure, deployments, and operational workflows
- Develop Python scripts to reduce manual work and improve efficiency
- Promote DevOps best practices across teams
Snowflake & Data Platform Support
- Administer Snowflake environments (security, performance, and access control)
- Optimize queries and improve warehouse performance
- Support data engineering teams with best practices and platform stability
Kubernetes & Containers
- Deploy and manage containerized applications in Kubernetes/AKS
- Support scaling, monitoring, and secure container operations
AI & Modern Data Platforms
- Support AI/ML and advanced analytics initiatives
- Help integrate AI capabilities into data platforms and workflows
- Explore and support emerging AI-driven technologies
Monitoring & Reliability
- Build monitoring, alerting, and logging solutions using Azure Monitor
- Improve system reliability through proactive performance tracking
- Troubleshoot and resolve production issues
Security & Governance
- Implement cloud security best practices and RBAC models
- Ensure compliance, auditing, and secure access controls
- Partner with security teams on governance initiatives
What We’re Looking For
Must-Have Experience
- 8+ years in DevOps, Cloud Engineering, or Platform Engineering
- Strong hands-on experience with Microsoft Azure
- Expertise in Azure DevOps, CI/CD pipelines, and Git
- Strong Snowflake administration experience (RBAC, performance tuning, optimization)
- Advanced Python scripting/automation skills
- Experience with Kubernetes / AKS and containerized environments
- Strong understanding of monitoring tools (Azure Monitor, Log Analytics, dashboards)
- Experience supporting data pipelines (ETL/ELT)
Nice to Have
- Exposure to AI/ML or intelligent automation solutions
- Snowflake Cortex or AI-driven data tools
- MLOps or machine learning pipeline experience
- Infrastructure-as-Code (Terraform, Bicep, ARM Templates)
- Experience in large enterprise or regulated environments
- Strong understanding of cloud security and governance
Ideal Candidate
We’re looking for someone who:
- Enjoys solving complex technical problems
- Loves automation and continuous improvement
- Is comfortable working across cloud, data, and AI platforms
- Communicates effectively with both technical and non-technical teams
- Takes ownership and drives solutions end-to-end
- Stays current with modern cloud and AI technologies
Technologies You’ll Work With
- Microsoft Azure
- Azure DevOps, Git, CI/CD
- Python
- Snowflake
- Kubernetes / AKS / Docker
- Azure Monitor / Log Analytics
- AI/ML platforms & integrations