Hybrid/Local Azure DevOps Engineer (15+)

InnoSoul • Austin, TX

20h • Hybrid

About The Position

Senior DevOps Engineer with expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines. Strong experience in CI/CD, automation using Python, and cloud infrastructure, ensuring efficient deployment, monitoring, and performance optimization. Provides end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions. This role requires 8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, and a wide degree of creativity and latitude is expected. The engineer will understand business objectives and problems, identify alternative solutions, and perform studies and cost/benefit analysis of alternatives. They will analyze user requirements, procedures, and problems to automate processing or to improve existing computer systems by conferring with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be summarized, and formats for reports. The engineer will write detailed descriptions of user needs, program functions, and steps required to develop or modify computer programs, and review computer system capabilities, specifications, and scheduling limitations to determine if requested programs or program changes are possible within existing systems.

Requirements

• Strong experience in DevOps practices and tools (Azure DevOps, Git, CI/CD pipelines)
• Hands-on experience with Microsoft Azure cloud platform
• Expertise in Snowflake administration including: Access control and security (RBAC, least privilege) ; Performance tuning and warehouse management
• Proficiency in Python scripting for automation and data engineering tasks
• Experience with containerization and orchestration (AKS preferred)
• Knowledge of data pipelines, ETL processes, and cloud data integration
• Understanding of AI/ML concepts and platform integration
• Experience with Azure Monitoring and Log Analytics, including: Centralized logging, alerting, and dashboarding; Security monitoring using audit logs and metrics
• Familiarity with monitoring, logging, and observability tools
• 8 or more years of experience

Nice To Haves

• Experience implementing AI-enabled data platforms (e.g., Snowflake Cortex / ML pipelines)
• Experience with Infrastructure as Code
• Knowledge of data security, compliance, and governance frameworks
• Prior experience in public sector or large enterprise environments
• Strong problem-solving and analytical skills
• Ability to manage multiple priorities in a fast-paced environment
• Attention to detail and commitment to best practices
• Snowflake AI / Cortex features exposure
• Excellent communication and documentation skills

Responsibilities

• Building scalable and secure data and AI pipelines.
• Ensuring efficient deployment, monitoring, and performance optimization.
• Providing end-to-end DevOps support, including security and governance (RBAC).
• Collaborating with cross-functional teams to deliver reliable cloud and data solutions.
• Planning and accomplishing goals, independently performing a variety of complicated tasks.
• Understanding business objectives and problems, identifying alternative solutions, and performing cost/benefit analysis.
• Analyzing user requirements, procedures, and problems to automate processing or improve existing computer systems.
• Writing detailed descriptions of user needs, program functions, and steps required to develop or modify computer programs.
• Reviewing computer system capabilities, specifications, and scheduling limitations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed