DevOps Engineer

Role: DevOps Engineer

Location: Austin, TX (Hybrid - 3 days remote and 2 days onsite)

Duration: Long Term

In person interview will be required

Responsibilities:

• Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives.
• Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system
• Confers 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.
• Writes detailed description of user needs, program functions, and steps required to develop or modify computer program.
• Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
• Expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines.
• 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.

Qualifications:

• 8+ years of experience implementing DevOps practices and utilizing tools such as Azure DevOps, Git, CI/CD pipelines, and automated deployment frameworks.
• 8+ years of experience designing, deploying, and managing solutions on the Microsoft Azure cloud platform.
• 8+ years of experience administering Snowflake environments, including access control, RBAC implementation, least-privilege security models, warehouse management, performance tuning, and platform optimization.
• 8+ years of experience developing Python scripts and automation solutions for data engineering, cloud operations, and platform administration.
• 8+ years of experience working with containerization and orchestration technologies, including Azure Kubernetes Service (AKS) and Kubernetes-based deployments.
• 8+ years of experience designing, developing, and supporting data pipelines, ETL/ELT processes, and cloud-based data integration solutions.
• 8+ years of experience applying AI/ML concepts and integrating AI-enabled capabilities into cloud and data platforms.
• 8+ years of experience implementing and managing Azure Monitor, Log Analytics, centralized logging, alerting, dashboarding, security monitoring, audit logging, and operational metrics.
• 8+ years of experience utilizing monitoring, logging, observability, and performance management tools to ensure platform reliability and operational excellence.
• 3+ years of experience designing and implementing AI-enabled data platforms, including Snowflake Cortex, machine learning pipelines, and AI-driven analytics solutions.
• 3+ years of experience implementing Infrastructure as Code (IaC) using tools such as Terraform, ARM Templates, Bicep, or similar automation frameworks.
• 3+ years of experience applying data security, compliance, governance, and risk management frameworks within cloud and data platform environments.
• 3+ years of experience working within public sector, government, or large enterprise environments supporting mission-critical applications and data platforms.
• 2+ years of experience demonstrating strong analytical, troubleshooting, and problem-solving skills in complex technical environments.
• 2+ years of experience managing multiple priorities, projects, and operational responsibilities in fast-paced and dynamic environments.
• 2+ years of experience maintaining high attention to detail and adherence to engineering, security, and operational best practices.
• 2+ years of experience working with Snowflake AI and Cortex features, including AI-powered functions, governance, and monitoring capabilities.
• 1+ year of experience creating technical documentation, operational runbooks, architectural diagrams, and communicating effectively with technical and business stakeholders.