Senior DevOps Engineer (AI & Cloud Platform)-Locals

My3Tech; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

My3Tech is seeking a seasoned DevOps professional to manage enterprise-grade DevOps processes and CI/CD pipelines. The role necessitates building secure cloud infrastructure on Microsoft Azure and administering Snowflake environments.

Candidates should possess over 8 years of experience with Microsoft Azure, Snowflake administration, Python scripting, and container technologies like AKS. Strong collaboration and problem-solving skills are required for effective engagement with cross-functional teams.

Qualifications

• 8+ years of experience with DevOps practices and tools.
• 8+ years hands-on experience with Microsoft Azure.
• 8+ years of Snowflake administration experience.
• 8+ years of Python scripting for automation.
• Strong experience with data pipelines and ETL processes.

Responsibilities

• Design, implement, and maintain DevOps processes and CI/CD pipelines.
• Build and manage secure and scalable cloud infrastructure.
• Administer Snowflake environments including performance tuning.
• Develop automation solutions using Python.
• Implement and support containerized workloads using Kubernetes.

Skills

DevOps practices and tools including Azure DevOps

Microsoft Azure Cloud Platform

Snowflake administration

Python scripting for automation

Containerization and orchestration technologies (AKS preferred)

Data pipelines and ETL processes

Integrating AI/ML technologies

Monitoring and observability solutions

Technical solution evaluation

Tools

Terraform

Microsoft Azure

Snowflake

Kubernetes

Job description

Duration

12+ Months Contract (Extension Possible)

Interview Process

Virtual/In-Person Interview

Key Responsibilities

• Design, implement, and maintain enterprise-grade DevOps processes and CI/CD pipelines.
• Build and manage scalable, secure, and highly available cloud infrastructure on Microsoft Azure.
• Administer and optimize Snowflake environments, including performance tuning, warehouse management, and access controls.
• Develop automation solutions using Python for deployment, monitoring, and operational efficiency.
• Implement and support containerized workloads using Kubernetes and Azure Kubernetes Service (AKS).
• Design, develop, and maintain cloud-based data pipelines and ETL processes.
• Integrate AI/ML platforms and services into enterprise data ecosystems.
• Configure and manage centralized logging, monitoring, alerting, and observability solutions.
• Implement security best practices, governance policies, and role-based access controls (RBAC).
• Collaborate with architects, developers, data engineers, and business stakeholders to deliver cloud and data solutions.
• Analyze business requirements and recommend technical solutions through cost-benefit analysis and feasibility studies.
• Create technical documentation, operational procedures, and implementation guides.
• Monitor system performance and proactively identify optimization opportunities.

Required Skills & Experience

• 8+ years of experience with DevOps practices and tools, including Azure DevOps, Git, and CI/CD pipelines.
• 8+ years of hands‑on experience with Microsoft Azure Cloud Platform.
• 8+ years of Snowflake administration experience, including:
  • RBAC and security management
  • Least privilege access controls
  • Performance tuning
  • Warehouse optimization and management
• 8+ years of Python scripting experience for automation and data engineering.
• 8+ years of experience with containerization and orchestration technologies (AKS preferred).
• Strong experience with data pipelines, ETL processes, and cloud data integration.
• Experience integrating AI/ML technologies into cloud platforms.
• Expertise with Azure Monitor, Log Analytics, centralized logging, dashboarding, and alerting.
• Strong understanding of monitoring, observability, and operational excellence.
• Experience gathering requirements, evaluating alternatives, and recommending technical solutions.

Preferred Skills

• Experience implementing AI-enabled data platforms, including Snowflake Cortex and ML pipelines.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, ARM, or Bicep.
• Knowledge of data security, governance, compliance, and regulatory frameworks.
• Experience supporting public sector or large enterprise environments.
• Exposure to Snowflake AI and Cortex capabilities.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Ability to manage multiple priorities in fast‑paced environments.
• Strong documentation and communication skills.
• Detail‑oriented with a commitment to engineering best practices.