Cloud, AI & DevOps Engineer II
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Job Description
Cloud and AI Engineer developing conversational agents and automation tools while administering Azure infrastructure. Supporting wireless communications infrastructure through secure, scalable cloud and DevOps solutions.
Responsibilities:
- Design and develop AI-driven conversational agents and automation tools using Microsoft technologies and modern programming frameworks/languages
- Collaborate with cross-functional teams to define, design, and implement AI-enabled features and solutions
- Improve the performance, accuracy, and capabilities of AI agents and automation tools
- Troubleshoot and resolve AI solution issues
- Own development and maintenance of applications supporting AI-enabled business processes
- Integrate AI agents and automation tools with traditional .NET applications, including C# and ASP.NET environments
- Engineer resilient AI workflows and establish monitoring frameworks for agent performance
- Manage and administer Azure cloud environments, including provisioning, monitoring, and troubleshooting
- Configure and optimize Azure resources for performance, cost efficiency, and security
- Manage Microsoft Intune MDM and Azure SSO configurations
- Implement security best practices, identity management, network security, encryption, and access controls
- Maintain audit logging and regulatory controls with Security and Compliance teams
- Administer Azure Databricks clusters and support data platform reliability
- Monitor Azure costs and usage and implement cost optimization strategies
- Deploy and manage applications in Azure environments
- Implement and manage Azure DevOps CI/CD pipelines
- Support Azure migrations and upgrades with other IT teams
Requirements:
- Bachelor’s degree or equivalent experience required; degree in Computer Science, Information Technology, or related field preferred
- 3+ years of experience administering Azure cloud and Microsoft enterprise environments or equivalent experience with another cloud provider
- 3+ years of experience working with Large Language Models, Traditional ML models, and AI-enabled solutions
- Strong experience with Azure AD, Networking, Security Center, Monitor, and Resource Manager
- Familiarity with Copilot Studio, chatbot frameworks, and APIs
- Working knowledge of traditional .NET development environments, including C# and ASP.NET
- Experience with Intune MDM, Azure SSO, and identity management
- Scripting and automation experience using PowerShell, Bash, Azure CLI, or similar tools
- Experience with GitHub and Azure DevOps CI/CD pipelines and cost management practices
- Basic knowledge of Azure Databricks and Azure Synapse Analytics
- Proven knowledge of DevOps best practices for modern software development lifecycles
- Experience architecting and maintaining cloud infrastructure through Infrastructure as Code (IaC) tooling
- Experience leading small, agile software development teams
- Ability to interface with and interpret requirements from internal and external stakeholders
- Ability to stoop, bend, kneel or crouch
- Ability to stand, walk and sit
- Ability to reach with hands and arms
- Visual ability correctable to 20/20
- Sitting up to 90% of the day
- Ability to respond verbally in an understandable, professional manner in person and over the telephone
- Manual dexterity to input data into the computer and calculator and operate equipment
- Ability to lift up to 15 pounds
Benefits:
- Global Ownership Program (Annual RSU awards for eligible employees)
- 401K with a generous company match
- Employee Stock Purchase Plan offering company stock at a discount
- Dedicated Health Concierge service
- Generous Paid Time Off (PTO) package
- Paid holidays
- Paid volunteer hours
- Tuition reimbursement
- Support for professional certifications
- Wellness reimbursement program
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