Technical Architect (AI, Azure, Mobile, Database)

Key Responsibilities:

AI and Generative AI: Design and implement AI solutions using Claude 3, VSCode, GitHub Copilot, and Continue.dev. Develop and integrate AI models to enhance business processes.

Azure Management: Oversee Azure Management Groups, Subscriptions, Policies, Security, Firewalls, VNets, Containers, Web Apps, Storage, Front Door, NSGs, Load Balancers, ExpressRoute, and Geo-Redundancy.

DevOps and Automation: Manage Azure DevOps Pipelines and automate infrastructure using Terraform for IaC. Utilize Azure PowerShell and Azure CLI (Bash) for scripting and automation.

Application Development: Lead the development of applications using .NET Core (6-8), React JS, Vue JS, JavaScript, Node JS, TypeScript, Python, HTML5, and CSS3.

Database Management: Administer and optimize databases including SQL Server Managed Instance, PostgreSQL, and MongoDB Atlas. Implement and manage Apollo DB GraphQL.

Containerization and Orchestration: Deploy and manage containerized applications using Docker and Kubernetes.

Integration and API Management: Utilize Mulesoft and Azure API Management for seamless integration and API management.

Technical Documentation: Create and maintain technical diagrams such as Mermaid documents, sequence diagrams, architecture diagrams, ERDs, and logical and physical data diagrams.

Collaboration: Work closely with cross-functional teams to ensure alignment and integration of solutions across the organization.

Requirements

Key Qualifications:

Proven experience as a Technical Architect or similar role.

Deep understanding of AI technologies and frameworks.

Extensive experience with Azure services and architecture.

Proficiency in DevOps practices and tools, including Terraform, Azure DevOps, PowerShell, and Bash.

Strong knowledge of application development using .NET Core, React JS, Vue JS, JavaScript, Node JS, TypeScript, Python, HTML5, and CSS3.

Expertise in database management and optimization.

Experience with containerization and orchestration using Docker and Kubernetes.

Familiarity with integration tools like Mulesoft and Azure API Management.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Preferred Skills:

Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert).

Experience with other cloud platforms (e.g., AWS, Google Cloud).

Knowledge of DevSecOps practices.

Experience with monitoring and logging tools (e.g., Azure Monitor, Log Analytics).

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Hybrid