Savvy, Inc. is seeking an AI Software Engineer with expertise in Azure technologies to develop and deploy AI-powered solutions. The role requires strong Python skills and experience with CI/CD practices.
## Qualifications - This role requires a solid understanding of software engineering principles, CI/CD practices, and a passion for building scalable and reliable applications - Python Proficiency: Strong scripting and API integration skills - Software Engineering: Solid understanding of CI/CD, design patterns, and unit & integration testing - Azure Function Apps Development: Demonstrated experience developing, testing, and deploying Python-based Azure Function Apps, including implementing triggers, bindings, scaling options, error handling, logging, and connections to Azure services/APIs - Azure Load Balancing & Scalability: Understanding of load balancing concepts and experience configuring and managing Azure Load Balancer or Application Gateway with Function Apps - Experience implementing Function App auto-scaling - Dev Ops & CI/CD: Experience with CI/CD best practices and creating YAML-based Azure Dev Ops Pipelines for Function App deployment - Infrastructure as Code (IaC): Experience using ARM templates or Terraform for infrastructure deployment - Version Control: Proficiency with Git ## Benefits - Duration: 12 Months + Contract to hire ## Responsibilities - You will play a key role in developing and deploying AI-powered solutions, leveraging Azure Function Apps and other Azure services - Develop, test, and deploy Python-based Azure Function Apps, implementing various triggers, bindings, and scaling options - Design and implement solutions for high availability, fault tolerance, and load balancing of Azure Function Apps - Implement robust error handling, logging, and connections to Azure services and APIs - Design and implement CI/CD pipelines using YAML in Azure Dev Ops for automated deployment of Function Apps - Utilize Infrastructure as Code (IaC) principles and tools (ARM templates or Terraform) for infrastructure deployment - Collaborate with other engineers and stakeholders to define requirements and deliver high-quality solutions - Participate in code reviews and contribute to improving our development processes - Stay up-to-date with the latest Azure technologies and best practices ## Full Description Position: AI Software Engineer magnolia.ai Seattle, WA Interested Not Interested Hello to anyone interested in this position, please reach out if you think you'd be a good fit in this role! AI Software Engineer (Azure Focus) $57/hr Location: Remote work Duration: 12 Months + Contract to hire AI Software Engineer with a strong focus on Azure cloud technologies to join our growing team. You will play a key role in developing and deploying AI-powered solutions, leveraging Azure Function Apps and other Azure services. This role requires a solid understanding of software engineering principles, CI/CD practices, and a passion for building scalable and reliable applications. If you thrive in a fast-paced environment and are excited about the possibilities of AI, we encourage you to apply! Responsibilities: • Develop, test, and deploy Python-based Azure Function Apps, implementing various triggers, bindings, and scaling options. • Design and implement solutions for high availability, fault tolerance, and load balancing of Azure Function Apps. • Implement robust error handling, logging, and connections to Azure services and APIs. • Design and implement CI/CD pipelines using YAML in Azure Dev Ops for automated deployment of Function Apps. • Utilize Infrastructure as Code (IaC) principles and tools (ARM templates or Terraform) for infrastructure deployment. • Collaborate with other engineers and stakeholders to define requirements and deliver high-quality solutions. • Participate in code reviews and contribute to improving our development processes. • Stay up-to-date with the latest Azure technologies and best practices.Required Skills: • Python Proficiency: Strong scripting and API integration skills. • Software Engineering: Solid understanding of CI/CD, design patterns, and unit & integration testing. • Azure Function Apps Development: Demonstrated experience developing, testing, and deploying Python-based Azure Function Apps, including implementing triggers, bindings, scaling options, error handling, logging, and connections to Azure services/APIs. • Azure Load Balancing & Scalability: Understanding of load balancing concepts and experience configuring and managing Azure Load Balancer or Application Gateway with Function Apps. Experience implementing Function App auto-scaling. • Dev Ops & CI/CD: Experience with CI/CD best practices and creating YAML-based Azure Dev Ops Pipelines for Function App deployment. • Infrastructure as Code (IaC): Experience using ARM templates or Terraform for infrastructure deployment. • Version Control: Proficiency with Git.Preferred Skills (Nice-to-Haves): • REST API Knowledge (consumption). • Docker (for local Function App development & testing). • Basic Data Storage Knowledge (Blob Storage, Cosmos DB). • Azure Synapse Analytics (interaction with data warehouses).Skills Engineering And Information Technology Data Infrastructure And Analytics #J-18808-Ljbffr
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