Required qualifications to be successful in this role
. Bachelor's degree in Computer Science, Engineering, or equivalent experience
. 5+ years of professional software development experience
. 5+ years of hands on Python development
. Strong experience developing production grade applications using FastAPI
. Strong understanding of REST API design and backend architecture
. Experience with asynchronous programming in Python
. Experience integrating applications with Snowflake
. Experience working with Databricks
. Experience using Apache Iceberg tables and modern lakehouse architectures
. Experience developing applications on Microsoft Azure
. Experience building AI enabled or GenAI applications
. Experience integrating with Large Language Models (Azure OpenAI, OpenAI, Anthropic, etc.)
. Experience with vector databases and Retrieval Augmented Generation (RAG)
. Experience with MLflow or MLOps practices
. Experience writing unit, integration, and automated tests
. Strong knowledge of SQL and database design
. Experience with containerization technologies such as Docker
. Excellent debugging, analytical, and problem solving skills
. Strong communication and collaboration skills
Preferred Qualifications
. Experience with Azure Kubernetes Service (AKS)
. Experience with Azure Functions or Azure App Services
. Experience with Azure API Management
. Experience with Azure Key Vault
. Experience with Azure Event Hubs or Service Bus
. Experience with Terraform or Infrastructure as Code
. Familiarity with Spark and PySpark
. Experience with distributed systems and microservices architectures
Technical Skills
Required
. Python
. FastAPI
. REST APIs
. Snowflake
. Databricks
. Apache Iceberg
. Microsoft Azure
. SQL
. MLflow
. Azure OpenAI
. LangChain or similar AI frameworks
Preferred
. AKS
. Git
. Docker
. CI/CD
. Azure Functions
. Azure API Management
. Azure Key Vault
. Azure DevOps
. Kubernetes
. Terraform
. PySpark
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