Backend Python Developer

Job Title: Backend Python Developer
Location: Dallas, Texas (Onsite)


Rate: Max $57/.hr 1099


Client: CGI



Job Description:
Your future duties and responsibilities
. Design, develop, and maintain scalable backend applications and RESTful APIs using Python and FastAPI
. Build high performance, secure, and reusable API services supporting AI, analytics, and enterprise applications
. Develop integrations with Snowflake, Databricks, and cloud based data platforms
. Design and optimize data access layers supporting structured, semi structured, and large scale datasets
. Develop services that leverage Apache Iceberg tables and modern data lakehouse architectures
. Build event driven and asynchronous backend services where appropriate
. Optimize API performance, scalability, reliability, and security
. Implement authentication and authorization using OAuth2, JWT, Azure AD, or similar enterprise identity providers
. Collaborate with cloud engineers to deploy applications on Microsoft Azure using modern DevOps practices
. Participate in architecture reviews, code reviews, and technical design discussions



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



Desired Characteristics
. Strong ownership mindset
. Passion for building clean, maintainable, and scalable software
. Ability to work independently while collaborating effectively with cross functional teams
. Comfortable working in Agile environments
. Continuous learner with interest in AI, cloud technologies, and modern data platforms
. Strong attention to quality, security, and performance
. Experience supporting enterprise AI initiatives
. Experience building APIs that serve AI/ML models
. Experience working with large scale enterprise data platforms
. Exposure to telecom, financial services, or other large enterprise environments