Backend Python Developer

CGI

$88K — $121K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field
  • 5+ years of software development experience
  • 5+ years of Python development experience
  • Proficient in FastAPI for production applications
  • Strong REST API design understanding
  • Experience with Snowflake integrations
  • Familiarity with Azure cloud applications

Responsibilities

  • Design, develop, and maintain backend applications and RESTful APIs using Python and FastAPI
  • Build secure and reusable API services supporting AI and enterprise applications
  • Integrate applications with Snowflake and Databricks
  • Optimize data access layers for large scale datasets
  • Develop services utilizing Apache Iceberg tables
  • Create event-driven backend services
  • Collaborate with engineers for Azure deployment using DevOps practices

Benefits

  • Comprehensive insurance options from day one
  • 401(k) match and share purchase plan
  • Generous paid time off for vacations and holidays
  • Paid parental leave
  • Tuition assistance and learning opportunities
  • Wellness and well-being programs
Full Job Description
Backend Python Developer

Category: Software Development/ Engineering

Main location: United States, Texas, Dallas

Position ID:J0726-1876

Employment Type: Full Time

Position Description:

We're growing rapidly and are looking for a Senior Backend Developer with Python Application Developer experience. This position is located at any CGI office in Dallas or Plano Texas. A hybrid working model is acceptable.

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

Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $88,200.00 $121,200.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs

*LI-TM1

Skills:
  • Application Development
  • Artificial Intelligence
  • Communication
  • FastAPI
  • LangChain
  • Python
  • SQLite
  • Kubernetes

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