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Full Stack Developer

System One Holdings, LLC

Full Stack Developer

Location: Dallas or Plano, Texas. No. Openings: 3

Full Stack Developer Position Description: We're growing rapidly and are looking for Full Stack Developers to join our Telecommunications Sector. We're a close knit team that has access to global resources. Location strongly preferred to be in Dallas or Plano, Texas.

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.
Vacancy posted 23 hours ago
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