Full Stack Developer

Location: Dallas or Plano, Texas (3 openings)

About the role

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.

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

Requirements

• 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

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