Full Stack Developer

System One
Pittsburgh, PA, United States
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Apache HTTP Server Application Integration Architecture Application Performance Management Application Services Automation of Tests Microsoft Azure Big Data Cloud Computing Continuous Integration
+45 more
Data Infrastructure Data Security Database Design Software Debugging DevOps Distributed Systems Event-Driven Programming Python (Programming Language) Key Management Machine Learning OAuth Software Architecture Azure Active Directory Standard Sql JSON Web Token Software Engineering SQL Databases Data Streaming Web Services Enterprise Data Management Enterprise Software Applications Cloud Platform System Large Language Models Snowflake Apache Spark Software Application Programming Generative AI Backend Git Fastapi Containerization Pyspark Kubernetes Information Technology Azure AKS Machine Learning Operations Asynchronous Programming Api Design Restful APIs Terraform Api Management Serverless Computing Docker Databricks Microservices

Job 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., 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, System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

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

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, 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

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