Python Developer | Remote (In-person interview to Dallas, TX is must) | W2 Only

About the Position Key Responsibilities: Design, develop, and maintain scalable backend services using Python and FastAPI Build and optimize RESTful APIs for performance, reliability, and scalability Develop and manage distributed systems using GKE and serverless architectures Implement messaging solutions using Pub/Sub patterns Work with relational and non-relational databases for efficient data storage and retrieval Optimize application performance using caching mechanisms like Redis and parallel processing Integrate AI/LLM capabilities into backend services where applicable Write clean, testable, and maintainable code following best practices Perform unit, integration, and regression testing with automation frameworks Collaborate with cross-functional teams and participate in code reviews Implement and manage CI/CD pipelines for smooth deployments Troubleshoot, monitor, and improve system performance and reliability Responsibilities Design, develop, and maintain scalable backend services using Python and FastAPI Build and optimize RESTful APIs for performance, reliability, and scalability Develop and manage distributed systems using GKE and serverless architectures Implement messaging solutions using Pub/Sub patterns Work with relational and non-relational databases for efficient data storage and retrieval Optimize application performance using caching mechanisms like Redis and parallel processing Integrate AI/LLM capabilities into backend services where applicable Write clean, testable, and maintainable code following best practices Perform unit, integration, and regression testing with automation frameworks Collaborate with cross-functional teams and participate in code reviews Implement and manage CI/CD pipelines for smooth deployments Troubleshoot, monitor, and improve system performance and reliability Requirements Languages & Frameworks: Python, SQL, FastAPI API & Backend Development: RESTful API design and implementation; Pub/Sub messaging systems; Distributed systems (GKE, Serverless compute) Databases: Relational and NoSQL databases; ORMs Performance & Intelligence: Redis; Threading and parallelism; LLM (Large Language Models); AI technologies Testing: Unit, regression, and integration testing; Automated testing and mocking frameworks DevOps & CI/CD: CI/CD tools and practices; Git; Bash scripting; UNIX utilities and commands Cloud Platforms: GCP, AWS, or Azure Collaboration & Methodologies: Agile and Waterfall methodologies; Code reviews and cross-functional collaboration BigQuery (BQ) Dataflow Apache Airflow #J-18808-Ljbffr