Sr. Full Stack Engineer

Sr. Full Stack Engineer

Location: Irving, TX (Preferred) | Minneapolis, MN | Chandler, AZ | Charlotte, NC (Alternate Locations) Work Model: Hybrid (3 Days Onsite / 2 Days Remote)

Job Overview

We are seeking an experienced Sr. Full Stack Engineer with a strong background in full-stack application development, cloud technologies, AI/ML, and modern software engineering practices. The ideal candidate will have hands-on experience building scalable applications using Python and React while leveraging cloud platforms and DevOps methodologies to deliver high-quality solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.
• Strong hands-on experience in full-stack software engineering.
• Proficiency in Python for backend/application development and React for frontend/UI development.
• Experience building and consuming REST APIs, microservices, and distributed systems.
• Hands-on experience with Microsoft Azure development and deployment, along with solution design experience in AWS and/or Google Cloud Platform (GCP).
• Experience developing machine learning solutions using diverse datasets, including AI model development, evaluation, optimization, and deployment.
• Experience building or integrating chatbots or conversational AI solutions.
• Strong understanding of cloud architecture, software design, application security, scalability, and performance.
• Experience with DevOps practices and tools, including CI/CD, Infrastructure as Code (IaC), automated deployments, environment management, monitoring, and release support across cloud platforms.
• Experience working with relational, NoSQL, and vector databases.

Preferred Qualifications

• Experience with Azure Machine Learning, Azure Functions, Azure App Services, Azure DevOps, AWS Lambda, SageMaker, Google Vertex AI, Cloud Run, or similar cloud services.
• Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or prompt orchestration frameworks.
• Experience designing multi-cloud application architectures and integration patterns.
• Familiarity with Docker, Kubernetes, and container-based deployment models.
• Experience with MLOps, model lifecycle management, and production monitoring.
• Experience working with relational, NoSQL, and vector databases.
• Strong communication, collaboration, and solution design skills with cross-functional teams.