Fullstack Engineer- Dallas, TX

Photon•United States,

3h•$40,000 - $142,000•Onsite

About The Position

We are seeking a versatile and highly skilled Full Stack Engineer to join our engineering team. This role is designed for a developer who excels in polyglot programming and is capable of building sophisticated, AI-driven applications. You will be responsible for the end-to-end lifecycle of complex systems—from architecting scalable Microservices and implementing cutting-edge Agentic AI workflows to crafting seamless user experiences across multiple modern front-end frameworks.

Requirements

Extensive experience in full-stack development with a proven track record of shipping production-grade software.
Deep understanding of the trade-offs between different programming languages and frameworks.
Experience building and deploying autonomous AI agents or integrating LLMs into existing workflows.
Strong proficiency in managing complex AWS environments and distributed system patterns.
Ability to analyze database health and optimize queries using specialized analytical tooling.
Excellent communication skills and the ability to lead technical discussions across diverse tech stacks.

Nice To Haves

Polyglot Backend Development: Java (Spring Boot), Python (FastAPI/Django), and Node.js.
Modern Frontend Engineering: Angular, React, and Next.js, TypeScript, Tailwind CSS
Cloud & Infrastructure: AWS (Lamda, EC2,S3, RDS, DynamoDB, API Gateway, Sagemaker)
Microservices Architecture: Microservices, Event-Driven Design, RESTful APIs
Data & Analysis: DB Analyst Tools (e.g., DBeaver, SQL Profiler, Tableau), PostgreSQL, MongoDB
DevOps: Git, Docker, Kubernetes, Terraform, Jenkins/GitHub Actions

Responsibilities

Design and maintain high-performance server-side applications using Java (Spring Boot), Python (FastAPI/Django), and Node.js.
Develop intuitive, high-performance web interfaces using Angular, React, and Next.js, ensuring SEO optimization and efficient server-side rendering where applicable.
Build and manage cloud-native environments on AWS, focusing on serverless architectures, containerization (Docker/Kubernetes), and CI/CD automation.
Deconstruct monolithic requirements into scalable, resilient microservices with robust inter-service communication (REST, gRPC, or Message Queues).
Utilize DB Analyst tools to monitor database performance, perform complex data modeling, and ensure data integrity across relational and NoSQL systems.
Participate in the entire software development lifecycle, from initial requirements gathering and technical design to deployment and production monitoring.