Backend Fullstack Developer

Backend Fullstack Developer Alpharetta, GA Job Details 1 day ago Qualifications Data model design Databricks Data Integration (Data management) Azure Cloud data warehouses Spark English Scalable systems Snowflake Prompt engineering SQL Information security compliance Data Architecture Design (Architecture design skills) Docker Model deployment Implementing APIs Data analytics Scalability Developing and maintaining backend systems Distributed computing Real-time data processing implementation Senior level AI Batch data processing Python MLOps Database software proficiency Full Job Description Project description Provide software engineering in support of development to production of AI business cases. This role involves development and analytics of scalable solutions taking proof of concept to production. This position required someone who is a self-starter, self-sufficient with an open mindset and eager to learn. Responsibilities Data Ingestion & Processing Architecture Multiple high‑velocity data sources, including: Event Hub from Postgres Data pushed to Snowflake Additional events across various internal systems Heavy use of: Kubernetes for scalable processing Databricks / Spark for distributed compute Snowflake for storage and downstream analytics Skills Must have

Backend Engineering:

Python (primary) FastAPI (service/API development) Full‑stack engineering without UI (backend + data + infra only)

Cloud & Containerization:

Azure (core cloud environment) Docker Kubernetes / AKS Experience running high‑scale workloads in K8s

Data Engineering & Distributed Computing:

Spark / Databricks Experience handling: Very large datasets Complex pipelines High message volume Mixed batch + streaming data flows Designing & maintaining table schemas Working with

Snowflake Database & Data Handling:

Strong SQL + data manipulation skills Experience integrating multiple data sources Comfort navigating event‑streaming ecosystems Nice to have Hands‑

On LLM Integration:

Experience integrating LLMs into applications Prompt design / optimization RAG pipelines Vector databases & embedding models Model orchestration patterns Security & compliance for AI systems

Model Monitoring & Optimization:

Prompt evaluation frameworks Managing cost/performance tradeoffs (Nice-to-have) MLOps practices supporting AI workloads

Other Languages English:

C2 Proficient Seniority Senior Alpharetta, United States of America Req.

VR-121585

BigData Development Cross Industry Solutions 12/03/2026 Req. VR-121585