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# Software Dev Engineer III

- **Company:** Indotronix International Corporation
- **Location:** Nashville, TN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), Artificial Intelligence, Amazon Web Services, Audit Trail, Software Debugging, Distributed Systems, Amazon DynamoDB, Python (Programming Language), OpenAI, Software Engineering, TypeScript, Data Logging, Scripting, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, AWS Lambda, Backend, Event Driven Architecture, Cloudwatch, Restful APIs, Serverless Computing
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-dev-engineer-iii-nashville-tn--c0dbdcd9-7db8-4e51-9ecb-003bb201edad

## About the Role

Software Engineering, Resource Leveling, Python Programming/Scripting Language, Java, Distributed Computing, Amazon Web Services (AWS), Risk, Artificial Intelligence (AI), AWS Lambda, Software Testing

## Description

What The Hiring Manager Wants

 * Ship fast (hands-on builder)
 * Backend/full-stack: Python, Java, TypeScript
 * Distributed systems + AWS
 * Risk/compliance mindset (accuracy, auditability)
 * AI/LLM exposure
 * Fast ramp + production ownership

Your Strengths (Hit These)

? Amazon experience (big differentiator)

? Strong stack match (Python, Java, TS, React)

? AWS serverless (Lambda, Step Functions, DynamoDB)

? LLMs (Bedrock + RAG)

? End-to-end ownership + production reliability

Core Stories (Know These Cold)

 1. Feature Delivery

 * Amazon validation platform (React + TS + Python)
 * manual QA by 70%
 * Owned end-to-end

Focus: impact + ownership

 2. Performance

 * DynamoDB optimization + caching
 * latency by 45%

Focus: measurable improvement

 3. AI/LLM

 * Bedrock + OpenAI + RAG
 * documentation 60%

Key line: "LLMs are part of the system-outputs must be validated."

 4. Distributed Systems

 * Lambda + Step Functions + DynamoDB
 * Event-driven architecture

Focus: scalable + decoupled

 5. Production

 * CloudWatch + on-call + RCA
 * MTTD 50%

Flow: Monitor Debug Fix Prevent

How to Answer Key Questions

Ramp Speed

 * Start with bugs logs/dashboards dependencies quick wins

AI Usage

 * Bedrock, OpenAI, prompt engineering, RAG
 * Used for automation + dev efficiency + insights

Tech Topics to Brush Up

 * REST APIs, service integrations
 * Serverless + event-driven systems
 * DynamoDB vs relational
 * CloudWatch monitoring
 * RAG + prompt basics
 * Logging, SLAs, incident response

Emphasize

 * Amazon experience
 * Hands-on delivery
 * AWS + distributed systems
 * LLM experience
 * Production ownership