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Software Dev Engineer III

Job in Nashville, Davidson County, Tennessee, 37201, USA
Listing for: Clearance Jobs
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), AWS, Cloud Engineer - Software
Job Description & How to Apply Below
Position: Software Dev Engineer III Jobs

Senior Software Engineer Opportunity in Nashville, TN

Hey Team, Have a Backfill Opportunity for my team for Amazon in Nashville Tennessee, person we are back filling is attached I have 9 people on the team and it's a one round iv process. Position is onsite in Nashville, 5 days a week Looking for a Senior level resource that can come on board Job Description L What The Hiring Manager Wants

Ship fast (hands-on builder)

Backend/full-stack:
Python, Java, Type Script

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

Cloud Watch + 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

Cloud Watch monitoring

RAG + prompt basics

Logging, SLAs, incident response

Emphasize

Amazon experience

Hands-on delivery

AWS + distributed systems

LLM experience

Production ownership

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