Job Requirements
Nashville, TN
Top Secret/SCI Polygraph Unspecified
Career Level not specified
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Job Description
Hey Team,
Have a Backfill Opportunity for my team for Amazon in Nashville Tennessee, person we are backfilling 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 DescriptionL
What The Hiring Manager Wants
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
2. Performance
3. AI/LLM
4. Distributed Systems
5. Production
How to Answer Key Questions
Ramp Speed
AI Usage
Tech Topics to Brush Up
Emphasize
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : Yes
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Client :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :
Have a Backfill Opportunity for my team for Amazon in Nashville Tennessee, person we are backfilling 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 DescriptionL
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
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : Yes
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Client :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :
group id: indony