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Software Dev Engineer III

Indotronix International Corporation
Nashville, TN, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.careerbuilder.com

Tech stack

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
+12 more
Data Logging Scripting ReactJS Retrieval-Augmented Generation Large Language Models Prompt Engineering AWS Lambda Backend Event Driven Architecture Cloudwatch Restful APIs Serverless Computing

Job 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

  1. Performance
  • DynamoDB optimization + caching
  • latency by 45%

Focus: measurable improvement

  1. AI/LLM
  • Bedrock + OpenAI + RAG
  • documentation 60%

Key line: β€œLLMs are part of the system-outputs must be validated.”

  1. Distributed Systems
  • Lambda + Step Functions + DynamoDB
  • Event-driven architecture

Focus: scalable + decoupled

  1. 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

Requirements

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

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