{"schemaVersion":"jobsearcher.job.v1","id":"44802b344e750c222c90c3f5","url":"https://jobsearcher.com/jobs/44802b344e750c222c90c3f5","canonicalUrl":"https://jobsearcher.com/jobs/44802b344e750c222c90c3f5","title":"Software Development Engineer","description":"Position is onsite in Nashville, 5 days a weekLooking for a Senior level resource that can come on boardHas to be able to sit on my w2Job DescriptionLWhat 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 ownershipYour 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 reliabilityCore Stories (Know These Cold)1. Feature Delivery· Amazon validation platform (React + TS + Python)· ↓ manual QA by 70%· Owned end-to-endFocus: impact + ownership2. Performance· DynamoDB optimization + caching· ↓ latency by 45%Focus: measurable improvement3. 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 architectureFocus: scalable + decoupled5. Production· CloudWatch + on-call + RCA· ↓ MTTD 50%Flow: Monitor → Debug → Fix → PreventHow to Answer Key QuestionsRamp Speed· Start with bugs → logs/dashboards → dependencies → quick winsAI Usage· Bedrock, OpenAI, prompt engineering, RAG· Used for automation + dev efficiency + insightsTech Topics to Brush Up· REST APIs, service integrations· Serverless + event-driven systems· DynamoDB vs relational· CloudWatch monitoring· RAG + prompt basics· Logging, SLAs, incident responseEmphasize· Retail experience· Hands-on delivery· AWS + distributed systems· LLM experience· Production ownership","company":"KPG","rawCompany":"kpg99","city":"Franklin","state":"TN","isRemote":false,"isActive":false,"createdAt":"2026-09-16T09:04:17.059Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Development Engineer","description":"Position is onsite in Nashville, 5 days a weekLooking for a Senior level resource that can come on boardHas to be able to sit on my w2Job DescriptionLWhat 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 ownershipYour 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 reliabilityCore Stories (Know These Cold)1. Feature Delivery· Amazon validation platform (React + TS + Python)· ↓ manual QA by 70%· Owned end-to-endFocus: impact + ownership2. Performance· DynamoDB optimization + caching· ↓ latency by 45%Focus: measurable improvement3. 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 architectureFocus: scalable + decoupled5. Production· CloudWatch + on-call + RCA· ↓ MTTD 50%Flow: Monitor → Debug → Fix → PreventHow to Answer Key QuestionsRamp Speed· Start with bugs → logs/dashboards → dependencies → quick winsAI Usage· Bedrock, OpenAI, prompt engineering, RAG· Used for automation + dev efficiency + insightsTech Topics to Brush Up· REST APIs, service integrations· Serverless + event-driven systems· DynamoDB vs relational· CloudWatch monitoring· RAG + prompt basics· Logging, SLAs, incident responseEmphasize· Retail experience· Hands-on delivery· AWS + distributed systems· LLM experience· Production ownership","datePosted":"2026-09-16T09:04:17.059Z","dateModified":"2026-09-16T09:04:17.059Z","hiringOrganization":{"@type":"Organization","name":"KPG","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Franklin","addressRegion":"TN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"44802b344e750c222c90c3f5"},"url":"https://jobsearcher.com/jobs/44802b344e750c222c90c3f5"}}