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# Senior Software Engineer

- **Company:** Enterprise
- **Location:** Henderson, NV, United States
- **Experience:** Expert
- **Salary:** $118,560.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Software Bug Management, Software as a Service, Continuous Integration, Software Debugging, PostgreSQL, Node.Js, Next.js, TypeScript, Graphics Processing Unit (GPU), Large Language Models, Technical Debt, Hardware Infrastructure, Code Restructuring
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a7e8623c33b5c93b

## About the Role

Do you have experience in Systems engineering?, * 5+ years building production systems (SaaS, infra, or platform engineering)

 * Strong TypeScript/Node + Postgres experience (Prisma a plus)
 * Deep understanding of system design, failure modes, and data modeling
 * Comfortable working with and improving AI-generated code
 * Experience owning production systems and on-call responsibility
 * GCP experience (Cloud Run, Cloud SQL, Secret Manager) is a plus
 * Bonus: experience with LLM systems, agent workflows, or MCP

## Description

* Internal LLM stack running on owned GPU infrastructure (~500 GPUs)
 * GPU-as-a-Service on remaining capacity

Claude is integrated across the platform. We own the data plane, compute, and model layer - not just an API wrapper.

The role

We moved fast to get real customers live (PacketFabric, Qwilt, DTIQ, WeLink, Element8). The system works - but parts are still fragile.

Your job is to take what exists and harden it into production-grade infrastructure: reduce technical debt, improve reliability, and turn AI-generated scaffolding into a system a senior engineer would be proud to own.

What you'll do

 * Refactor the multitenant CRM/ticketing stack (Next.js, Cloud Run, Cloud SQL, Prisma) for correctness, performance, and isolation
 * Stabilize and make deterministic the autonomous agent pipeline (bug triage * fix * review)
 * Implement proper CI/CD, migration tracking, secret management, and deploy safety
 * Build real observability (logs, traces, error budgets) instead of ad-hoc debugging
 * Own integration between CRM, MCP servers, and LLM/GPU layers
 * Set engineering standards while mentoring a mix of engineers and AI agents


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