Senior Developer Infrastructure Platform
- Location
- USA
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- USD 90,000–120,000/yr
Posted 2mo ago
Senior Developer Infrastructure Platform - - 5C Data Centers USA, Inc. Jobs
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Senior Developer Infrastructure Platform
- USA
- 90,000-120,000 per year $90,000 - $120,000
- Salary
- Full Time
- Health, Dental & Vision, 401(k), Life Insurance, Voluntary Benefits, PTO
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THE ROLE
We're building the platform that other engineers build on top of. You'll design and ship production services, internal SDKs, and Kubernetes operators that abstract away the complexity of our hybrid infrastructure; spanning CloudStack, bare-metal GPU clusters. You write code that other teams depend on, which means you care deeply about API contracts, backward compatibility, and not breaking things quietly.
This is a software engineering role. You'll be expected to own services end-to-end; design, implementation, testing, and the occasional 3am page when something in the critical path breaks.
MUST-HAVES
- Java; not just familiarity. You understand concurrency, JVM internals, and have worked in large codebases with real engineering process.
- Go; production services, not just tooling scripts. You've written Go that other engineers depend on.
- Python; clean, testable, packaged. Not ad-hoc scripts.
- Kubernetes; deep. You've written an operator or custom controller from scratch, not just applied Helm charts.
- OpenStack or CloudStack; you can explain how a compute scheduler works, not just 'we used it'.
- gRPC / protobuf; service design, streaming, schema evolution.
- API design discipline; versioning, backward compatibility, contracts. You've had to think about what happens when you break something downstream.
- Hardware awareness; you've debugged at the hypervisor, driver, or bare-metal level at least once.
STRONG PLUS
- GPU compute; CUDA, MIG, vGPU, device plugins, PCIe passthrough, SR-IOV.
- Agentic AI / ML (practitioner level); LLM API integration, agent frameworks (LangChain / LlamaIndex), RAG pipeline design, vector DBs, MLOps fundamentals. You've shipped a system where a model is in the critical path and debugged it when it misbehaved.
- Inference basics; vLLM, Triton, or similar. Enough to understand what the platform needs to support.
- Open Source development experience, on a large project
WHAT WE DON'T WANT
- A DevOps engineer who primarily operates infrastructure and writes pipelines. This role ships software.
- Someone whose Java experience stops at Spring Boot CRUD applications.
- Someone who can't discuss software design trade-offs under interview pressure; not just 'what we did' but 'what we considered and why'.
THIS POSITION HAS BEEN CLOSED!
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Skills
- Java
- Go
- Python
- Kubernetes
- OpenStack
- CloudStack
- gRPC
- protobuf
- CUDA
- MIG
- vGPU
- PCIe
- SR-IOV
- LangChain
- LlamaIndex
- vLLM
- Triton
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