Senior Developer Infrastructure Platform
5C DATA CENTERS USA INC.
Springfield, OH, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$90,000.0 - $120,000.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Apache CloudStack
Computer Clusters
Nvidia CUDA
DevOps
Protocol Buffers
Java Virtual Machine (JVM)
Python (Programming Language)
Open Source Technology
OpenStack
PCI Express
Service Design
+14 more
Software Engineering
Data Streaming
Management of Software Versions
Large Language Models
Multi-Agent Systems
Spring-boot
Kubernetes Helm Charts
Kubernetes
Bare Metal
Machine Learning Operations
Virtual Agents
Api Design
Api Management
Crud
Job description
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.
Requirements
- 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, * 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’.
Benefits & conditions
Pulled from the full job description
- 401(k)
- Paid time off
- Vision insurance
- Dental insurance
- Life insurance
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Prepare application
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