Everpure, Inc. is seeking a Hardware Engineer to design and optimize compute, storage, and networking platforms that power modern data and analytics workloads. You'll architect and validate high performance server and edge configurations for cloud and hybrid environments, working closely with data engineers and architects to align hardware with demanding AI, analytics, and BI use cases. Responsibilities include requirements analysis, component selection, performance benchmarking, capacity planning, and reliability testing. You'll document designs, automate validation where possible, and collaborate across teams in a flexible, learning focused culture.
Responsibilities
- Design and document hardware architectures for data, analytics, and AI workloads.
- Select and evaluate server, storage, and networking components for performance and reliability.
- Run performance benchmarks, stress tests, and capacity analyses on proposed configurations.
- Collaborate with data engineers and architects to align hardware capabilities with solution requirements.
- Automate portions of validation, monitoring, and reporting via scripting.
- Troubleshoot hardware-related performance and reliability issues in test and production-like environments.
- Maintain clear technical documentation, standards, and diagrams for deployed platforms.
- Stay current on emerging hardware technologies relevant to analytics and cloud workloads.
Required Skills
- Hardware architecture design
- Server and storage systems
- High performance computing platforms
- Networking fundamentals (TCP/IP, VLANs)
- Performance benchmarking and tuning
- Capacity planning and sizing
- Reliability and stress testing
- Scripting for automation (Python/Bash/Power
- Shell)
- Cloud and hybrid infrastructure concepts
- Documentation and technical specifications