Job Description
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- Compute: HPC environments, AMD/NVIDIA GPUs, Linux Kernel/OS, NUMA awareness ,CPU pinning, huge pages, and performance optimization
- Storage: NVMe storage and distributed storage systems, High performance Block, file, and Object Storage Experience
- Software-Defined Networking (SDN): Design, deployment, and operational support of SDN infrastructure
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For L1 role (Major skill required)
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- GPU infrastructure (is not mandatory)
- Networking
- Block storage
- File storage
- Production support and reliability engineering
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Hi ,
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Embedded Platform/Infrastructure Engineer (Level 2 Engineer)
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Sunnyvale, CA or San Jose, CA (5 days Onsite, Final round F2F)
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Contract & FTE (Both)
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Skill required – GPU (Must), Exposure SRE, Storage & Network, GPU Infrastructure & SDN.
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As an Embedded PE, we will function as a member of a foundation engineering team,
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owning reliability, performance, scalability, and operational excellence for critical
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infrastructure supporting fastest-growing AI cloud platforms.
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This role requires deep technical expertise in a specific infrastructure domain and the
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ability to operate across the full service lifecycle, including design, implementation,
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optimization, incident response, and roadmap planning.
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Required Qualifications
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10 to 15+ years of infrastructure engineering, platform engineering, SRE, or systems engineering
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experience.
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Deep expertise in a specific infrastructure domain.
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Strong Linux systems knowledge.
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Demonstrated experience operating production-critical infrastructure.
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Hands-on incident response and troubleshooting experience.
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Experience building automation and operational tooling.
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Ability to clearly articulate technical contributions to complex projects.
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Responsibilities
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Embed within a foundation engineering team and operate as a domain expert.
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Participate in on-call rotations and production incident management.
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Design, implement, and improve infrastructure reliability and scalability.
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Collaborate with architects and engineers on long-term technical roadmaps.
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Analyze complex infrastructure performance bottlenecks and system failures.
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Build automation to improve operations, deployment, and observability.
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Define and track service reliability objectives (SLIs/SLOs).
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Contribute to platform standards and engineering best practices.
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Partner with data center and operations teams during service-impacting events.
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Drive continuous improvements in service stability, efficiency, and performance.
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Direct: 469-421-5604 , Ext- 218 • nitesh.j@tekgence.com
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Linkedin: linkedin.com/in/nitesh-ch-a378b5222
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6655 Deseo Dr, Suite 104,Irving, TX , 75039 • www.tekgence.com