storage systems, data platforms, cloud infrastructure
The posting, condensed
Performance Technical Lead for FlashBlade//EXA storage system. Role bridges systems performance engineering, benchmarking, and competitive intelligence for exascale disaggregated storage. Stack includes NFS, S3, RDMA, GPU clusters, MLPerf Storage, IO500.
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
As the Performance Technical Lead for FlashBlade//EXA, you will define and own the end-to-end performance narrative for Everpure’s exascale disaggregated storage architecture built for AI factories. In this strategic and hands-on role, you will bridge systems performance engineering, benchmark architecture, and competitive intelligence to establish how //EXA is engineered, proven, and positioned against leading competitors in HPC and hyperscale AI infrastructure. You will partner directly with engineering, product management, and field sales teams to drive high-impact architecture evaluations and showcase Everpure’s leadership in high-throughput workloads.
WHAT YOU'LL DO
Architect and Define Performance Roadmaps: Translate deep storage protocol expertise (NFSv3 direct-to-DN, pNFS, S3) into technical performance requirements for //EXA’s disaggregated data path to resolve GPU-starved read patterns, metadata storms, and bursty HPC workloads.
Drive Strategic Market Alignment for GPU/Sovereign Cloud: Align //EXA’s performance roadmap, sizing guidance, and reference architectures with the buying criteria and operational needs of multi-tenant GPU-cloud and sovereign-cloud operators.
Establish Competitive Performance Technical Positioning: Develop rigorously substantiated architectural analyses comparing metadata scaling, durability tradeoffs, and GPU-direct paths to empower field engineering during customer technical evaluations and POCs.
Optimize Stack-Wide Tuning and Benchmarking: Lead end-to-end performance validation across storage, RDMA networking, and compute, while building reproducible benchmark suites (MLPerf Storage, IO500, elbencho) that validate public claims and demonstrate market superiority.
Define Multi-Tenant QoS and SLA Guarantees: Establish technical requirements and validation frameworks for quality-of-service, workload isolation, and IOPS limits to deliver predictable SLA commitments in shared deployments.
WHAT YOU BRING
Proven expertise in storage performance engineering across file, block, and object protocols (such as parallel filesystems, pNFS/NFS at scale, and S3-scale object stores).
Storage Performance Architecture Expertise:
GPU Cluster & Fabric Knowledge: Strong working knowledge of GPU cluster architecture, including RDMA fabrics, GPUDirect Storage, checkpoint/restore dynamics, and resolving bottleneck patterns across compute, network, and storage layers.
Benchmarking & Load Generation Mastery: Proficiency with industry benchmark standards (MLPerf Storage, IO500) and load-generation tools (elbencho, fio, vdbench), alongside the capability to design custom, workload-representative tests.
Competitive Analysis & Systems Design: Demonstrated ability to perform architecture-level competitive analysis, along with a firm grasp of multi-tenant resource management concepts (QoS, rate limiting, and workload isolation) in distributed systems.
Cross-Functional Technical Leadership: Ability to navigate complex technical discussions across the full stack—from debugging low-level network queue stalls to articulating system capabilities directly to customer evaluation teams.
Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.
#LI-ONSITE
Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoing basis until the job is filled.
The annual base salary range is:
$239,000
—
$359,000 USD
WHAT YOU CAN EXPECT FROM US:
Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
Team: We build each other up and set aside ego for the greater good.
And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.
ACCOMMODATIONS AND ACCESSIBILITY:
Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [email protected] if you’re invited to an interview.
OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:
We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.
Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.
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