Staff Infrastructure Engineer (Storage)

Posted Yesterday
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Santa Clara, CA, USA
In-Office
Expert/Leader
Artificial Intelligence • Robotics
The Role
Own the architecture and evolution of large-scale storage systems, including data organization, partitioning, indexing, access patterns, durability, performance, and cost efficiency. Design self-service storage interfaces, optimize I/O and data paths, lead migrations and adoption across teams, and quantify production improvements. The role requires strong cross-functional communication, product judgment, and experience operating reliable storage infrastructure.
Summary Generated by Built In
Job Description:Job Overview

We are looking for a Staff Infrastructure Engineer to shape a storage system that is easy for business teams to use and relentlessly cost-efficient. You will own its architecture, data organization, and long-term evolution as workloads grow.

What You Will Own
  • Design storage architecture around workload needs, defining data layout, partitioning, indexing, metadata, and access patterns.

  • Drive down total cost through tiering, lifecycle management, compression, deduplication, and reduced data movement, with explicit durability and performance targets.

  • Build practical storage interfaces and self-service capabilities; make ingestion, discovery, access, and troubleshooting straightforward for users.

  • Align product, data, research, and infrastructure teams on requirements, ownership, and migration plans; lead adoption and verify improvements in production.

What We Look For
  • Deep experience designing and operating large-scale storage systems, with sound judgment on consistency, replication, failure recovery, and capacity planning.

  • Hands-on ability to diagnose I/O bottlenecks and optimize data structures and read/write paths against representative workloads.

  • Strong cost discipline: you can quantify storage, requests, retrieval, network transfer, and operational overhead, then validate savings without compromising agreed service levels.

  • Exceptional cross-team communication and collaboration: you can reconcile conflicting needs, explain tradeoffs, build consensus without direct authority, and follow through on shared commitments.

  • Product sense and technical taste, with the ability to navigate ambiguity and turn recurring business needs into simple, maintainable infrastructure. Experience delivering storage migrations or shared data services across teams is a plus.

What We Would Like to See When You Apply
  • We encourage a resume beyond a traditional career timeline. Show a storage system you owned, your design decisions, how you secured cross-team adoption, and measurable cost or performance improvements with their baseline and constraints.

  • Your resume MUST include the exact word “Maxinsights”. Applications without it will be automatically filtered out by our internal agent.

Default Benefits:
  • Health insurance

  • Vision care

  • Dental coverage

  • 401(k)

  • Paid holidays

  • PTO (Paid Time Off)

  • Sick leave

Skills Required

  • Deep experience designing and operating large-scale storage systems
  • Expertise in consistency, replication, failure recovery, and capacity planning
  • Hands-on ability to diagnose I/O bottlenecks and optimize data structures and read/write paths
  • Ability to quantify storage, request, retrieval, network transfer, and operational costs
  • Strong cross-team communication and collaboration skills
  • Ability to reconcile conflicting needs, explain tradeoffs, build consensus without direct authority, and follow through on commitments
  • Product sense and technical judgment for building simple, maintainable infrastructure
  • Experience delivering storage migrations or shared data services across teams
  • Resume must include the exact word Maxinsights
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The Company
6 Employees
Year Founded: 2024

What We Do

Maxinsights provides scalable, high-quality, human-centric training data for Physical AI and robotics foundation-model companies. Its end-to-end data solution combines a globally distributed capture network, customizable workflows, and quality-assurance processes to make training data faster and more reliable to obtain. The company’s mission is to build the global data foundation for Physical AI by delivering data at scale with unmatched quality.

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