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Principal Engineer, Data Path / Metadata / Performance (StorageGRID)

  • Vancouver, BC, Canada

The target salary range for this position is 227,800 - 338,800 USD and for Vancouver, Canada $225,250 - $291,500 CAD.The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. · Full-time

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Job details

Pay
The target salary range for this position is 227,800 - 338,800 USD and for Vancouver, Canada $225,250 - $291,500 CAD.The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range.
Job type
Full-time
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Posting language
English
Posted

Original job description

Job Summary

Job Summary

NetApp is pioneering object storage - S3-compatible, software-defined storage that powers the exponential growth of AI data lakes, analytics, and exabyte-scale enterprise data. As a Principal Engineer for Datapath / Performance, you will own the architecture and technical direction of the StorageGRID S3 data path and its end-to-end performance.

This role is ideal for a deeply hands-on technical leader who thrives at the intersection of distributed systems, storage internals, and high-scale performance engineering. You will set the bar for a mission-critical product deployed at hundreds of nodes and exabytes of capacity across the world’s largest enterprises and hyperscalers.

Role Overview

As a Principal Engineer on the StorageGRID team, you will be the technical authority for the S3 data path including metadata and performance. You will define the architectural north star for how StorageGRID moves and serves data and resolve the hardest performance and scaling problems affecting AI data lakes.

At the Principal level, the role requires exceptional hands-on technical depth, sound architectural judgment, and the ability to influence direction across engineering, QA, product management, and field teams.

Job Responsibilities

  • Datapath Architecture
  • Own the architecture and technical implementation of the StorageGRID S3 data path - from ingest/retrieve/delete to metadata storage to the on-disk replicated/erasure-coded data flow.
  • Lead performance analysis, benchmarking then identify performance improvements and deliver.
  • Design for scale and geo-distribution - multi-site, cross-grid replication, and global/federated namespace behavior at hundreds of nodes and exabyte scale
  • Drive large, cross-cutting data path initiatives from architecture through implementation, validation, and release readiness
  • Hands-On Technical Leadership
  • Stay deep in the code and the hardest bugs; set the technical bar through high-quality design, reviews, root-cause analysis, and pragmatic engineering standards
  • Lead StorageGRID designs and drive architectural alignment across data path engineering.

Job Requirements

  • 12+ years of experience in systems, storage, distributed systems, or performance engineering, with a track record of technical leadership
  • Strong hands-on programming skills in one or more of C/C++, Go, or Python, and experience debugging distributed software in Linux-based environments
  • Built or owned an object storage system, S3 implementation, or large-scale distributed storage/database product including request data path, data placement, replication/erasure coding, consistency, and failure handling
  • Experience with Apache Cassandra or comparable distributed databases at scale
  • Proven ability to influence technical direction across teams without direct authority
  • Mentor Senior and MTS engineers on data path internals, performance optimization, distributed-systems design, and debugging practices
  • Collaborate with quality engineering, product management, supportability, support, and field teams to translate customer requirements into data path and performance improvements

Nice to Have Qualifications

  • Experience with S3 protocol semantics (multipart, versioning, Object Lock/WORM) and the data path implications of the API contract
  • Experience with load balancing, network, storage media (NVMe/SSD/HDD), and x86 hardware
  • Experience with AI-assisted development and observability tooling for analysis, debugging, testing, and documentation

Education

IC - Typically requires a minimum of 15 years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience.

Compensation:

The target salary range for this position is 227,800 - 338,800 USD and for Vancouver, Canada $225,250 - $291,500 CAD.The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

More about this job

Responsibilities

The Principal Engineer at NetApp will own the design and implementation of the StorageGRID data path, from storing and retrieving objects to metadata and disk data flow. They will lead performance analysis, design for large multi-site scale, and stay hands-on in the code while mentoring senior engineers.

Requirements

Candidates need 12+ years of systems, storage or performance engineering experience with technical leadership. They need strong programming skills in C/C++, Go or Python, experience with distributed storage or S3 products, and experience with Apache Cassandra or similar databases at scale.

Skills

  • Apache Cassandra
  • S3 API
  • Object storage
  • Distributed systems
  • Erasure coding
  • Data replication
  • C/C++
  • Go
  • Python
  • Linux
  • Performance benchmarking
  • Root-cause analysis
  • Storage internals
  • NVMe
  • SSD
  • HDD
  • x86 hardware
  • Load balancing
  • S3 Object Lock
  • S3 versioning
  • Observability tooling
  • Technical mentoring
  • Architecture design

Benefits

  • Health insurance
  • Life insurance
  • Retirement or pension plans
  • Paid time off
  • Leave options
  • Employee stock purchase plan
  • Restricted stock units

Categories

  • Software
  • Technology
  • Data & Analytics
  • Engineering

Keywords

  • object storage
  • S3
  • StorageGRID
  • distributed systems
  • storage internals
  • performance engineering
  • data path
  • metadata
  • erasure coding
  • replication
  • Apache Cassandra
  • C++
  • Go
  • Python
  • Linux
  • AI data lakes
  • multipart upload
  • Object Lock
  • NVMe

Seniority

Lead

Perks

  • Generous paid time off
  • Retirement plan
  • Stock or equity

Tools

  • Apache Cassandra
  • Linux

Languages

  • English

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