This role involves designing and implementing high-performance, reliable distributed storage systems, driving innovation from concept to deployment, and collaborating with a team of engineers to advance modern data platforms that ensure maximum uptime and scalability.
Key Responsibilities
Design and implement algorithms and technologies for high-performance, reliable distributed storage systems
Take end-to-end ownership of features and projects, including design, coding, testing, and deployment
Analyze and resolve complex problems related to distributed consensus, resource management, and data integrity
Collaborate with engineering team on code reviews, technical expertise sharing, and architectural decisions
Ensure platform performance and feature delivery align with customer needs and business impact
Requirements
Deep mastery of a programming language like C, C++, Python, or Go, with the ability to write clean, high-performance, and maintainable production code.
Proven ability to design system architecture, think critically about trade-offs, and analyze failure modes in complex, distributed environments.
A strong background in relevant systems software projects such as Distributed Systems, Operating Systems internals (Linux Kernel), Database internals, Virtualization, Hypervisors, or Containers.
Exceptional problem-solving skills and a persistent, insightful approach to tackling complex technical challenges and debugging at scale.
Ability to take end-to-end ownership of features and projects, including driving technical design, coding, testing, and deployment.
Willingness to work from the Santa Clara, CA office in an in-office environment, in compliance with company policies.
Benefits & Perks
Salary range: 149,000 - 326,000 USD
Work environment: primarily in-office at Santa Clara, CA
Work schedule: flexible time off
Additional benefits: wellness resources, company-sponsored team events, potential incentive pay and equity, accommodations for disabilities, inclusive and supportive company culture
Ready to Apply?
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