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Software Engineer - Storage

$70,000 - $297,000/Yr

Twitter - Palo Alto, CA

posted 7 days ago

Full-time - Mid Level
Palo Alto, CA
Professional, Scientific, and Technical Services

About the position

Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become the trusted global digital public square, committed to protecting freedom of speech and building the future unlimited interactivity. Our goal is to empower every user to freely create and share ideas, fostering open public discourse without barriers. Join us in shaping this thrilling journey where your contribution will be invaluable to our success!

Responsibilities

  • Design, build and launch to production new features and improvements aimed at unifying common components across the storage systems
  • Dive into performance issues and work with customers to deliver solutions to cater to customers' latency, availability and data durability requirements
  • Actively collaborate with partner teams and our customers to build and deliver features and integrations that comply with Privacy and Data Protection standards
  • Help containerize X scale database services which will be the largest stateful workloads to run on Kubernetes in a datacenter hosted environment
  • Demonstrate ownership of the services you build by going oncall and lead initiatives to improve service reliability
  • Lead and drive incident responses and recovery with peers, review and contribute to incident postmortems
  • Work in a collaborative environment and uplevel peers by mentoring, code and design reviews
  • Be open to develop new skills and learn on the job as we navigate new technology spaces
  • Ground decisions with data and reasoning and adapt to new information to make informed choices.

Requirements

  • B.S.+ in Computer Science or related field (or equivalent experience)
  • 3+ years of experience in software engineering
  • Experience with building or operating distributed systems, and asynchronous programming
  • Strong computer science fundamentals, algorithms, and data structures background
  • Model of software engineering best practices, including agile development, unit testing, code reviews, design documentation, debugging, and troubleshooting
  • An understanding of continuous integration and a strong drive toward automation
  • Proficient in multi-threading, scaling, concurrency, caching, queuing and RPC
  • A strong reliability first mindset

Nice-to-haves

  • Previous experience with storage systems and Kubernetes
  • Familiarity with JVM-based languages
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