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X Corp.

Software Engineer - Storage

Posted 7 Days Ago
Be an Early Applicant
3 Locations
Mid level
3 Locations
Mid level
As a Software Engineer in the Storage team, you will design, build and launch features for storage systems, address performance issues, containerize large-scale database services, and enhance service reliability while collaborating across teams. You will mentor peers and drive incident responses, ensuring data compliance and effective decision-making based on data and reasoning.
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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!

  

Role: Software Engineer - Storage
Location: Palo Alto or London, UK
Salary Range: $70,000 to $297,000 + Equity

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Who We Are:

X serves our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and create a marketplace that enables the economic success of all its participants.

X’s globally distributed, real-time communications network generates trillions of events and petabytes of data per day. The Realtime Storage Team provides the storage layer that enables products and services at X to be fast, highly scalable, and always available. We own Manhattan (an internally-developed distributed, persistent key-value store for low-latency high-throughput use cases), GraphStore (an internally-developed distributed database used to store relationships between users, tweets and other entities), Blobstore (an internally-developed object store), Cache (hundreds of Memcached and Redis clusters) and MySQL (tens of clusters). To handle X’s scale, we build world-class distributed storage solutions that help serve critical X services with low latency from our own datacenters. We run tens of thousands of database nodes that process hundreds of millions of requests per second!

What You’ll do:

In this role, you will: 

  • 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 and 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’ll allow us to store and retrieve data that is compliant to Privacy and Data Protection standards.

  • Help us 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 your peers. Review and contribute to incident postmortems and hold a high bar for the same.

  • Work in a collaborative environment and uplevel your peers by doing mentoring, code and design reviews.

  • Be open to develop new skills and learn on the job as we navigate new technology spaces.

  • Ground your decisions with data and reasoning and adapt to new information to make informed choices.

Qualifications

  • 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

  • Previous experience with storage systems and Kubernetes is a plus

  • Familiarity with JVM-based languages is a plus

Top Skills

Jvm-Based Languages

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