About the Role
As a software engineer on the Data Platform team, you will design, build, and operate the distributed systems powering X's data movement and compute. You will take ownership of infrastructure components that process trillions of events daily, driving the scalability, performance, and reliability of the systems that power product and ML workloads across the company.
Responsibilities
- Design and implement high-throughput, low-latency data ingestion and transport systems.
- Scale and optimize multi-tenant Kafka infrastructure supporting real-time workloads.
- Extend and tune Spark, Flink, and Trino for demanding production pipelines.
- Build interfaces, APIs, and pipelines enabling teams to query, process, and move data at petabyte scale.
- Debug and optimize distributed systems, with a focus on reliability and performance under load.
- Collaborate with ML, product, and infrastructure teams to unblock critical data workflows.
Basic Qualifications
- Proven expertise in distributed systems, stream processing, or large-scale data platforms.
- Proficiency in Rust, Go, Scala or similar systems languages.
- Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production.
- Strong debugging, profiling, and performance optimization skills.
- Track record of shipping and maintaining critical infrastructure.
- Comfortable working in fast-moving, high-stakes environments with minimal guardrails.
Compensation and Benefits
$180,000 – $440,000 USD
Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
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