Staff Data Platform Engineer: Stream Processing & Scale

Socket.dev

Bellevue, Sunnyvale (WA, CA)

On-site

USD 207,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) with generous match
Paid parental leave
Tuition reimbursement
ESPP eligibility
Flexible PTO

Job summary

CoreWeave is seeking a Staff Engineer specialized in data platforms and stream processing. You will work with a 6-8 person team on a multi-regional datastore strategy, building scalable data flow and communication models.

Expect involvement in architecture decisions, on-call rotations, and cross-team collaboration to accelerate delivery. You should bring 15+ years in software/infrastructure engineering, experience with distributed datastores and stream tools, and strong Go/Python capabilities.

Qualifications

  • 15+ years of software or infrastructure engineering experience.
  • Strong data modeling and data management guidelines.
  • Familiar with distributed datastores and stream processing tools.
  • Experience designing/operating large-scale systems.
  • Knowledge of Kubernetes for event-driven/stateful orchestration.

Responsibilities

  • Drive technical decisions, mentor engineers, and grow team capability.
  • Champion event-driven architecture across the org and build consensus.
  • Design platform to deliver data with managed solutions for teams.
  • Develop a scalable stream processing architecture for reliability.
  • Improve data platform performance, security, reliability, and on-call readiness.
  • Establish data access/storage guardrails and compliance with standards.

Skills

Go
Python
Kubernetes
Kafka
NATS
CockroachDB
TiDB
Yugabyte
Linux
Shell scripting

Job description

CoreWeave is seeking a Staff Engineer specialized in data platforms and stream processing. You will work with a 6-8 person team on a multi-regional datastore strategy, building scalable data flow and communication models.

Expect involvement in architecture decisions, on-call rotations, and cross-team collaboration to accelerate delivery. You should bring 15+ years in software/infrastructure engineering, experience with distributed datastores and stream tools, and strong Go/Python capabilities.

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