Staff Engineer, Data Services

Core Weave is the AI Hyperscaler™, delivering a cloud platform of cutting‑edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the United States and across Europe. Core Weave was ranked as one of the TIME
100 most influential companies of 2024.

We thrive in an environment where adaptability and resilience are key. Our culture offers career‑defining opportunities for those who excel amid change and challenge. If you’re someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, Core Weave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry.

Core Weave powers the creation and delivery of the intelligence that drives innovation.

The Data Platforms Team serves as the experts on data ingestion, data flow and retrieval for Core Weave. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data platform infrastructure.

We are seeking a Staff Engineer with specialization in Data Platforms and Stream Processing who can help us fulfill the goal of our multi‑regional datastore strategy and establish communication models for our data flow. This individual will work with a team of 6‑8 mixed‑skill engineers and have the opportunity to tackle a full range of rewarding challenges in a communicative, supportive, and high‑performing environment.

• Drive technical decision‑making to accelerate delivery, mentor engineers, and grow team capability.
• Champion event‑driven architecture adoption and build consensus across the organization.
• Identify and develop applications for the organization’s data, understanding business needs and creating solutions that leverage data effectively.
• Design and implement the platform to deliver data to teams with a focus on providing managed solutions.
• Develop a stream processing architecture and solve for scalability and reliability.
• Improve the performance, security, reliability, and scalability of our data platforms; participate in on‑call rotation.
• Establish guidelines, guardrails for data access and storage for stakeholder teams.
• Ensure compliance with standards for data protection regulation.
• Grow, change, invest in your teammates, be invested‑in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you’re not a 100% skill or experience match. Here are some qualities we’ve found compatible with our team. If a portion of this resonates with you, we’d love to talk.

• You have 9+ years of experience in software or infrastructure engineering.
• You understand data consistency and concurrency models, can clearly define data models and establish guidelines around data management.
• You’re familiar with distributed NewSQL data stores such as Cockroach
  
  DB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka.
• You have experience designing and operating these systems at scale.
• You’re familiar with Kubernetes and have interest or experience using it for event‑driven and/or stateful orchestration.
• You’re excited to contribute to a Kubernetes operator to manage data systems.
• You know your way around a Linux distro, shell scripting, and the Linux storage and networking stacks.
• You can transform problems into elastic solutions, decompose them into achievable tasks, and socialize with teammates.
• You have production‑level proficiency in Go or Python and are interested in contributing to open source.

At Core Weave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we…