Staff Software Engineer, Data Infrastructure Services

About the role

The Data Platforms Team serves as the experts on data ingestion, data flow and retrieval for CoreWeave. 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.

Responsibilities

• Work with a team of 6-8 mixed skill engineers and have the opportunity to work on a full range of rewarding challenges that come with building 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. This involves 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, and related services and participate in the teams on-call rotation.
• Establish guidelines, guard rails 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.

Requirements

You have 15+ years of experience in a software or infrastructure engineering industry.

You understand data consistency and concurrency models, can clearly define data models and establish guidelines around data management.

You’re familiar with distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka.

You have experience with designing and operating these systems at scale.

You’re familiar with Kubernetes and have interest or experience with using it for event-driven and/or stateful orchestration.

You’re excited to have the opportunity to contribute to a Kubernetes operator in order 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 in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates.

You have production level proficiency in Go or Python and you’re interested in contributing to open source.

Qualifications

To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

Benefits

• Base salary range: $207,000 to $275,000
• Total rewards package including a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Pay

The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

Schedule

We strive for both market alignment and internal equity when determining compensation.