CoreWeave is a specialized cloud provider focused on GPU accelerated use cases including VFX, AI/ML, Batch Processing and Real Time Experiences. We support countless AI/ML services in the text to image, NLP and broader AI/ML space, reducing client’s infrastructure management requirements with our Kubernetes based serverless GPU cloud offerings.
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CoreWeave
CoreWeave is a specialized cloud provider focused on GPU accelerated use cases including VFX, AI/ML, Batch Processing and Real Time Experiences. We support countless AI/ML services in the text to image, NLP and broader AI/ML space, reducing client’s infrastructure management requirements with our Kubernetes based serverless GPU cloud offerings.
About the role:
An engineering practice is only as healthy as its foundational dependencies and CoreWeave’s Kubernetes Infrastructure Team supports the platform and tools that underpin nearly every part of the cloud. Responsible for our internal Kubernetes-on-metal clusters in each datacenter, engineers on this team have the mission to manage and scale Kubernetes in one of one of the fastest growing clouds in the world. The domain of bare-metal day-0+ reliability engineering offers unique and rewarding challenges in orchestration, fleet operations, testing, observability and automation and every team member will have opportunities to develop their skills with Kuberenetes in an environment unique to being a cloud-builder, not just a cloud-consumer.
We are seeking a Senior Engineer to join the Kubernetes Infrastructure team and help us grow our orchestration platforms in scale, reliability, and featureset. This individual will join a team of 4-6 mixed-skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a member of the Kubernetes Infrastructure Team, you would have the opportunity to:
- Design and implement solutions to fascinating problems of scale for provisioning and managing (many) bare-metal Kubernetes clusters in a hands-free, growing environment.
- Develop a toolchain and program for testing and developing against a complex cloud environment at a scale that remains agile.
- Create custom Kubernetes interfaces, gateways, and orchestrators all managed using Gitops tools such as Argo CD and Helm.
- Improve the performance, security, and reliability of our internal Kubernetes platforms and participate in the Kubernetes Infrastructure on-call rotation.
- Build dashboards, alerts, and insights into the customer experience using Grafana and Prometheus ecosystem tools.
- Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't 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 two or more years of experience in a software or infrastructure engineering industry
- You have experience operating services in production and at scale.
- You have some experience using Kubernetes with a conceptual understanding of its major components and/or have administered unmanaged (eg, not EKS/GKE) Kubernetes clusters with some form of automation such as KubeSpray.
- You’re comfortable with the idea of using Go as your primary programming language.
- You know your way around a Linux distro, shell scripting, and/or the Linux storage and networking stacks.
- You’re interested in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design.
- You can transform problems in elastic architectures, decompose them into achievable tasks, and socialize both to your teammates.
- You’re excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $185,000 to $200,000 annually. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Hybrid Workplace
Successful candidates will be expected to attend onboarding training at our NJ Headquarters within their first several weeks of employment, with subsequent quarterly travel requirements of 1 week duration.
If you reside within a 30-mile radius of our New Jersey, New York, or Philadelphia offices, we're excited for you to join us at the office at least three times a week, recognizing the significance we place on fostering connections, collaboration, and creativity within our office culture. Our commitment to operating as a hybrid workplace underscores our dedication to enabling our employees to tailor their work-life balance to their individual preferences.
CoreWeave is a specialized cloud provider focused on GPU accelerated use cases including VFX, AI/ML, Batch Processing and Real Time Experiences. We support countless AI/ML services in the text to image, NLP and broader AI/ML space, reducing client’s infrastructure management requirements with our Kubernetes based serverless GPU cloud offerings.
About the role:
***Please note that this is a night shift role, which operates from 12am - 12pm EST, Monday through Wednesday and every other Thursday***
The Cloud Operations Team is the heart of CoreWeave’s operational practice. As a Cloud Operations Engineer, you’ll work as a team in a Virtual (remote) Operations Center responding to performance and availability issues across the CoreWeave cloud. This role places you on the front line of operations, bridging the gap between Customer Support and Service Owning teams. Working in shifts ensuring 24x7 coverage, you’ll develop proactive health monitoring, triage alerts and incidents serving in the commander role during Priority Incident events, and participate in ongoing analysis and reliability improvement practices.
Collaborating across development and engineering, this role allows you to operate horizontally and vertically within the CoreWeave ecosystem to root out problems, initiate and coordinate responses, and drive lower MTTR and MTTD scores.
This role is ideal for an individual with broad technology and troubleshooting skills who has the desire to expand their knowledge in critical areas such as networking, storage, Kubernetes, automation, and observability. Candidates in this role likely aspire to a career as an SRE, domain specific engineer or engineering management.
You will work with a team of 8 Operations Engineers and have the opportunity to work on the full gamut of rewarding challenges that come with operating the AI Cloud in a communicative, supportive, and high-performing environment.
As a member of the Cloud Operations Team you have the opportunity to:
- With a customer first mindset, proactively identify performance and availability issues in production
- Interpret operational and observability data to assess system performance and adherence to Service Level Objectives
- Investigate, validate and triage alerts and incidents
- Enable insight into the customer experience by developing and maintaining dashboarding and alerting
- Provide Tier 2 support for internal and customer facing services
- Act with autonomy to initiate and coordinate response to priority incidents as Incident Commander
- Participate in, and/or conduct incident post mortems
- Draft Post Incident Review documents
- Identify opportunities and implement solutions to improve response processes
- Partner with SRE and Service Owning teams to ensure operational readiness for services and applications
- Create and maintain knowledge articles and documentation
- Learn and navigate the tools, systems and processes that enable the AI cloud
- Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and above all, be yourself.
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't 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 enjoy using observability data to visualize service health, and triangulate proximate cause of performance and availability issues.
- You have experience in a support capacity with broad understanding and ability to navigate and interact with modern applications and infrastructure
- You are comfortable managing communication and coordinating multiple engineers during an incident
- You have a desire to learn or have experience with automation.
- You are comfortable with the idea of working on the Linux CLI and have a foundational understanding of scripting including elements such as conditionals, variables, and loop structures.
- You’re comfortable in open source environments.
- You’re excited to help bootstrap a new team and contribute to developing processes that enable the future scalability of the team.
- You are open to feedback, coaching, and being an active participant in improving how the team functions
- You’re excited to join a team with diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $110,000-$140,000 annually. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Hybrid Workplace
If you reside within a 30-mile radius of our New Jersey, New York, or Philadelphia offices, we're excited for you to join us at the office at least three times a week, recognizing the significance we place on fostering connections, collaboration, and creativity within our office culture. Our commitment to operating as a hybrid workplace underscores our dedication to enabling our employees to tailor their work-life balance to their individual preferences
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