An HPC Systems Engineer to administer and manage HPC clusters, storage systems, and high-speed networks, providing application support to SpaceX personnel across engineering disciplines.
Responsible for the engineering of Cloud Infrastructure Platforms to provide robust, reliable and cost-efficient Platform so that we can deliver the best experience for our growing customers base.
Compensation
Annual salary paid in 12 installments (monthly) Based on skills, experience, and abilities Reviewed once a year Late overtime allowance
Responsibilities
Architect and build a robust, scalable and stable infrastructure
Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime
Architect and build Infrastructure with AWS regional level failure tolerance
Work together with our Security Engineers to provision a secure Infrastructure
Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers
Requirements
Bachelor’s degree and above in a Computer Science related field
Nice to have: AWS Professional or Specialty certification
Senior big data engineer to build world‑class data platforms/products at a very large scale across multiple cloud environments running on S3, Kafka, Flink, Spark, LLMs and AI/ML.
Responsibilities
Automate processes and document them for others
Provide incident resolution for all technical production issues
Create and maintain accurate, up-to-date documentation
Write justifications, training materials, status reports, and procedures
Interact with Apple staff and management
Requirements
Bachelor's in Computer Science or Computer Engineering or equivalent work related experience
Nice to have: MS in Computer Science or equivalent with 5+ years of overall industry experience
Nice to have: CI/CD practices
Nice to have: open-source software development
Nice to have: automation and engineering processes
Join the Server Certification team to develop Python based testing tools used to test Ubuntu Server on the latest enterprise hardware, ensuring a smooth, secure out of the box Ubuntu experience.
Responsibilities
Contribute to Canonical’s open source testing tools such as Checkbox and Testflinger
Troubleshoot issues related to hardware compatibility, functionality, and performance
Technically support Canonical’s hardware partners in their hardware certification efforts
Educate the partner about Canonical’s tools, processes, and product roadmaps
Support Canonical’s internal teams on customer deployments of Canonical’s suite of Datacenter and Cloud products that utilize the partner’s hardware
Requirements
Nice to have: test automation tools for validating hardware compatibility
Lead and manage on-site data center operations, ensuring uptime, efficiency, and reliability while supervising a team of technicians.
Compensation
The base salary range for this role is $95,000 to $105,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Lead a team of data center technicians in daily operations, including server maintenance, equipment installation, and troubleshooting.
Develop and implement best practices for data center operations to maximize efficiency and uptime.
Coordinate with cross-functional teams to support client projects and ensure seamless service delivery.
Perform regular inspections and audits of data center equipment to maintain optimal performance and reliability.
Respond to and resolve technical issues and emergencies promptly to minimize downtime and disruption.
Requirements
Bachelor’s degree in information technology, computer science, or a related field (or equivalent experience).
Nice to have: Computer hardware troubleshooting and repair
Support, operate, and maintain CoreWeave’s GPU fleet across data centers in the U.S., Europe, and beyond.
Compensation
The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Provide high-level support to customers using bare-metal GPU fleets on CoreWeave Cloud
Diagnose, triage, and investigate customer issues and high-priority incidents
Build a deep understanding of customer workloads and use cases to provide tailored technical support
Coordinate remote troubleshooting and hardware interventions with Data Center Technicians
Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles
Operate, scale, and secure MongoDB clusters on a Kubernetes-based infrastructure, ensuring performance, resilience, and compliance.
Compensation
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 - $232,200/annually, with an expected On Target Earnings (OTE) between $144,000 - $258,000/annually (including bonus or commission).
Responsibilities
Operate production MongoDB clusters running in Kubernetes across multiple regions and clouds
Monitor cluster health, performance, replication, and storage usage, and proactively address degradation
Debug and resolve availability, latency, or data consistency issues in partnership with SREs
Participate in on-call rotations as a subject matter expert for MongoDB infrastructure
Automate routine operations such as database user management, cluster scaling, version upgrades, and backup restores
Operate, scale, and secure MongoDB clusters on a Kubernetes-based infrastructure, ensuring performance, resilience, and compliance.
Compensation
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 - $232,200/annually, with an expected On Target Earnings (OTE) between $144,000 - $258,000/annually (including bonus or commission).
Responsibilities
Operate production MongoDB clusters running in Kubernetes across multiple regions and clouds
Monitor cluster health, performance, replication, and storage usage
Debug and resolve availability, latency, or data consistency issues
Participate in on-call rotations as a subject matter expert
Automate routine operations such as database user management, cluster scaling, version upgrades, and backup restores
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