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- Tasks: Support customers on a GPU cloud platform and manage complex technical issues.
- Company: Join a pioneering company shaping the future of cloud infrastructure with a focus on sustainability.
- Benefits: Enjoy unlimited holiday, share options, and 100% remote work.
- Why this job: Be part of a collaborative team with fantastic growth opportunities in a flexible workplace.
- Qualifications: 2+ years in IT support, Linux skills, and proficiency in scripting languages required.
- Other info: Work on a flexible shift pattern covering -8 or +8 time zones.
The predicted salary is between 36000 - 60000 £ per year.
Mid-level GPU Cloud Support Engineer | Fully Remote | +8 or -8 Time zone cover | Unlimited holiday
Your new company
I have partnered exclusively with a pioneering company that is shaping the future of cloud infrastructure. Their innovative, high-performance, and GPU-optimized platform not only drives advancements in AI and HPC but also champions sustainability for a greener, more efficient world.
This role is fully remote with no expectation to ever be in an office. You\’ll also enjoy the fantastic perk of unlimited holiday, allowing you to recharge and thrive.
Your new role
As a Mid-level GPU Cloud Support Engineer, you will be responsible for providing support to customers on a GPU cloud platform as well as customer-dedicated GPU clusters. This role involves working closely with cross-functional teams, external vendors, and partners to uphold SLA commitments and maintain operational excellence.
Key Responsibilities:
- Incident Management: Receive and triage support enquiries, investigate unresolved complex issues related to storage (e.g. Vast, Weka etc.), networking (e.g. Infiniband, RoCE), and GPU optimisation.
- GPU Cloud Support: Triage issues and provide timely resolutions, working within defined SLAs for critical incidents, including system outages and performance issues.
- Cluster Monitoring: Conduct health checks of multi-node clusters, ensuring node performance, GPU utilisation, and service availability are optimal.
- Documentation: Maintain detailed records of incidents, troubleshooting steps, resolutions, and root cause analyses.
- Collaboration: work in real-time with internal and external stakeholders.
- User Assistance: Provide users with best-endeavour guidance on their interactive tools.
What you\’ll need to succeed
- Crucially, you must be willing to work on either a -8 or +8 shift pattern.
- Support Background: 2+ years of experience in an IT support role, preferably in GPU cloud environments.
- Linux system administration from the Command Line.
- Scripting and Automation: Proficiency in scripting languages (Bash, Python etc.).
- Tools and Platforms: Familiarity with ITSM tools (e.g. ServiceNow, Jira Service Management) and monitoring solutions.
What you\’ll get in return
- Share options.
- Unlimited holiday policy.
- 100% Remote working.
- Fantastic opportunities to develop – they make a habit of promoting in house.
- A great team with a passion for working collaboratively.
- Enhanced family friendly policies.
- A truly flexible workplace.
Hays | Mid-level GPU Cloud Support Engineer employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hays | Mid-level GPU Cloud Support Engineer
✨Tip Number 1
Familiarize yourself with the specific GPU cloud platforms mentioned in the job description, such as Vast and Weka. Understanding their functionalities and common issues can give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Linux system administration skills, especially command line operations. Being able to demonstrate your proficiency in managing Linux systems will be crucial for this role.
✨Tip Number 3
Showcase your scripting abilities, particularly in Bash and Python. Prepare examples of how you've used these languages to automate tasks or solve problems in previous roles.
✨Tip Number 4
Highlight any experience you have with ITSM tools like ServiceNow or Jira Service Management. Being familiar with these platforms will help you integrate smoothly into our support processes.
We think you need these skills to ace Hays | Mid-level GPU Cloud Support Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Mid-level GPU Cloud Support Engineer position. Highlight key responsibilities and required skills, such as incident management and GPU cloud support, to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 2+ years of experience in IT support roles, particularly in GPU cloud environments. Mention specific tools and technologies you have worked with, like Linux system administration and scripting languages.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your ability to triage complex issues and provide timely resolutions. Use metrics or outcomes to illustrate your success in previous roles, especially related to incident management.
Express Enthusiasm for Remote Work: Since this role is fully remote, convey your excitement about working in a flexible environment. Discuss how you manage your time effectively and collaborate with teams across different time zones.
How to prepare for a job interview at Hays
✨Show Your Technical Skills
Be prepared to discuss your experience with GPU cloud environments and Linux system administration. Highlight specific projects or challenges you've faced, and how you resolved them using your technical skills.
✨Demonstrate Problem-Solving Abilities
Expect to be asked about complex issues you've encountered in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking and troubleshooting skills.
✨Familiarize Yourself with Their Tools
Research the ITSM tools and monitoring solutions mentioned in the job description, such as ServiceNow and Jira Service Management. Being able to discuss your familiarity with these tools will show your readiness to hit the ground running.
✨Emphasize Collaboration Skills
Since the role involves working closely with cross-functional teams and external partners, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and ability to work in a team-oriented environment.
