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- Tasks: Work on cutting-edge AI and HPC projects while maintaining software-defined infrastructure.
- Company: Join a leading academic institution known for its innovative research and collaborative environment.
- Benefits: Enjoy flexible working hours and the option to work remotely, with family-friendly policies.
- Why this job: Collaborate with top researchers and make a real impact in the tech and research community.
- Qualifications: Bachelor's degree in computer science or equivalent; experience with Git, Terraform, and Linux required.
- Other info: Candidates may work outside Cambridge but must be willing to travel when needed.
The predicted salary is between 36000 - 60000 £ per year.
You’ll be working on a diverse range of AI and HPC platforms and infrastructure projects. You will be responsible for integrating and maintaining software defined infrastructure as well as novel user and software environment interfaces. You will be operating large scale, highly available supercomputing services. You will be collaborating with world leading academic research teams, and researchers in the public and the commercial sector to deliver on their project goals., Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.
We support flexible and family-friendly working and are open to non-standard working patterns. We are open to applicants who live outside Cambridge but are willing to travel to Cambridge when required.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
All queries should be directed to recruitment@uis.cam.ac.uk in the first instance.
Practical experience in tools such as Git, Terraform, Ansible and Kubernetes.
-Proficiency in Linux System Administration.
-Practical experience with programming and scripting languages such as Bash and Python.
-Experience with one or more areas from SysOps, DevOps, GitOps, OpenStack, HPC and Software Engineering.
-Excellent communication skills and the ability to collaborate with experienced as well as novice clients and stakeholders.
-Strong problem-solving and analytical skills.
-Ability to work independently and manage multiple projects simultaneously.
-Bachelor’s or higher degree in computer science, computer engineering or equivalent experience.
Research Computing Specialist employer: University of Cambridge
Contact Detail:
University of Cambridge Recruiting Team
recruitment@uis.cam.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Research Computing Specialist
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Git, Terraform, Ansible, and Kubernetes. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness for the role.
✨Tip Number 2
Highlight any collaborative projects you've worked on, especially those involving academic or research teams. This will show that you can effectively communicate and work with diverse stakeholders, which is crucial for this position.
✨Tip Number 3
Prepare to discuss your problem-solving approach during the interview. Be ready to share specific examples of challenges you've faced in previous roles and how you overcame them, particularly in high-pressure environments.
✨Tip Number 4
Since the role involves working with large-scale supercomputing services, consider brushing up on your knowledge of HPC systems. Understanding the fundamentals of high-performance computing will give you an edge in discussions with the hiring team.
We think you need these skills to ace Research Computing Specialist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Research Computing Specialist position. Understand the key responsibilities and required skills, such as experience with AI, HPC platforms, and tools like Git and Terraform.
Tailor Your CV: Customize your CV to highlight relevant experience in Linux System Administration, programming languages like Bash and Python, and any practical experience with DevOps or SysOps. Use specific examples that demonstrate your problem-solving and analytical skills.
Craft a Strong Cover Letter: Write a cover letter that showcases your communication skills and ability to collaborate with diverse teams. Mention your enthusiasm for working on large-scale supercomputing services and how your background aligns with the company's goals.
Follow Application Instructions: Click the 'Apply' button on the job listing to register an account with the recruitment system. Ensure all required documents are uploaded and double-check for accuracy before submitting your application.
How to prepare for a job interview at University of Cambridge
✨Showcase Your Technical Skills
Be prepared to discuss your practical experience with tools like Git, Terraform, Ansible, and Kubernetes. Highlight specific projects where you utilized these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and problem-solving approach. Prepare examples of challenges you've faced in previous roles and how you resolved them, especially in high-pressure environments.
✨Emphasize Collaboration Experience
Since the role involves working with diverse teams, share experiences where you successfully collaborated with both technical and non-technical stakeholders. This will showcase your communication skills and ability to work in a team.
✨Prepare for Scenario-Based Questions
Anticipate scenario-based questions related to system administration and software integration. Practice articulating your thought process and decision-making steps when faced with hypothetical situations relevant to the job.