Research Platforms Engineer in Sheffield

Research Platforms Engineer in Sheffield

Sheffield Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
The University of Sheffield

At a Glance

  • Tasks: Support and enhance high-performance computing platforms for groundbreaking research.
  • Company: Join a leading university with a commitment to innovation and research excellence.
  • Benefits: Enjoy flexible working, generous leave, and a supportive environment for personal growth.
  • Other info: Be part of a dynamic team with opportunities for professional development.
  • Why this job: Make a real difference in research by optimising cutting-edge computing technologies.
  • Qualifications: Experience with HPC, cloud platforms, and strong communication skills are essential.

The predicted salary is between 60000 - 80000 £ per year.

This role is part of the Research Platforms team in IT Services, supporting the University’s research computing infrastructure including high-performance compute clusters, scalable storage, and cloud-based platforms. The role involves ensuring the reliability, availability and configuration of these platforms to meet the diverse needs of researchers.

Main Duties and Responsibilities

  • Deliver, run and support HPC compute platforms that meet the spectrum of research applications.
  • Manage high-performance, scalable storage systems for I/O intensive compute tasks.
  • Develop platforms that provide secure environments for storing and processing sensitive research data.
  • Support the use of cloud-based platforms and technologies by researchers.
  • Manage and configure scheduling software and implement policies to allocate resources, including allowing research groups to purchase dedicated access.
  • Carry out routine maintenance tasks and identify opportunities to improve and automate them across on-premises and cloud platforms.
  • Monitor performance, availability and security of the research platforms, providing regular reports.
  • Collaborate with other ITS team members to provide technical guidance and ensure appropriate platform delivery to meet researcher requirements.
  • Assist research groups in migrating activities from legacy clusters to appropriate solutions.
  • Develop innovative solutions that simplify access to the platform, lowering the barrier for users with limited HPC experience.
  • Work with vendors and service providers to procure and maintain infrastructure and services that meet the University’s research computing requirements.
  • Perform other duties as required at this grade.

Essential Criteria

  • Understanding and experience of HPC and cloud-based research computing platforms, including job schedulers (e.g., Slurm), virtualisation (e.g., VMWare, AWS EC2) and containerisation (e.g., Kubernetes, Docker Swarm, Podman).
  • Knowledge of multi-user systems, user account management, authentication and permissions.
  • Ability to work within existing admin processes and develop robust automations with future resilience, replicability and management in mind.
  • Knowledge of infrastructure-as-code technologies such as Puppet and CloudFormation is a distinct advantage.
  • Effective communication skills, both written and verbal, including report writing and technical documentation.
  • Understanding of monitoring and managing physical and virtual computing platforms and infrastructure.
  • Understanding of how to use cloud infrastructure and networking to ensure system and data security.
  • Ability to assess and organise resources, plan and progress work activities.
  • Inquisitive mind and a desire to explore new technologies and engage with other research computing professionals.

Desirable Criteria

  • Experience with high-performance storage systems and scalable I/O solutions.
  • Experience with procurement and vendor management in a research computing environment.

Additional Information

  • Grade: G7
  • Line Manager: Research Platforms Engineering Lead
  • Direct reports: None

Employment Conditions

A basic DBS check will be required for this role. We are a Disability Confident Employer.

Benefits

The University offers a competitive annual leave entitlement (including the ability to purchase additional days), a generous pension scheme, flexible working opportunities, commitment to professional development and wellbeing, retail discounts and family-friendly policies including paid time off for parenting and caring emergencies, support for menopause, fertility treatment and more. Full benefit details are available at https://www.sheffield.ac.uk/jobs/benefits.

Research Platforms Engineer in Sheffield employer: The University of Sheffield

The University of Sheffield is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Research Platforms team. With a strong commitment to employee development, flexible working arrangements, and a comprehensive benefits package, including generous annual leave and support for personal wellbeing, the University provides a rewarding atmosphere for those passionate about advancing research computing. Located in a vibrant city, employees enjoy access to a rich cultural scene and a supportive community, making it an ideal place for meaningful and impactful work.

The University of Sheffield

Contact Details:

The University of Sheffield Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Platforms Engineer in Sheffield

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The University of Sheffield!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Platforms Engineer at The University of Sheffield.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The University of Sheffield.

Apply Directly through Our Website

When you find a suitable opening like Research Platforms Engineer at The University of Sheffield, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Research Platforms Engineer in Sheffield

High-Performance Computing (HPC)
Cloud-Based Platforms
Job Schedulers (e.g., Slurm)
Virtualisation (e.g., VMWare, AWS EC2)
Containerisation (e.g., Kubernetes, Docker Swarm, Podman)
User Account Management
Authentication and Permissions

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at The University of Sheffield, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The University of Sheffield. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at The University of Sheffield

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The University of Sheffield!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.