At a Glance
- Tasks: Design and build tools for high-performance computing to solve real-world problems.
- Company: Join GSK, a global leader in biopharma focused on innovative medicines.
- Benefits: Enjoy flexible working culture, competitive salary, and opportunities for growth.
- Other info: Collaborative environment with a focus on agile methodologies and continuous improvement.
- Why this job: Make a difference in healthcare by accelerating drug discovery with cutting-edge technology.
- Qualifications: Bachelor's degree in relevant field and experience with Python and cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
Описание
GSK is a global biopharma company focused on preventing and treating disease through specialty medicines and vaccines.
Its Onyx Research Data Platform organization develops data, AI/ML, and computational capabilities to accelerate the discovery of new medicines and improve productivity for scientists, engineers, and decision-makers.
- Задачи
- Design, build, and operate tools, services, and workflows that solve key business problems
- Develop key components of a hybrid on-prem/cloud compute platform for interactive and scalable batch computing
- Establish processes and workflows to transition existing HPC users and teams to the platform
- Build code-driven environments, applications, and containers/images
- Deploy applications through CI/CD
- Consult science users on application scalability to PBs of data
- Optimize the design and execution of complex solutions in large-scale distributed computing environments
- Produce well-engineered software with automated test suites, technical documentation, and operational strategies
- Ensure consistent use of platform abstractions for logging and lineage quality
- Participate in code reviews and partner to improve team standards
- Follow the QMS framework and CI/CD best practices and guide improvements to ways of working
- Provide leadership to team members and help them complete work correctly.
- Требования
- Bachelor's degree in data engineering, Computer Science, Software Engineering, or a related discipline
- Experience with Python
- Experience with Cloud
- Experience with High Performance Compute (HPC)
- Deep knowledge of at least one common programming language, including toolchains for documentation, testing, and operations/observability
- Deep expertise in modern software development tools and ways of working
- Deep cloud expertise, including infrastructure-as-code tools and scalable compute technologies
- Experience with CI/CD implementations using git and a common CI/CD stack
- Deep expertise with Docker, Kubernetes, and the broader CNCF ecosystem, including Helm
- Experience with low-level application build tools such as make and CMake, and automated build systems such as spack or easybuild
- Experience with workflow orchestration tools such as Argo Workflow, Airflow, Nextflow, Snakemake, Vis Trails, or Cromwell
- Experience with application performance tuning and optimization in parallel and distributed computing, including MPI, Open MP, or Gloo
- Deep understanding of hardware, networks, storage, and their impact on application performance
- Demonstrated excellence in agile software development environments using tools such as Jira and Confluence
- Deep familiarity with high-performance application tools, techniques, and optimizations, including engagement with the open-source community
- Nice to have: Contributions to open-source tools.
- Условия
- Agile working culture with flexibility opportunities.
- #J-18808-Ljbffr
platform engineer for high-performance computing in London employer: Enfint
AJ Bell is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to mentor junior designers while working on impactful design systems that prioritise accessibility and usability. Enjoy a supportive environment that values proactive communication and offers unique benefits tailored to enhance your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land platform engineer for high-performance computing in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Enfint or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Enfint.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Enfint.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Enfint that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace platform engineer for high-performance computing in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Enfint.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Enfint and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Enfint
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Enfint uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
