At a Glance
- Tasks: Build and deploy scalable cloud services for AI compute with cutting-edge technology.
- Company: Join Graphcore, a leader in AI hardware and software innovation.
- Benefits: Enjoy flexible working, generous leave, and a vibrant office with free food.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Shape the future of AI by developing impactful cloud solutions.
- Qualifications: Relevant degree or experience in cloud environments and strong Linux skills.
The predicted salary is between 51750 - 63250 £ per year.
Описание: Graphcore develops hardware, software and systems infrastructure for AI compute, enabling scalable AI solutions and supporting the adoption of AI across industries.
- Задачи
- Build the cloud platform that turns Graphcore AI systems into usable, scalable services
- Develop and deploy private and public cloud services for AI compute
- Operate and extend Open Stack-based services
- Automate deployment with infrastructure-as-code
- Improve observability across the fleet
- Benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage
- Keep critical infrastructure available
- Help pre-release hardware and software become reliable cloud services
- Shape how internal users and customers access large-scale AI systems
- Work with Software Platform, Datacentre Operations, Product Development, Engineering and QA
- Take responsibility for unclear problems and make progress without waiting for perfect inputs
- Use metrics, benchmarks, user impact and system behaviour to support decisions
- Surface risks early and own corrective actions when systems need attention
- Требования
- Relevant degree or equivalent practical experience
- Proven ability to scope and deliver technical infrastructure work
- Experience operating on-premises or private-cloud environments
- Strong ownership of end-user availability
- Strong Linux system administration and scripting skills
- Experience with Bash and Python
- Hands-on experience deploying services with Infrastructure-as-Code
- Practical understanding of cloud foundations, including virtualisation, virtual networks, block storage, monitoring and observability
- Experience using Git, CI or testing pipelines and container tools
- Clear communication when supporting users
- Legal right to work in the UK
- Условия
- Flexible working
- Generous leave
- Up to 5% matched pension
- Phantom equity
- Office spaces with free food and an on-site barista
- Income protection and life assurance
- Optional private medical insurance and dental cover
- Additional benefits include a health cash plan, cycle to work scheme and give as you earn
- Visa sponsorship and support for visa applications are not provided
- #J-18808-Ljbffr
cloud engineer for AI compute 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 cloud engineer for AI compute
✨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 cloud engineer for AI compute
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.
