At a Glance
- Tasks: Keep our cloud imaging platform running smoothly using Kubernetes and GitOps.
- Company: Join Qureight, a leader in AI-powered imaging for clinical trials.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Gain hands-on experience in a dynamic environment focused on innovation.
- Why this job: Dive into the AI era while enhancing your skills in machine learning infrastructure.
- Qualifications: Experience with Linux, AWS, and strong documentation skills are essential.
The predicted salary is between 63000 - 77000 £ per year.
The role keeps a cloud imaging platform running across several environments, with Kubernetes, infrastructure as code and Git Ops as the daily tools.
A strong candidate has a few years of hands on platform or reliability work, is comfortable on Linux and AWS, and can write clear documentation and change records.
Care with security, patching and cost control matters as much as speed of delivery.
How it fits the AI era
AI work here means supporting the science team's training and model deployment environments alongside the production product, so the platform has to serve both.
Much of the routine build, deploy and monitoring work can be automated, which frees time for judgement on reliability, security and regulated change control.
The human part is owning decisions, incident response and keeping systems auditable.
How it builds AI experience
There is a chance to learn machine learning infrastructure first hand, including experiment tracking and model packaging, in a company whose product is AI driven imaging analysis.
Building familiarity with MLflow style tooling, model registries and secure model deployment would strengthen a case for this role.
Experience with regulated release cycles or medical imaging data would add further weight.
- Worth showing
- Terraform or Open Tofu
- Git Lab CI/CD pipelines
- AWS cost management
- Clear technical documentation
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Qureight
Qureight provides AI-powered imaging and precision endpoints for lung and heart clinical trials, per the company.
#J-18808-Ljbffr
DevOps Engineer in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps Engineer 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 present of AI 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 present of AI.
✨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 present of AI.
✨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 present of AI 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 DevOps Engineer 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 present of AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at present of AI 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 present of AI
✨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 present of AI 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.
