At a Glance
- Tasks: Build and scale AI infrastructure, debug Kubernetes, and manage cloud systems.
- Company: Helical Ai, a pioneering company in drug discovery technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Hands-on role with high ownership and transformative projects.
- Why this job: Join a small team and make a real impact on the future of medicine.
- Qualifications: 4+ years in platform engineering with expertise in Kubernetes and cloud tech.
The predicted salary is between 60000 - 80000 £ per year.
Helical Ai in Greater London is hiring a Platform Engineer responsible for building and scaling the infrastructure for our AI-native lab. You'll engage in debugging Kubernetes, managing cloud infrastructure, and supporting machine learning pipelines. This role is hands-on and critical for making drug discovery scalable.
Ideal candidates should have 4+ years of experience in platform engineering, with strong skills in Kubernetes, Docker, and cloud technologies. Join a small team with high ownership and contribute to transforming the future of medicine.
Platform Engineer: Scale Kubernetes & ML Infra in London employer: Helical Ai
Helical Ai is an exceptional employer located in Greater London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a hands-on approach to their roles, with ample opportunities for professional growth and development in the rapidly evolving field of AI and drug discovery. Join our small, dedicated team where your contributions will directly impact the future of medicine, all while enjoying a supportive environment that values ownership and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer: Scale Kubernetes & ML Infra 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 Helical 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 Helical 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 Helical 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 Helical 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 Platform Engineer: Scale Kubernetes & ML Infra 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 Helical 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 Helical 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 Helical 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 Helical 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.
