At a Glance
- Tasks: Join us to shape the future of AI by managing cutting-edge infrastructure and tools.
- Company: Innovative AI company on a mission to redefine intelligence.
- Benefits: Competitive salary, flexible work environment, and opportunities for personal growth.
- Other info: Fast-paced team culture that values ownership and innovation.
- Why this job: Be a key player in groundbreaking AI research and development.
- Qualifications: Experience with Kubernetes, cloud infrastructure, and coding in Python or Rust.
The predicted salary is between 60000 - 80000 £ per year.
We are recruiting a DevOps / Platform Engineer to join us in our London office. Our mission is to make first contact with superintelligence. We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs. This superlearning capability - the ability to endlessly discover knowledge and skills, without relying on human data - will be driven by the world’s most powerful reinforcement learning algorithms.
The superlearner is expected to rediscover and then transcend the greatest inventions in human history, such as language, science, mathematics and technology. If successful, this will represent a scientific breakthrough of comparable magnitude to Darwin: where his law explained all life, our law will explain and build all intelligence.
As a foundational hire on the platform team, you'll be joining at a point where individual decisions shape how the platform is designed, not just maintained. This isn't a role where you inherit someone else's architecture; you'll be one of the people defining it. We're pushing these learning methods to a scale that hasn’t been tried before and we care deeply about the infrastructure that gets us there.
You'll own the infrastructure that the mission depends on; keeping large-scale GPU compute reliable, developer environments fast and the whole platform humming. This is an opportunity for someone who wants to be a part of defining a new paradigm in AI and wants their work to directly speed up the experimentation and progress of our ambitious research.
This is a broad role, and the list below is non-exhaustive. You’ll be empowered to shape the role how you’d like in order to best enable our mission:
- Kubernetes and containers: manage clusters and deploy internal tools
- GPU scheduling at scale: hands-on with tools like KAI scheduler and Kueue to keep thousands of GPUs busy and productive
- Making large-scale infrastructure resilient: get to the root of hardware failures and cluster-scale chaos, building the systems that prevent them from recurring
- Cloud infrastructure: experience on Google Cloud and other major providers
- Observability that actually helps: log management and monitoring with tools like QuickWit, Grafana or Datadog
- Developer environments people love: tooling like Tailscale, Workbrew and dev containers that make everyone's day-to-day faster
- Clean, well-crafted code: e.g. Python and Rust for tools and infrastructure that are a joy to build on
We move fast, give people real ownership and trust engineers to make good judgment calls. We are a team that cares as much about doing this well as doing it fast.
If you're interested in joining Ineffable and think your skills would be better suited to a different position please express your interest to the Member of Technical Staff position.
DevOps / Platform Engineer in London employer: Ineffable Intelligence
As a Member of Technical Staff at our London office, you will be part of a pioneering team dedicated to advancing the frontiers of artificial intelligence. We foster a collaborative and innovative work culture that encourages continuous learning and professional growth, offering unique opportunities to contribute to groundbreaking projects that could redefine intelligence itself. Join us in an environment where your ideas are valued, and your contributions can lead to monumental scientific breakthroughs.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps / Platform 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 Ineffable Intelligence 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 Ineffable Intelligence.
✨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 Ineffable Intelligence.
✨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 Ineffable Intelligence 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 / Platform 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 Ineffable Intelligence.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ineffable Intelligence 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 Ineffable Intelligence
✨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 Ineffable Intelligence 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.
