At a Glance
- Tasks: Build and scale innovative AI infrastructure in a fast-paced, startup-like environment.
- Company: Join Multiverse, the UK's first EdTech unicorn transforming workforce skills.
- Benefits: Enjoy 27 days holiday, health perks, hybrid work, and a vibrant office culture.
- Other info: Be part of a diverse team committed to learning and growth.
- Why this job: Make a real impact by shaping the future of AI adoption in tech.
- Qualifications: 5+ years in building production systems, AWS expertise, and full-stack flexibility.
The predicted salary is between 60000 - 80000 € per year.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance.
In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.
The Mission & The Squad
Having built a thriving apprenticeship business, we are now doubling down on our AI strategy with the launch of a groundbreaking AI Adoption Platform. You will join the Adoption AI Team, a small foundational squad operating as a "startup" within Multiverse. We are building a category-defining product from scratch, leveraging our massive existing customer base and IP to deliver personalized, role-specific AI use cases. Our MVP already showed 10x adoption results in initial pilots, now we’re building the engine to scale it to the world.
The Challenge
This is a high-speed, greenfield environment. In your first 6 months, you will:
- Architect for Scale: Transition our MVP into a robust, scalable production system. You’ll design and operate AWS workloads where "good enough" isn't an option.
- Infrastructure as an Accelerator: Build and maintain the Terraform modules and CI/CD pipelines that allow the squad to ship daily without friction.
- Ship End-to-End: Move seamlessly between tweaking AWS IAM policies, optimizing the backend, and refining a React component. You aren't just building a feature; you’re building a venture.
Your Impact
- Product Partner: You influence product decisions by determining the right technical trade-offs to deliver customer value quickly without sacrificing long-term quality.
- Technical Excellence: You possess excellent technical skills and the ability to uplift other engineers, making a significant impact in your squad and beyond.
- Infrastructure Ownership: You will provide reliable estimates for complex infra tasks, proactively monitor system performance, and use operational data to improve stability.
- Delivery Leadership: You advocate for incremental delivery of value and act as a team multiplier, managing your time to drive the most business impact.
- Mentorship: You help less experienced squadmates become better engineers through mentoring, pairing, and high-quality code reviews.
Operating Principles in Action
- Solve for Customer Value: You don't build infra for infra's sake. Every code change is designed to ensure our users have a seamless, secure, and high-value experience.
- Drivers, Not Passengers: You are an owner. You don't wait for a detailed spec or permissions to fix an infrastructure bottleneck; you lead the solution and bring the squad with you.
- Be Decisive, Even in Ambiguity: In a greenfield environment, you are comfortable launching "imperfect" solutions to test and learn, course-correcting quickly without blame.
- AI to Deliver Outcomes: You treat AI as our engine. You are excited about using tools like Cursor or Claude to accelerate your own development and enhance the platform’s capabilities.
What We Are Looking For
- The Builder Mindset: You have a track record of building production systems from scratch (typically 5+ years, but we welcome strong candidates with equivalent experience).
- Excited about working on greenfield projects: You have designed and operated AWS workloads and maintained Terraform modules.
- AWS & IAC Mastery: Deep experience with AWS (IAM, VPC, EC2/Lambda) and Terraform. You understand how to make infrastructure an asset, not a blocker.
- Full-Stack Flexibility: You are a generalist at heart. You’re happy writing TypeScript/React one hour and debugging an AWS deployment the next.
- Strategic Communication: You can explain complex architectural trade-offs to both technical and non-technical stakeholders.
What We Are Not Looking For
- Pure Specialists: If you only want to work on "the backend" or "the infra," you’ll be frustrated here. We ship as a unit.
- Corporate Speed: We operate like a startup. If you prefer long planning cycles and rigid specs over rapid iteration, this isn't the role for you.
- Passive Collaborators: We don't have a "throw it over the wall" culture. If you see a problem, you own the fix.
Note: You don't need to check every single box to apply. If you're a strong Full Stack engineer who is excited about AWS but still mastering Terraform, we’d still love to hear from you. We value the 'Driver' mindset and a willingness to learn above a perfect checklist.
Benefits
- Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year.
- Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support.
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month.
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year.
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Senior Engineer (Infra) - AI Adoption Product in London employer: Multiverse
Multiverse is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to make impactful contributions. With a strong commitment to employee growth through mentorship and diverse learning opportunities, coupled with generous benefits like 27 days of holiday and a hybrid work model, Multiverse fosters a culture of collaboration and inclusivity that makes it an attractive place for those looking to excel in the AI and tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer (Infra) - AI Adoption Product in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Senior Engineer (Infra) - AI Adoption Product in London
Some tips for your application 🫡
Show Your Passion for AI and Tech:When you're writing your application, let your enthusiasm for AI and tech shine through! We want to see how excited you are about the role and how you can contribute to our mission of upskilling the workforce.
Tailor Your Experience:Make sure to highlight your relevant experience in building production systems and working with AWS and Terraform. We love seeing how your background aligns with our needs, so don’t hold back on those details!
Be Yourself:We’re looking for genuine individuals who can bring their unique perspectives to the team. Don’t be afraid to let your personality come through in your writing – we value authenticity!
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Multiverse
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, Terraform, and full-stack development. Brush up on your knowledge of IAM, VPC, EC2, and Lambda. Be ready to discuss how you've built production systems from scratch and how you can leverage these skills to contribute to the AI Adoption Platform.
✨Show Off Your Builder Mindset
Demonstrate your passion for greenfield projects and your ability to take ownership. Share examples of how you've tackled infrastructure challenges and led solutions without waiting for detailed specs. This role is all about being proactive, so let your enthusiasm shine through!
✨Communicate Like a Pro
You’ll need to explain complex technical concepts to both techies and non-techies. Practice articulating your thought process around architectural trade-offs and how they impact customer value. Clear communication is key, especially in a fast-paced environment like this one.
✨Embrace the Startup Vibe
Get ready for a dynamic, startup-like atmosphere. Be prepared to adapt quickly and launch 'imperfect' solutions to test and learn. Show that you thrive in ambiguity and are excited about iterating on your work to drive real outcomes for users.