Senior Software Engineer (Atlas) at Multiverse

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 OPPORTUNITY It’s an incredible time to join the Engineering team at Multiverse, the UK’s first edtech unicorn, as we equip the workforce to win in an AI era. You have a real opportunity to impact the lives of 1,000s of people. The Mission: Multiverse is reshaping the future of workforce development. You will join a domain team to gain deep knowledge of our products and play a key role in delivering scalable, user-focused solutions across the platform. The Environment: This is a high-trust, hands-on building environment. You won't just pick up tickets; you'll build production systems alongside experts, supported by "10% time" for experimentation and weekly knowledge-sharing THE PRODUCT: Atlas is Multiverse’s flagship AI product and a central pillar of our mission to equip the workforce for the AI era. Built directly into our learning platform and used by 1000s of users daily, Atlas serves as an AI guide available to apprentices 24/7, providing personalised, context-aware support exactly when they need it. THE ATLAS TEAM You will be joining a high-growth, high-impact squad that functions with the agility of a startup within Multiverse. Our team is relatively new, which means you’ll have a significant voice in shaping our technical direction, architecture, and "ways of working." We foster a culture of engineering craft and rapid innovation. We are focused on building sustainable, enterprise-grade architecture for the future of AI-led education. We value engineers who are comfortable "swimming in the deep end," who care deeply about the intersection of AI and user experience, and who are excited to solve the unique challenges of agentic orchestration at scale. WHAT YOU WILL DO - Build Production Systems: Write clean, extensible code for real users, ensuring systems are well-documented and tested. - Full-Stack Shipping: Work across our stack (Python, TypeScript, React, Elixir, AWS) to deliver features that improve education quality and scale our impact. - Master AI Engineering: Proactively explore the potential of AI-assisted development (e.g., Cursor, Gemini, or Claude Code) to enhance quality and velocity. - Technical Leadership: Act as a team multiplier by feature leading, supporting other engineers, and providing technical direction for your squad. - Operational Excellence: Define squad-level technical metrics to guarantee system health and ensure proactive monitoring is in place. WHAT WE ARE LOOKING FOR TECHNICAL FOUNDATION - Mastery of Craft: You possess excellent technical skills and have a strong understanding of non-functional requirements like security, performance, and scalability. - Clean Code: You write tested, scalable code and understand how to make tests an asset rather than a cost. - Systems Thinking: You can design and architect solutions to solve complex business problems and understand the trade-offs of different technical paths. AI CURIOSITY & EXPERIENCE - AI as an Engine: You treat AI as a core tool to improve efficiency and results, not just an optional experiment. PRODUCT & COMMUNICATION - Ownership: You possess a strong sense of prioritisation, understanding when an issue needs to be fixed immediately and when it can wait. - Clarity: You can explain complex technical concepts clearly to both technical and non-technical audiences, inspiring confidence in stakeholders. OPERATING PRINCIPLES IN ACTION - Solve for Customer Value: You connect your work directly to business outcomes, ensuring every decision creates value for our apprentices and paying customers. - Drivers, Not Passengers: You don’t wait for permission to fix a problem; you proactively unblock yourself and your peers while taking responsibility for your decisions and mistakes. - Be Decisive, Even in Ambiguity: You act with speed, launching "imperfect" solutions to test and learn quickly without shifting blame. - AI to Deliver Outcomes: You are excited about using AI to accelerate development while maintaining high standards for code quality. WHAT WOULD SET YOU APART - Event-Driven Expertise: Experience with event-driven architecture to help us build even more robust systems. - Mentorship: A track record of actively upskilling others through mentoring, pairing, and impactful code reviews. - Open Source: Contributions to the wider engineering community or a passion for exploring emerging industry trends WHAT WE ARE NOT LOOKING FOR - Passive Workers: We don't provide rigid sprint plans; we need autonomous problem-solvers who drive outcomes. - Narrow Specialists: This is a full-stack environment where flexibility across the lifecycle—from requirements to deployment—is key. - Perfectionists over Progress: We value "speed as a strategy" and the ability to course-correct quickly over prolonged analysis. INTERVIEW PROCESS 1. Initial Screen: A brief chat about your background, achievements, and impact. 2. AI-Assisted Technical: A coding/system design exercise where you use AI tools to build a system. We will then deep dive into your technical mastery. We evaluate your ability to review AI output critically and handle iterative requirements. 3. Architectural & Behaviours: How you live our Operating Principles. 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. Read our Equality, Diversity & Inclusion policy here [Upgrade to PRO to see link] 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 [Upgrade to PRO to see link] our Prevent Policy [Upgrade to PRO to see link] 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.