Senior Software Engineer - Data Platform

Multiverse
LondonPosted 26 March 2026

Job Description

Senior Software Engineer - Data Platform 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: HELP US BUILD THE FUTURE OF DATA We believe that when data is accessible, everyone wins. We’re looking for a versatile Senior Software Engineer to join our Foundations Team. You’ll be the bridge between complex infrastructure and the people who need it. This isn't just about moving data from point A to point B; it’s about building the technical "nervous system" of our company—creating the APIs, tools, and security protocols that allow our entire team to innovate without friction. As a member of the Foundations team, you will work closely with Infrastructure, DevEx, and Security engineers. Your goal is to ensure the data platform integrates seamlessly with our other internal tools and becomes a core pillar of our Internal Developer Platform (IDP). WHO YOU'LL EMPOWER Our Tech Teams: You'll build the secure APIs and Model Context Protocols (MCPs) that help them stay productive. Data & AI Pioneers: You’ll create the stable environments they need to deploy the next generation of AI models. Business Leaders: You’ll provide the high-quality dashboards that turn raw numbers into clear strategy. WHAT YOU’LL DO Architect for Growth: Define and refactor data models to ensure they stay fast and clear as we scale. Create a Universal Data Layer: Build GraphQL APIs and connectors so anyone can access data safely, even without deep infra knowledge. Enable GenAI: Get hands-on with the latest tech, building infrastructure for Vector Databases and AI-driven automation. Automate Safety: Implement "Privacy by Design" by automating security checks, so our speed never comes at the cost of safety. ABOUT YOU We care more about your talent and trajectory than a perfect checklist. If you're a curious engineer who loves building reliable, user-friendly systems, we want to hear from you! Engineering Excellence: You have significant experience in commercial software (we use Python, TypeScript, and Go) and a passion for modular, readable code. Systems Thinker: You understand how to treat "data as software" and are comfortable with cloud-native tools (AWS/Azure, Kubernetes). The "Human" Element: You can explain a complex architectural choice to a product manager just as easily as you can to a fellow engineer. Bonus Points: If you’ve dabbled in GenAI, event-driven architectures, or platform engineering, tell us about it! 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 ... (truncated, view full listing at source)
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