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 Role

Multiverse is the UK's largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development. Multiverse is in a uniquely strong position to do that, and getting it right has implications beyond the company: for the UK tech sector and the broader economy.

The Foundations team is the backbone of this mission. We own the core infrastructure, tooling, and developer experience that underpins everything Multiverse builds. This is not a "support" function; it is a high-leverage engineering team with the mandate to build the infrastructure that makes our product squads faster, safer, and more innovative.

We are looking for a Senior Software Engineer who started their career writing software and moved into infrastructure to solve harder, more foundational problems. You will design the systems, write the Terraform, and harden the pipelines that empower every other team to ship at high velocity.

What You Will Do

Treat Platform as a Product. Move beyond "managing servers" to evolve our Internal Developer Platform alongside Infrastructure, DevEx, and Security teams.

• Customer Obsession: Treat internal engineers as your customers, identifying pain points, building self-service capabilities, and measuring adoption to solve for true customer value.

• Abstract Complexity: Develop platform APIs and connectors that handle the heavy lifting, enabling engineers to focus entirely on product delivery.

Architect a future-proof Cloud Estate. You will own and evolve our production AWS infrastructure using Terraform. We treat infrastructure as software, with version control, code review, and automated testing. You will lead the way in provisioning the specialised infrastructure required for GenAI workloads, such as vector databases and Model Context Protocols (MCPs).

How We Work With AI

At Multiverse, AI is our engine, not an add-on. We want every engineer to use AI tooling as a core part of how they work, not as an experiment or a side interest. That means using AI-assisted development tools (Claude, Cursor, Gemini, etc.) daily to write, review, and debug code faster. It means reaching for an LLM before reaching for Stack Overflow. It means being willing to prototype internal automations that save the team hours, not just yourself.

You should be genuinely curious about how AI is reshaping software development, comfortable adopting new tools as they emerge, and excited about the idea that infrastructure and platform work will look meaningfully different in two years than it does today.

Drive Operational Intelligence. You will move beyond noisy alerts to build meaningful observability. You will empower squads to use operational data to improve stability and performance, fostering a culture of "observability as a first-class concern" across your sphere of influence.

Be a Multiplier. As a Senior SWE, you are a mentor and coach to others, identifying opportunities that elevate learning and impact not just as an individual but that raise productivity and impact for everyone.

What We Are Looking For

Technical Mastery

• Software Fundamentals: You have 5+ years of professional experience, primarily as a software engineer, before gravitating to infrastructure. You write clean, tested, modular code in Python, TypeScript, or Go.

• Deep AWS & Terraform Expertise: You have designed and operated production workloads on AWS (ECS, Lambda, VPC, IAM) and maintain Terraform modules as a core part of your workflow.

• CI/CD Fluency: You have hands-on experience building deployment pipelines and understand the principles of reliable, repeatable delivery.

AI Fluency & Curiosity

• You are excited about the potential of AI-assisted development to enhance velocity.

• You have a genuine interest in the engineering challenges of AI systems: context management, tool use, and making AI integrations reliable.

Operating Behaviours

• Drivers, Not Passengers: You take extreme ownership of your work, driving outcomes end-to-end while bringing others along on the journey.

• Be Decisive, Even in Ambiguity: You act with speed and treat ambiguity as an opportunity to shape outcomes. You can explain complex infrastructure trade-offs to any audience.

Strong Signals

We don't expect you to have all of these, but we are particularly interested in candidates who can demonstrate:

• Platform Maturity: You have a track record of building internal developer platforms (e.g. Backstage) or self-service tooling that transformed how product teams interact with infrastructure.

• Architectural Evolution: You have successfully led the migration or refactoring of monolithic systems into modular, well-bounded services.

• Modern Observability: You have deep experience with platforms such as Datadog, Grafana, Mimir, New Relic, or OpenTelemetry, and you know how to move beyond basic metrics to actionable operational intelligence.

• Infrastructure for GenAI: You have a documented interest in the infrastructure requirements of LLM-powered applications, for example, around vector databases, GPU orchestration, or Model Context Protocols (MCPs).

• Distributed Systems: You are comfortable with containerisation (Kubernetes, Docker, ECS), serverless patterns, and event-driven architectures or data infrastructure patterns.

What Your First 6 Months Look Like

• Months 1-2: Get to know the team and infrastructure landscape. Ship your first Terraform module and contribute to our observability instrumentation.

• Months 3-4: Own the observability standardisation effort. Improve deployment pipelines and begin implementing AI-augmented security and developer tools.

• Months 5-6: Drive "Cloud Excellence" initiatives, optimizing for stability and cost. You are a trusted voice in architectural discussions and a go-to partner for product teams.

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.

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.