Senior Software Engineer, Multiverse

About the Role

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 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.

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

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

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

Desirable Skills

• 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 the job involves

• You will design the systems, write the Terraform, and harden the pipelines that empower every other team to ship at high velocity
• 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)
• At [Employer hidden], 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
• 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 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

Salary Benchmarks

DevOps & Infrastructure

Expert

Senior

£60k

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Company Information

Company: [Employer hidden]

Upskilling platform for AI and tech adoption

Employees: 501-1000

Sectors: B2C, B2B, Artificial Intelligence, Enterprise, Education, Internal tools, Training, SaaS, Social Impact, Product

Benefits: Working from abroad, Free access to Wellhub's Starter, Basic and Bronze plans, M-Powered long weekend, Spill therapy support, Employee Assistance Programme, 24 days holiday, 3 winter shutdown days, 1 life event day, 2 volunteer days, Full Medical Insurance coverage through Bupa, Life Insurance coverage through AIG, Cycle to Work scheme, Tech scheme, Workplace Nursery benefit.