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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** Metamindz - **Location:** London, UK - **Experience:** Experienced - **Salary:** £70,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Batch Processing, Big Data, Distributed Systems, PostgreSQL, Performance Tuning, Software Architecture, Data Streaming, ReactJS, Large Language Models, Backend, Kotlin, Webpack, AI Platforms, Front End Software Development - **Published:** August 11, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=87849d00a35d3ee4 ## About the Role * 3+ years of backend engineering experience, ideally with exposure to platform or infrastructure work * Strong system design instincts and the ability to own problems across APIs, infrastructure, and data flows * Experience with distributed systems, PostgreSQL at scale, queueing, and large-scale batch processing * Comfortable benchmarking and tuning systems under real production load * Strong engineering fundamentals and a pragmatic approach to architectural trade-offs * Familiarity with LLM infrastructure and high-throughput AI workloads * High-agency mindset - someone who identifies problems, fixes them, and raises the engineering bar around them * Experience with the Java ecosystem; Kotlin is the primary backend language at Conduct ## Description We're looking for a Backend Engineer to help build the foundational infrastructure that allows our client to scale its AI platform to some of the world's largest companies. This is a hands-on backend and platform role where you'll work on distributed systems, APIs, data flows, infrastructure, and the systems powering large-scale LLM workloads. The role is broader than simply building backend features. You'll own problems end-to-end, from system design and architecture through implementation, production, and ongoing optimisation. You'll work closely with product engineers to build the infrastructure and internal tooling that keeps them fast and unblocked., * Backend architecture and production systems supporting enterprise customers * Infrastructure that allows product engineers to focus on building features rather than maintaining plumbing * Shared abstractions, internal tooling, and sensible platform defaults * Distributed systems handling large-scale data and batch processing * Reliable LLM infrastructure dealing with high token throughput, real-time workloads, and unreliable providers * Core systems around authentication, observability, job orchestration, and reliability * Performance optimisation and scaling as Conduct moves from early-stage systems to enterprise scale Stack: * Kotlin backend with the wider Java ecosystem * PostgreSQL and large-scale data processing * Temporal for durable execution and job orchestration * PortKey for enterprise-compliant LLM routing * Specialised LLM infrastructure and harnesses * React, Vite, and TanStack on the frontend What we offer: * Full-time, in-person role in London * The opportunity to work on infrastructure powering an AI-native enterprise product * Significant ownership from day one in a small, talent-dense engineering team * Complex distributed systems and LLM infrastructure challenges at real enterprise scale * Direct impact on the developer experience and reliability of the entire engineering organisation * A high-velocity, low-ego environment with strong engineering ownership * The opportunity to work on systems where the infrastructure decisions you make directly shape how the company scales ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Micro Frontends with Module Federation: Why and How?](https://www.wearedevelopers.com/videos/165-micro-frontends-with-module-federation-why-and-how) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Micro-Frontends with Module Federation: Beyond the Basics](https://www.wearedevelopers.com/videos/298-micro-frontends-with-module-federation-beyond-the-basics) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [What’s the Difference Between Frontend and Backend Development?](https://www.wearedevelopers.com/magazine/240-what-s-the-difference-between-frontend-and-backend-development) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)