3 of 3 Distributed Systems Jobs in Edinburgh

pipelines, APIs, and business logic. You'll collaborate closely with product managers, frontend engineers, and DevOps to deliver user-facing features built on robust, distributed systems. Responsibilities Collaborate with product, devops, backend and frontend engineers to deliver elegant and well thought out solutions for complex problems Implementing features. From … Backend or Full Stack development experience At least 3+ years of commercial Golang experience 2+ years of experience with high traffic/high load distributed systems and data pipelines Experience with Databases - relational and non-relational, including performance/schema/query optimization. ClickHouse and PostgresSQL ...

architect and optimise the platforms that deliver large-scale language models to production. You’ll be working on some of the hardest challenges in distributed AI systems: building ultra-reliable, ultra-scalable environments for inference and deployment. What you’ll be doing Designing cloud-native architectures … custom-built FaaS). Developing approaches to minimise cold-start latency through advanced container snapshotting, weight pre-loading, and graph partitioning . Building distributed inference pipelines with tensor parallelism, model sharding, and efficient memory scheduling to serve LLMs at scale. Experimenting with quantisation, pruning, and KV-cache management ...

implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company. You will work … then we’d love to hear from you. THE GAME PLAN Everyone on our team has a part to play Architect High-Impact Data Systems Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs Define standards for data modeling ...