76 to 100 of 1,626 Distributed Systems Jobs in the UK

expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely … product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We’re now looking for a Staff Engineer to help build and scale foundational infrastructure powering content understanding across Spotify. This ...

storage platforms — used by hundreds of internal services at exabyte scale. You'll take ownership of some of the hardest problems in large-scale distributed storage: from keeping thousands of tenants fairly and safely sharing the same infrastructure, to improving durability, performance, and scalability as the platform continues … scale. Designing for hardware and component failure as a constant, not an edge case, while keeping data durable and available across a massive, distributed fleet.Performance and efficiency. Finding and eliminating bottlenecks in a complex system, and making sure optimization effort goes where it has the most impact.Architectural evolution. Retiring ...

stack applications using frameworks such as React, Node.js, Spring Boot, Next.js or similar Designing and developing APIs, microservices and backend services for secure mission systems Integrating applications with cloud, data, analytics and streaming platforms Supporting the delivery of distributed software systems across secure and operational environments … Responsibilities Design, develop and maintain secure software applications, services, APIs and integrations within classified environments Build scalable, distributed systems supporting data, analytics and mission‐critical workloads Develop full‐stack features and backend services aligned to performance, reliability and security requirements Contribute to software design, architecture decisions and technical ...

stack applications using frameworks such as React, Node.js, Spring Boot, Next.js or similar Designing and developing APIs, microservices and backend services for secure mission systems Integrating applications with cloud, data, analytics and streaming platforms Supporting the delivery of distributed software systems across secure and operational environments … Responsibilities Design, develop and maintain secure software applications, services, APIs and integrations within classified environments Build scalable, distributed systems supporting data, analytics and mission‐critical workloads Develop full‐stack features and backend services aligned to performance, reliability and security requirements Contribute to software design, architecture decisions and technical ...

stack applications using frameworks such as React, Node.js, Spring Boot, Next.js or similar Designing and developing APIs, microservices and backend services for secure mission systems Integrating applications with cloud, data, analytics and streaming platforms Supporting the delivery of distributed software systems across secure and operational environments … Responsibilities Design, develop and maintain secure software applications, services, APIs and integrations within classified environments Build scalable, distributed systems supporting data, analytics and mission‐critical workloads Develop full‐stack features and backend services aligned to performance, reliability and security requirements Contribute to software design, architecture decisions and technical ...

verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over … content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling ...

expected to embody its contents each day. The Role We're looking for a Lead Software Platform Engineer working at the intersection of distributed systems and MLOps. You will own and scale our AI and data infrastructure as a product our customers build their science on, and that … handling of large binary inputs such as instrument images, and graceful degradation under load. Integrate AI models and large language models (LLMs) into production systems using architectures like retrieval-augmented generation (RAG), and architect the agentic layer above them: tool and function calling, MCP-based tooling, and agent runtimes ...

# Formula 1 is hiring a Systems Engineering Lead## Get the latest jobs to your inbox!1. Home2./3. Jobs at Formula 14./5. Systems Engineering LeadBiggin HillPosted 12 days ago37 views### Job DescriptionAre you ready to make your mark in the world of Formula … marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview: We are looking for a Systems Engineering Lead to establish and drive systems engineering practices across Formula 1’s operational technology landscape.Main Duties and Responsibilities: Systems Engineering Leadership ...

endpoints they run on. In this full-stack role with a strong emphasis on backend engineering, you will design and develop high-scale, distributed systems that give customers visibility into and control over agentic AI across their environments. The ideal candidate brings a deep understanding of building reliable … significant impact at a company dedicated to transforming how organizations manage and secure their technology environments. Essential Job Functions Design and develop high-scale, distributed backend systems that give customers visibility into and control over agentic AI across their environments Build services and integrations using LLM APIs, tool ...

expressive, and unmistakably Spotify. The Content Intelligence Product Area is a core part of Spotify’s Content Platform within the Experience mission. We build systems that create deep, machine-readable understanding of content across audio, video, text, and images before it reaches users. This enables automation, safety, and entirely … product experiences. Our work powers content enrichment, quality analysis, annotation platforms, and scalable intelligence systems that allow teams across Spotify to build without needing direct content understanding expertise. We’re looking for a Senior Backend Data Engineer to help build and scale the systems powering content understanding across ...

performance strategy, standards and excellence across the entire product and infrastructure landscape. You are accountable for ensuring that all customer-facing systems, APIs, infrastructure, databases, and the delivery pipeline perform at levels that meet customer expectations, enable rapid iteration, and drive cost efficiency. This spans frontend performance, API latency … Establish comprehensive performance measurement frameworks, including synthetic monitoring, real user monitoring (RUM), and observability-driven performance insights. Partner with the Observability team to instrument systems for performance visibility, including detailed metrics on latency percentiles, throughput, resource utilization and cost attribution. Define performance dashboards and reporting that make performance status ...

Purpose: Design, develop, integrate, test and support scalable full-stack software solutions across user interfaces, back-end services, databases, cloud platforms and IoT systems, applying sound engineering practices to deliver secure, reliable, maintainable and high-performing applications. Responsibilities Application Design & Development Design intuitive and clean user interfaces Design, implement … test front-end and back-end applications Design, implement and test interfaces between components of the system Integrate these applications with external systems Apply industry best practices to build maintainable, resilient systems Databases & Data Management Design efficient queries and APIs Work with relational and/or NoSQL databases ...

Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil … make critical decisions about delivering the best experience to our customers. This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed ...

marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview We are looking for a Systems Engineering Lead to establish and drive systems engineering practices across Formula 1's operational technology landscape. Main Duties and Responsibilities Systems Engineering … Leadership Establish, maintain and continuously improve systems engineering processes, standards and ways of working across Formula 1 engineering teams. Act as the organisation's subject matter expert for systems engineering, providing leadership and technical assurance across projects and programmes. Develop systems engineering capability across the organisation through ...

team, owning pieces of the reliability platform that hundreds of engineers depend on. You will work at the intersection of software engineering, observability, and systems reliability, turning reliability from a reactive concern into a proactive engineering discipline. You will partner with Platform Engineering, product teams, and Reliability Champions … mitigate, understand, and prevent a repeat. What you’ll do Build and own the reliability platform Implement comprehensive monitoring and observability using OpenTelemetry and distributed tracing. Maintain SLO, error budgets and burn‐rate tracking Establish and maintain 24/7 operational readiness including automated deployments, blue/green releases ...

team, owning pieces of the reliability platform that hundreds of engineers depend on. You will work at the intersection of software engineering, observability, and systems reliability, turning reliability from a reactive concern into a proactive engineering discipline.You will partner with Platform Engineering, product teams, and Reliability Champions to define … understand, and prevent a repeat. # **What you'll do** **Build and own the reliability platform*** Implement comprehensive monitoring and observability using OpenTelemetry and distributed tracing. Maintain SLO, error budgets and burn-rate tracking* Establish and maintain 24/7 operational readiness including automated deployments, blue/green releases ...

build scalable applications, services and platforms across On the Beach. This is a full-stack engineering position with a stronger emphasis on backend engineering, distributed systems and cloud-native architecture. Our backend engineers solve a wide variety of problems. You could be working on systems responsible … doing day to day Designing and building scalable backend applications and services Developing APIs used by customer-facing applications and internal systems Integrating with external suppliers and third-party platforms Building systems that process high volumes of requests and data Designing distributed and event-driven architectures Working ...

written today — and we’re just getting started. Role Overview As a Member of Technical Staff, Infrastructure in Harvey Research, you’ll build the systems that power how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal … work, and we’re now building the team to scale up our post-training efforts. You’ll own the infrastructure behind that effort: distributed training, RL rollout systems, the environments where models learn to use tools and complete complex legal workflows, and the internal systems the team ...

end. Integrate AI into real-world workflows. Put LLMs and ML models into production for real workflows: RAG pipelines, embeddings, prompt execution, agentic systems, fine-tuned models. Design systems that scale. Build systems that will hold up as we grow 10x, while being practical about what … seamless experience for customers. What We're Looking For 3+ years building and scaling production systems. Strong across backend fundamentals (services, data models, distributed systems), with deeper expertise in one or more areas — and a desire to keep expanding your breadth over time. Genuine excitement to build quickly ...

regularly and shaping the future of our AI-centric products. YOUR RESPONSIBILITIES Working on a new project focused on leveraging Rust for high-performance distributed data processing. Creating new features and improving the robustness, performance and resilience of the existing Rust codebase Solving complex business problems by designing … SKILLS NEEDED: Experienced Software Developer Proven commercial experience developing with Rust. Strong proficiency in low latency data handling and data transformation. Solid understanding of distributed systems, scaling and resilience Experience building and managing containerised solutions on one of the major cloud platforms (AWS, GCP, or Azure). ...

delivery. Role Overview We're looking for a Senior or Staff Engineer to take on some of the hardest problems at HIVED: the planning systems that decide how every parcel moves through our 100% electric delivery network. You’ll join the Routing Squad , which owns HIVED's entire planning … pipeline: demand forecasting, capacity planning and scheduling, sortation, our collections network and large-scale route optimisation. Most of the work is backend engineering on distributed, production-grade systems, built in close partnership with data scientists, analysts and our operations teams. If your depth is in operations research ...

largest companies operate? Some of the world's largest organisations are held back by the very software designed to support them. Complex legacy systems, fragmented infrastructure and slow moving processes make innovation harder than it should be. This company is changing that. They're building an AI native operating … system for the enterprise, designed to remove IT complexity, modernise critical systems and fundamentally change how large organisations operate. With a recently secured $60M Series A, backing from leading investors and major global enterprises already trusting their technology, they're making a serious impact in one of the most ...

planning, performance optimisation, and infrastructure scalability. (Required) Experience providing technical leadership, mentoring engineers, and guiding engineering best practices. (Required) Solid background in server operating systems, distributed systems, and platform architecture. (Required) Experience working with cross-functional teams to deliver technology solutions aligned to business strategy. (Required) Proven … agile methodologies. (Required) Ability to explain to senior management complex technical concepts. (Required) Broad and comprehensive understanding of the concepts and principles within systems infrastructure and platforms. (Required) Is knowledgeable in all stages and major activities of the incident life cycle. (Required) Knowledge of tools, approaches, and practices ...

clear view of where each one breaks Event-driven architecture in production with Kafka, RabbitMQ or equivalent. Ordering, replay, idempotency, dead-letter handling Distributed systems failure modes: partial failure, retries, backpressure, timeouts, circuit breakers Caching strategy and invalidation, at a scale where getting it wrong hurt Observability. … ERPs, CRMs and data platforms CI/CD, containers, release engineering You have owned something in production. On-call, incidents, the whole thing Agent systems are distributed systems with a non-deterministic component in the middle. If the fundamentals are not there, the AI layer does ...

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive … performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a One to Watch on the Sunday ...