576 to 600 of 1,669 Distributed Systems Jobs in the UK

influence decisions through practical recommendations Additional Knowledge & Skills Platform & Infrastructure Maintaining Infrastructure as Code for cloud‐based data platforms Exposure to containerised or distributed systems (AKS advantageous), including deployment, scaling, and operational considerations Orchestration & Version Control Operating Airflow at scale, including DAG reliability, scheduling, and failure handling Version ...

what we’re looking for: Essential Proven hands‐on experience developing enterprise applications using C#/.NET. Expertise in designing and delivering APIs, integrations, distributed systems and cloud‐native applications. A solid understanding of software architecture, system design, scalability, resilience and security principles. Experience working with cloud technologies ...

platform integrations Experience with Git-based workflows and CI/CD practices applied to infrastructure and platform delivery Strong troubleshooting skills across cloud infrastructure, distributed systems, and data or platform pipelines Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. ...

DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Please be aware that some of our UK roles ...

DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Please be aware that some of our UK roles ...

DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Please be aware that some of our UK roles ...

DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. Solid grasp of distributed systems, microservices, and RESTful APIs. An understanding of LLMOps tools for managing GenAI workflows. Please be aware that some of our UK roles ...

tools or practices, including responsible AI‐assisted development. Depending on the team, you may work with: C# and .NET; Microsoft Azure; RESTful APIs and distributed systems; React and Next.js; headless CMS platforms; Terraform and Infrastructure as Code; GitHub and Azure DevOps; CI/CD; Playwright and other automated ...

technologies.**Key responsibilities:** As Software Engineer, you will be responsible for: · Designing, developing, and deploying applications in a cloud-hosted distributed system to build our next-generation product· Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment.· Providing input into architectural decisions ...

needs and to the ever-changing technical landscape, including the use of AI technologies. Responsibilities Designing, developing and deploying applications in a cloud-hosted distributed system to build our next-generation product Collaborating with business stakeholders to identify requirements and gather feedback in a fast-moving environment Providing input ...

risk explainability that operate at scale across high-volume banking transactions. You will work at the intersection of Risk modeling, and NLP architectures, inference systems, regulatory explainability and auditability. This is a hands-on, Executive Director level role requiring deep expertise in ML operations, LLM integration, scalable ML systems … Databricks CDAO platform is good to have Experience with building production-grade ML pipelines, APIs and MLOps frameworks Experience in AML, monitoring and investigations systems is a strong plus Good understanding of data engineering concepts, distributed systems, and scalable architectures Familiarity with vector databases, model serving ...

direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals Drive architectural decisions and technical excellence across teams Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads Collaborate with engineering leaders globally to align on technical standards, best … management experience, including building and scaling teams Proven track record of establishing or significantly growing an engineering site or office Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation Experience with infrastructure supporting large-scale AI/ML systems, including ...

equivalent) and hybrid or cloud migration patterns. You can read and review application and infrastructure code, not just delegate it. Comfortable writing automation, debugging distributed systems issues, and making architecture decisions grounded in hands‐on experience. Solid background in observability tooling and incident management practices, including monitoring, tracing … alerting. You’ve used data from these systems to diagnose real production problems, not just configured dashboards. Excellent communicator and facilitator. Able to work across Product, Platform, Security, Support and LiveOps stakeholders. Skilled mentor who builds clarity, alignment, and confidence in engineers. Passionate about reliability and user experience ...

equivalent) and hybrid or cloud migration patterns. You can read and review application and infrastructure code, not just delegate it. Comfortable writing automation, debugging distributed systems issues, and making architecture decisions grounded in hands-on experience. Solid background in observability tooling and incident management practices, including monitoring, tracing … alerting. You've used data from these systems to diagnose real production problems, not just configured dashboards. Excellent communicator and facilitator. Able to work across Product, Platform, Security, Support and LiveOps stakeholders. Skilled mentor who builds clarity, alignment, and confidence in engineers. Passionate about reliability and user experience ...

Principal Engineer, Mobile Platform & Backend Systems About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content … reaching well beyond iOS and Android. Based in Mobile Engineering, you will use a close connection to customer and product needs to shape backend systems across engineering organizations. You will help decide which cross-team problems to tackle and where architectural investment will have the greatest impact, then work ...

/B tests, shipping iteratively, and constantly improving. We also put a strong focus on observability, monitoring, and metrics, so we can keep our systems healthy and continue optimizing at scale. At Preply, we ship 50–60 times per day , thanks to a solid CI/CD setup … engineering excellence through initiatives that drive customer and business impact, including, but not limited to: Back-end Development : Design, build, and evolve scalable backend systems using Python/Django, driving architectural decisions, creating new services, and owning critical integrations that support Preply’s growth; UI Development : Develop and evolve ...

technologists to design and build the infrastructure our delivery teams need to succeed. Designing and implementing infrastructure-as-code and DevSecOps processes to support distributed, containerised microservices architectures. Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global … learning. Who we're looking for: You are an engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel. You being experience and knowledge of at least one of the major cloud providers (AWS, GCP or Azure ...

provided by governments, and vast organisation and ownership datasets. About the Role We see a Data Engineer as a software engineer who specialises in distributed data systems. You’ll join the Data Engineering team, whose prime responsibility is the development and operation of the Data Collection Hub, a platform … downstream systems. We’re looking for someone with 2+ years of industry experience building and operating production software who enjoys working across data pipelines, distributed systems, and operational reliability. What you’ll do Engineer distributed ingestion services that reliably pull data from diverse sources, handle messy real ...

/B tests, shipping iteratively, and constantly improving. We also put a strong focus on observability, monitoring, and metrics, so we can keep our systems healthy and continue optimizing at scale. At Preply, we ship 50-60 times per day, thanks to a solid CI/CD setup … teammates to identify opportunities, validate hypotheses, and maximize customer value through experimentation and measurable outcomes; System Design: Shape architectural direction for complex systems, making technical decisions that improve scalability, reliability, maintainability, and developer productivity; Prioritisation & Decision-Making: Navigate ambiguity, evaluate trade-offs, and align technical investments with business objectives ...

expanding their Front Office technology team in Glasgow and are looking for an experienced software engineer to help build and enhance business-critical systems used across the trading environment. This is a highly visible role within a collaborative and fast-paced team, offering the opportunity to work closely with … solutions Build scalable backend services using modern Java and Spring Boot technologies Collaborate with engineering teams across multiple regions to deliver robust and reliable systems Support integrations with internal platforms, market data providers, and external counterparties Participate in system design discussions and contribute to technical decision-making Help drive ...

owning the architecture of two data platforms: Customer Intelligence platform (internal business intelligence): our Snowflake-based platform that brings data from multiple business systems together into a well-governed environment, so we can better understand our customers, identify those at risk of leaving, and spot opportunities to grow accounts. … architectural design — data models, ingestion, transformation and storage layers — for the team to build to Define the approach for integrating data from multiple business systems into a unified, governed warehouse Own the definition of data catalogues and a semantic layer, working with stakeholders across the business Design the approach ...

Senior Digital Assets Software Engineer to join our Digital Assets Tech Team in London. In this role, you’ll build and evolve trading systems for cryptocurrency markets, working closely with traders and researchers to deliver solutions in a fast-moving and constantly changing environment. You’ll play … real-world conditions, your work will directly impact how we trade in this rapidly growing space. What you’ll do Design and build trading systems for digital asset markets Develop and manage connectivity to centralised exchanges such as Binance, Deribit, and OKX Work directly with traders and researchers ...

understand pain points, proactively identify opportunities, and prioritise high‐impact platform improvements. Leading architecture and design discussions, providing expert guidance on cloud‐native patterns, distributed systems, and platform capabilities. Designing, implementing, and continuously improving CI/CD and GitOps workflows to enable safe, fast, and repeatable delivery. Championing … keep the platform modern, efficient, and competitive. What we would like from you Strong experience in platform engineering, SRE, or DevOps within a distributed cloud environment. Deep expertise in Kubernetes and containerised workloads, ideally in managed environments such as AKS. Proven experience designing and operating scalable, highly available cloud ...

leverage foundational AI and machine learning models to deliver secure, intelligent services. You will be part of a diverse, inclusive, and geographically distributed team focused on delivering real value to our customers. Job Responsibilities Contribute to end-to-end cloud-native microservices and data pipelines using modern technologies … prevent recurrence Ensure zero-downtime releases for end-users Monitor model and system performance, identifying and solving problems effectively Build reliable, easy-to-operate systems Continuously update and upgrade technologies and patterns Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production ...

using Docker (or similar). Assist in deploying and managing edge nodes for real‐time AI inference. Monitor system performance, reliability, and availability across distributed environments. Collaborate with senior engineers on troubleshooting and operational improvements. 2)AIWorkflowConfiguration Configure and optimize AI workflows using Fogsphere’s no‐code platform. Tune … interest (ROIs), thresholds, and filters. Learn and apply best practices for AI workflow deployment and optimization. 3)Integrations&APIs Support integrations with third‐party systems such as ERP, SCADA, safety, retail, or logistics platforms. Work with Fogsphere’s API‐driven platform for automation and reporting. Configure publish/subscribe ...