76 to 100 of 153 Distributed Systems Jobs in the UK excluding London

solve complex technical challenges Help shape technical strategy and influence future hiring and engineering standards Your Skills & Experience Strong commercial experience building and scaling distributed systems in production Deep knowledge of cloud platforms, ideally GCP, alongside Kubernetes and Terraform Expertise in backend engineering using Python and relational databases … fast-paced environment with a high level of ownership A mindset focused on impact, problem-solving, and continuous learning Exposure to trading systems, financial platforms, or regulated environments is beneficial but not required Interest in leveraging modern AI development tools to improve productivity What They Offer ...

market and a rapidly growing user base. The organisation is currently undergoing a significant transformation across its technology function, moving away from legacy, outsourced systems toward a modern, cloud-based architecture. This includes an ongoing migration to AWS and a broader effort to rebuild backend services for scalability, reliability … backend services, including architecture, coding standards, and system design Build and maintain production-grade services using modern backend technologies (e.g. Go, TypeScript) Deliver systems that are scalable, reliable, and performant, supporting growing user demand Make sound architectural decisions, balancing speed of delivery with long-term maintainability Cloud & Platform Engineering ...

rich integration layer ensuring the service is robust and responsive on the 24/7 basis our customers expect Experience of building enterprise-grade distributed solutions on cloud platforms will be essential, as we continue to deliver applications that are secure, observable, scalable, and reliable The ideal candidate will … complex technical concepts to both technical and non-technical stakeholders. Proven experience leading software development teams in the delivery of complex projects. Experience with distributed systems, microservices architecture, and cloud-based solutions. Apply today by completing an online application... #LI-ES1 #LI-Hybrid Everything you'll love ...

C# and Microsoft Azure Ability to work across multiple technologies and frameworks, including React, JavaScript and TypeScript Experience building secure, scalable, event-driven and distributed systems Knowledge of CI/CD, DevOps practices, and Infrastructure as Code Excellent stakeholder and communication skills, with experience in consulting or client ...

hands-on Azure engineering experience * Terraform in production environments (primary IaC tool) * Python for automation, integrations, or agent development * Designing SLOs/SLIs across distributed systems * Observability tooling (e.g., Grafana, alerting, synthetic monitoring) * Event-driven architecture (Kafka, Splunk, REST APIs, webhooks) * Cloud security best practices (RBAC, encryption, Private ...

Annual Salary - £250,000 - £600,000 (base salary £120k - £160k+) Primary Skills - Python, C++, quantitative, research, market data, simulation frameworks Secondary Skills - distributed systems, cloud computing, execution systems, performance optimization, data pipelines, Linux Remote Status - No Remote Client Willing to Sponsor - Yes Degree - Bachelor's Degree … performing startup. The CTO personally reviews candidates and expects exceptional technical and communication skills. The role covers areas such as real-time market data systems, quantitative research infrastructure, cloud-based simulation platforms, trading execution environments, and tooling for new strategies and asset classes. The stack is primarily Python with ...

challenges through scalable, secure, and resilient technology solutions. You’ll play a key role in shaping engineering standards, leading talented teams, and delivering critical systems end‐to‐end. This is a hands‐on, individual contributor role with major influence‐owning architecture, driving technical direction, and shaping a next‐generation … Corporate Actions engine from the ground up. What you’ll do Own architecture and design for a large‐scale, distributed platform Lead hands‐on engineering of a greenfield system end‐to‐end Set engineering standards and influence technical direction Drive best practice across microservices, APIs, data, and DevOps Partner ...

Strong commercial experience in Python backend development . Experience building APIs and working with cloud-native architectures. Solid understanding of Docker, Kubernetes, and scalable distributed systems . Experience using GitHub for version control, pull requests, and CI/CD workflows. An agile mindset and the confidence to work … tape. Remote flexibility with a culture focused on delivery, ownership, and innovation. If you are a backend Python developer who enjoys building intelligent, scalable systems in Azure and wants to work at the forefront of applied AI, this opportunity is worth exploring. ...

every day. You'll set the technical direction across an enterprise content management platform, the Design System, and the wider stack (with various systems built across .Net, React, React Native & Java), and you'll make small, safe, frequent change the norm rather than the exception. In short: you shape … help set the direction for how we adopt it well. What you'll bring Deep, modern engineering craft secure-by-design, cloud-native architecture, distributed systems, API/event patterns, resilience engineering, IaC and policy-as-code CI/CD. You're comfortable setting baselines and boundaries other ...

scalable, high-performance solutions across a platform used by millions of users globally. You will be responsible for shaping the future direction of our systems, ensuring that both current and future needs are met through forward-thinking strategies, engineering excellence, and modern architectural practices. In this leadership role … Principal Engineers and Architects in complex environments. Strong understanding of AI integration patterns (e.g. RAG, embeddings, vector databases), cloud‐native architectures, and scalable distributed systems. Experience overseeing AI‐enabled product capabilities at scale. Proven ability to drive high standards in system design, delivery practices, and operational performance across large ...

help shape and scale their platform from the ground up. Exciting opportunity to work at the intersection of data engineering, AI, and operational systems, designing solutions that directly drive business decisions and real-world outcomes. You will play a key role in delivering enterprise platforms using Palantir Foundry … production environments Strong engineering background with expertise in at least one of: Python, SQL, PySpark, or TypeScript Strong understanding of modern data architectures & distributed systems Ability to work in fast-paced, ambiguous environments Excellent stakeholder engagement and communication skills Experience building: Data pipelines & transforms Ontologies and data models ...

create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Your responsibilities Design, architect and deliver agentic, LLM-powered systems in AWS, ensuring production readiness, scalability, reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. … Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production-grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands-on experience integrating LLMs into ...

Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI/… latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps - Deep understanding of CS fundamentals, computational complexity and algorithm design - Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas ...

Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement AI/… latency optimization, cloud infrastructure optimization, knowledge graphs, and MLOps - Deep understanding of CS fundamentals, computational complexity and algorithm design - Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes - Excellent knowledge of Python and core data science libraries including Pandas ...

technical specialist in design and architecture - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in cloud based solution (AWS or equivalent), system, network and operating system - Experience in external or internal customer facing, complex and large … Internet scale PREFERRED QUALIFICATIONS - PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or experience working with or evaluating AI systems - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Amazon is an equal opportunities ...

Next.js Proven track record designing and delivering scalable software architectures Cloud experience across Azure, AWS or GCP Strong understanding of API design, integrations and distributed systems Experience providing technical leadership and mentoring engineers Passion for modern engineering practices and AI-assisted development Excellent stakeholder management and communication skills ...

/Russel Group university, backed by A's at A-level You're a technologist who enjoys collaborating and problem solving, working on complex, distributed systems You have strong backend coding skills - you can come from any tech background (e.g. C#, Java, Python, TypeScript, Full Stack ...

data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java, Scala Experience with data modelling , ETL processes, and distributed systems Comfortable working in agile and DevOps environments Experience in sensitive or regulated data environments is highly desirable eDV eligibility is an essential ...

Infrastructure Engineer/Python Developer, London, COR7590 Are you an experienced Data Infrastructure Engineer or Python Developer with a passion for building robust data systems and working with cutting-edge AI technologies? Looking for a role where you can take ownership of critical infrastructure within a fast-growing fintech … opportunity for you! The Role As a Data Infrastructure Engineer/Python Developer, you'll be responsible for designing, building and maintaining the systems that transform large volumes of complex data into reliable, high-quality datasets. You'll use Python, PostgreSQL and LLMs, and work across data engineering, backend ...

Software Engineering Manager - Container and Virtualisation Infrastructure Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. … customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office‐based roles. Teams meet two to four times yearly in person, in interesting ...

development life cycle (SDLC), as this dynamic role will require you to rapidly prototype - and ultimately move into production - highly complex, reliable and performant systems - oftentimes from scratch. Role : Develop ultra-low-latency trading systems C++ or Rust code Work closely with a close-knit team of Software … Developers and Quant Traders Build mission-critical research systems from scratch This is an early-stage hire for the team. Much of your work will be completely greenfield. You will be involved in the designing, prototyping, testing and productionising new software. Providing support to a small number of junior ...

annum We're hiring multiple Software Engineers from junior to senior level to join a growing technology team delivering scalable, high-performance systems within a global financial services environment. Key Skills & Responsibilities: Designing and developing high-quality, scalable software solutions. Working across the full SDLC in a modern engineering … practices. Contributing to architecture, innovation, and continuous improvement. Strong programming experience in Python (essential) Exposure to Golang or Java (nice to have) Experience with distributed systems/microservices architecture. Knowledge of APIs, system design, and cloud environments. Strong focus on clean code, testing, and engineering best practices. This ...

Hybrid: Leeds (2 days per week in the office) Requirements * Strong Java + Spring Boot background * Proven experience in back end engineering (APIs, microservices, distributed systems) * Ability to design and deliver solutions, not just implement tickets * Experience working across end-to-end systems with an understanding ...

real-time stream processing Strong knowledge of AWS cloud services Hands-on experience with Databricks and large-scale data platforms Good understanding of distributed systems and scalable application design Experience with REST APIs, CI/CD pipelines, and containerized deployments Key Responsibilities: Design, develop, and maintain scalable backend ...

This is a generalist engineering role suited to someone who values adaptability, enjoys learning new tools, and can contribute across a variety of backend systems and services. You'll work closely with product, data, infrastructure, and frontend teams to design, build, and maintain scalable applications that power critical business … rather than being tied to a single language or framework. Role The Backend Developer will design, build, and maintain scalable backend services, APIs, and distributed systems. Write clean, maintainable, and well-tested code across multiple programming languages. Collaborate with product managers, designers, and other engineers to deliver high-quality ...