1 to 25 of 48 Distributed Systems Jobs in the City of London

Backend Engineer: Distributed Systems Specialist Location: New York or London (Hybrid) Salary: $300,000 – $350,000 USD About Us We’re a stealth-mode infrastructure venture building next-gen primitives for decentralized execution. Our mission: rethink how distributed systems scale, sync, and self-heal — with … focus on performance, modularity, and cryptographic integrity. Our team includes protocol veterans, systems engineers, and cryptography researchers pushing the limits of what’s possible in Web3 infra. The Role We’re hiring a Backend Engineer with deep distributed systems expertise to help architect and optimize our core ...

Lead Software Engineer | Distributed Systems | Sustainable Cloud Native Platform 💸Up to £130,000 per annum plus bonus plus stock 🏠Central London office 🖱️Golang, Rust, C, Kubernetes, Linux, Cloud Native, Distributed systems... Are you a Lead Software Engineer with extensive knowledge of building distributed systems? Looking … Lead Software Engineer: Tech agnostic but preferable experience working with Golang, Rust, Java and/or C/C++. In-depth knowledge of distributed systems, building solutions at scale where performance, reliability and availability are key considerations. Confident in leading the definition and creation of solutions from ...

retail estates. They’re hiring a Technical Solutions Engineer, not a TAM, not a PM, not an implementation role. Think: deep troubleshooting, edge deployments, distributed systems, containers, logs, Linux, cloud , and full technical ownership of AI models running across thousands of PoS devices . If you love pulling … systems apart, debugging across multiple layers, and being the technical face of a cutting-edge AI product, this is for you. What You’ll Be Doing Own the technical success of enterprise deployments across thousands of PoS + edge devices Troubleshoot end-to-end: AI model behaviour, device integrations ...

Role: Rust Distributed Systems Software Engineer - Up to £200k + Bonus Salary: Up to £200k + Bonus Location: London (Hybrid) Skills: Language agnostic, just need to be a keen technologist (Ideally experienced in Rust, Python or C++) This firm is an elite company with high tech standards … find the best team to suit your skillset/interests but you could be working on: • Designing and developing scalable, tested and production grade distributed systems • R&D work for functional programming; either pre-existing languages (such as Rust and Erlang), or purpose-built languages similar to OCaml ...

technical challenge. What You’ll Work On Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds. Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes … performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware. Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior. Work with the Best: Work side-by-side with world-class ...

This role sits within a high-performing engineering group responsible for building and supporting the core systems that underpin real-time trading activity. The successful candidate will work across the full software development lifecycle, contributing to the design, build, deployment, and optimisation of highly scalable, performance-critical applications. … Responsibilities Build, test, and enhance high-performance trading systems using C++ and Python Translate quantitative models and trading logic into robust production-ready software Develop internal tools and interfaces used directly by front-office trading teams Improve market data ingestion, exchange connectivity, and real-time data flows Contribute ...

ideal candidate comes from a top-tier tech environment (FAANG, elite trading, hyperscale infra). They have experience building technology 0→1 , owning systems end-to-end, and working close to the metal. They will operate across everything from bare-metal Linux to modern build and observability stacks . … clusters, network configuration, and large-scale orchestration. Set observability standards; expand monitoring, alerting, and performance metrics across platforms. Analyze networking, kernel-level performance, and distributed systems—solving core challenges in a multi-petabyte, multi-cluster environment. Build Python tools for automation, reliability engineering, and performance analysis. Design highly ...

join the team in central London. This is a unique opportunity to help build a transformative new platform at the intersection of software systems, automation, and intelligent infrastructure. Founded by leading academics and proven entrepreneurs , the business is backed by top-tier investors and is solving complex technical problems … that demand creativity, rigour, and ambition. The Role Build and own core systems and architecture from the ground up Work closely with the founding team on product direction and technical strategy Make key decisions across the full stack — from infrastructure to user-facing elements Contribute to the early engineering ...

next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions … pipelines to process large datasets from multiple sources, including real-time market data and fundamental data. Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers. Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. ...

Qualifications: 3+ years of experience administering Solace PubSub+ messaging systems. Strong background in production support , preferably in a 24x7 enterprise environment. Experience working with distributed systems over WAN , with an understanding of networking, latency, and failover strategies. Solid experience with Prometheus and Grafana for system monitoring and alerting. … Proficiency in troubleshooting message delivery, persistence, and topic routing. Experience with capacity management , performance tuning, and system scaling. Familiarity with Linux/Unix systems and scripting (Bash, Python, etc.). Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills. Nice to Have: Experience ...

seeking a DevOps/Platform Engineer to maintain and enhance our existing platform infrastructure, with opportunities to contribute to backend development when needed. Our systems are already live and in active use, so your focus will be on reliability, performance, automation, observability, and clean, maintainable Infrastructure-as-Code. … pipelines using GitHub Actions Containerise and deploy backend applications using modern tooling (e.g., Docker, Kubernetes) Implement and manage comprehensive logging, monitoring, and alerting systems Contribute to the backend codebase for service integrations, internal tooling, and incident resolution Improve developer workflows and internal automation to increase team velocity Collaborate with ...

develop your technical depth , gain exposure to DevOps, cloud, and observability practices, and help define how we build software at Firenze. With no legacy systems , you’ll be shaping our platform from the ground up and growing alongside a team that values mentorship, learning, and engineering excellence. Key Responsibilities … pipelines) and learn how to scale reliable delivery. Performance & Observability: Gain hands-on experience with monitoring tools and learn how to build observable systems from day one. Documentation & Developer Experience: Help create clear technical docs and reusable tooling that makes development smoother for everyone. Cross-Functional Collaboration: Partner with ...

across development and operations teams. Hands-on experience with Kubernetes, Linux/Unix, and containerised systems. Experience building and operating deployment pipelines and debugging distributed systems. Knowledge of relational databases (SQL) and NoSQL technologies. Familiarity with modern architectures including containers, APIs, and streaming platforms. Experience working in Agile environments ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

backed stealth-mode company building behavioural AI solutions for the retail industry. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store … flexibility. Responsibilities: Design and implement reactive, real-time web interfaces that help manage & redefine what is possible with in-store content personalisation Contribute to distributed, event-driven backend services connecting our web experience with information from remote devices and external data sources. Build and document APIs (OpenAPI/AsyncAPI ...

here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development … skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs ...

used by some of the most sophisticated technology and financial services environments globally. This is an opportunity to work on low-latency, high-throughput distributed systems, solving complex engineering problems at scale within a collaborative, high-performing team. Key Responsibilities Design, build and maintain high-performance distributed … team support and operational responsibilities Technology Environment Core Java (deep JVM knowledge – minimal reliance on frameworks) Kafka & event-driven architectures Low-latency, high-throughput systems Kubernetes (services, deployments, stateful sets) Terraform Hazelcast/Hazelcast Jet (bonus) Get in touch! - Darnell@Thyme.Global ...

phenomenal scale and reliability of the world best ai cloud platform. The engineering team is small, ambitious, and deeply technical, building the orchestration systems that keep thousands of GPUs running at peak performance across global data centres. This role sits at the heart of it, designing and scaling … systems that make AI at exascale possible. What You’ll Focus On You’ll help shape the orchestration layer for one of the most advanced AI compute environments in the world. Your work will involve: Designing core platform services for cluster provisioning, workload orchestration, and resource management APIs. Building ...

Other modern data technologies for fast storage and retrieval Strong expertise in AI/ML integration within enterprise architectures Deep knowledge of data modelling, distributed systems, and micro-services Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes) Solid understanding of data governance, security, and regulatory ...

experience with the full software lifecycle in agile environments and CI/CD pipelines. Strong understanding of performance, scalability, security, and observability in distributed systems. Ability to translate complex requirements into resilient, production-ready software. Excellent collaboration and communication skills. Why This Role This is your chance to work ...