8 of 8 Distributed Systems Jobs in East London

Responsibilities About the TeamJoin ByteDance's KV caching and storage systems team, where we build and own mission-critical distributed KV caching and storage products powering ByteDance's global infrastructure. Our portfolio includes Redis-compatible services, next-generation shared-storage engines, and performance/cost optimization components, along … streaming, and collaboration suites — with strict requirements on availability, latency, throughput, global deployment, and cost efficiency.Responsibilities- Design and develop core KV caching and storage systems, including distributed caching systems and Redis-compatible KV storage systems, with a focus on low latency, high throughput, and high availability. ...

Software Engineer you will join a growing team building a modern medallion architecture data platform, working across everything from data engineering and distributed systems to infrastructure and frontend. This is a hands-on role in a small, collaborative team where you'll have real ownership and impact. Your … role: Design and build data platform components using Python Develop and optimise ETL pipelines, Data Lakes/Lakehouses and distributed systems Improve infrastructure, observability and CI/CD practices Maintain and evolve existing systems (microservices, ETL, Excel add-ins) Support platform operations, ensuring reliability and performance Location ...

firm in hiring a Rust Developer to join a highly influential Product team. This group sits at the core of the business, building the distributed platforms, internal services, and compute frameworks that underpin trading, quant research, and large-scale data processing across the organisation. This is a deeply technical … engineering role focused on high-performance systems, scalability, and platform reliability. You’ll work on foundational technology used by multiple engineering and investment teams, helping to shape the infrastructure powering a world-class trading environment. What you’ll do: • Design, build, and maintain scalable distributed systems ...

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 ...

track record of improving delivery and team performance. Strong background in data platforms, platform engineering or cloud infrastructure (ideally AWS). Experience with distributed systems, event-driven architectures and streaming technologies (e.g. Kafka). Excellent stakeholder management and communication skills, with experience working across cross-functional teams. ...

automation Qualifications Proven experience as a Staff Engineer, Principal Engineer or in an equivalent senior individual contributor leadership role Strong background in data platforms, distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform ...

join their engineering team and contribute to the design and development of scalable, high‐performance applications . This role involves working on modern distributed systems, building APIs, and collaborating with cross‐functional teams to deliver enterprise‐grade solutions. Key responsibilities: Design, develop and maintain backend services and APIs ...

/or Python writing numerically intensive code (not just scripting). Numerical Computing: Solid understanding of algorithm design, performance optimsation, memory management, and distributed systems. Domain Depth: Practical experience with cashflows, resets, curve frameworks (OIS, multi-curve), sensitivities, scenario risk, and regulatory measures. What This Role ...