Top Software Engineer Jobs in London

Design, build and operate cloud-native backend microservices (Java) for banking products. Ensure secure, reliable, scalable systems with strong testing, performance tuning, zero-downtime releases, and production support including incident management.

Lead design, build, and operate cloud-native AWS microservices using Kubernetes. Drive CI/CD, containers, IaC, monitoring, reliability, and incident resolution. Champion AI-assisted engineering practices, mentor engineers, participate in architecture reviews, and optimize platform availability and scalability for low-latency trading.

Designs, develops, tests, and maintains scalable, secure front-end applications using React and TypeScript. Uses AI-assisted development tools responsibly, produces architecture artifacts, improves code quality, debugs complex issues, and creates visualizations from large datasets to drive system improvements.

Design, build, and operate LLM inference backend services focused on routing, batching, scheduling, streaming, and quota management. Implement APIs/SDKs, profile and optimize performance (CPU, memory, network, GPU), improve reliability and observability, support CI/CD-safe deployments, and learn LLM serving fundamentals while applying responsible AI and enterprise-authorized AI-assisted development tools.

Own and maintain core send infrastructure for international payments, build customer-facing send journey features, collaborate with product/design/data, make architectural decisions, ensure reliability and performance, and implement backend-heavy work with some frontend involvement.

Design, build, and support C++ production systems, tools, and workflows for computer vision on Spectacles. Improve reliability and calibration (especially eye-tracking), build evaluation and debugging tools, ensure quality and performance through strong testing, and collaborate with CV, platform, product, and infra teams to productionize research.

Build and operate Kubernetes-based infrastructure and tooling to support development, testing, deployment and scaling of Graphcores ML software. Manage cloud infrastructure, CI/CD practices, and collaborate with software teams to improve reliability and observability of HPC AI platforms.

Design, deploy, and maintain tools and services for build, CI/CD, packaging, and releases. Manage cloud and Kubernetes infrastructure, use IaC, reduce toil, and support junior engineers for reliable ML software delivery.

As a Senior Software Engineer, you'll innovate and maintain scalable systems in a multi-disciplinary Agile team, focusing on sports betting products.

The Senior Staff Engineer will lead the development of a Risk Assessment Platform, focusing on system optimization, data integrity solutions, and technical leadership.

Senior SDET responsible for designing scalable test strategies, building automation frameworks, managing test environments and data, and executing UI and API tests. Collaborate with engineers and cross-functional teams to ensure quality-first delivery across cloud-native, CI/CD-driven projects in financial services.

Lead strategy, architecture and implementation of test automation frameworks for web and mobile. Design and maintain UI, API and service tests, integrate tools into CI/CD, manage cloud testing, run performance and accessibility testing, and mentor engineers to drive quality engineering across projects.

Design and build reliable, scalable systems for business onboarding and verification across Europe and the UK. Automate information collection and decisioning, create adaptable onboarding journeys, implement controls to mitigate financial crime risk, and own projects end-to-end while collaborating with Product, Compliance, Operations and other engineering teams.

Design, build, and operate scalable, high-performance backend services and APIs. Lead architecture, code reviews, and cross-team integrations. Integrate AI/ML responsibly, diagnose and resolve production issues, and participate in on-call rotations to maintain operational excellence.

Design, build, and maintain low-latency, high-throughput distributed backend microservices for pricing. Implement caching, design APIs and data models, participate in architecture and code reviews, operate event-driven systems (Kafka/Kinesis), and integrate AI/ML-enabled solutions safely.

Develop, test, monitor, and debug production software within a team; apply software design principles, data structures, APIs, and database design; collaborate with stakeholders and continuously improve systems and technical skills.

Senior product engineer working on scaling and building Wealth & Investments features: architect high-availability Yield Engine, build brokerage and trading infrastructure, and deliver secure, high-concurrency distributed systems. Collaborate with PMs, designers, and analysts to define product and technical strategy, break down complex projects, and deliver well-tested, performant web services in production.

Lead development of Java-based services and front-end desktop apps to support pricing, quoting and market workflows for equities derivatives. Drive automation, integrate AI/ML autopricers, build scalable cloud deployments, design secure APIs, promote AI-assisted engineering practices, participate in code reviews, and collaborate across global teams.

Lead technical contributor on the ETF Technology team delivering secure, scalable Java/Oracle applications. Design, develop, test, and support production systems; partner with product, portfolio management, and platform teams; drive operational stability, automation, and adoption of enterprise AI-assisted engineering practices.

Design, architect, and develop scalable Go-based microservices and REST APIs for threat detection, case management, and incident response. Lead system design, own technical initiatives, mentor engineers, integrate AI/LLM capabilities, operate cloud-native services on Docker/Kubernetes and cloud platforms, participate in on-call rotation, and drive reliability and architectural improvements.

Build and scale cloud-native backend services for a global detection-engine platform. Design high-performance, resilient distributed systems, collaborate across teams, mentor engineers, and drive testing, CI, and AI-enhanced detection workflows at internet scale.

Build and maintain ultra-high-scale data platforms and pipelines (petabyte scale). Write fault-tolerant Java/Spark code, design low-latency query capabilities, improve performance and stability, participate in technical reviews, and enable customers/internal teams to query and extract analytics from event data.

Design, implement, and operate discoverability and search features for the AISOAR marketplace. Lead end-to-end technical implementations, ensure high availability and security, troubleshoot platform issues, collaborate with customers and security partners, use observability tools, drive platform improvements, and participate in monthly on-call rotation.

Lead and implement core infrastructure platform initiatives (multi-account/region Kubernetes clusters, MLOps, standardized deployments, authentication). Collaborate with product engineering stakeholders to scope requests, remove operational toil via automation, drive platform adoption, and mentor engineers to improve developer productivity across the organization.

Lead backend engineering to build secure, scalable banking services and shape engineering culture. Drive operational excellence, hiring standards, career development, communities of practice, reusable frameworks, and cross-team collaboration while supporting production systems and incident management.