Top Software Engineer Jobs in London

Design and build scalable backend features using Java and Spring Boot. Collaborate with cross-functional teams, lead complex projects, make technical decisions, balance feature development with technical debt, optimize performance and testing pipelines, and mentor junior engineers while delivering reliable solutions for millions of users.

Senior full-stack engineer responsible for designing and delivering Prime brokerage features across backend services, frontend applications, and operations tooling. The role covers institutional onboarding, settlement, lending, credit, reporting, and tokenized securities. Responsibilities include designing for failure, owning production systems handling real financial value, mentoring engineers, conducting design-focused code reviews, and supporting an on-call rotation. The position requires in-person attendance in London at least three days per week.

Design, build, operate, and improve reliable software services for regulated investment workflows using TypeScript and Node.js. Own services throughout their lifecycle, maintain SLAs, support incident management and on-call operations, document systems, mentor engineers, and lead technical delivery. Collaborate with product, operations, customer-facing teams, and nontechnical stakeholders while improving resilience, observability, testing, scalability, and technical excellence.

Build and own core identity, onboarding, KYC, engagement, SDK, and shared platform services using Go. Define architectural standards, API contracts, and data consistency patterns while improving reliability and observability. Lead systems from design through production, solve scaling and regulatory challenges, participate in reviews and incident response, and mentor engineers. Partner with infrastructure and platform teams to enable product development across the organization.

Graduate Software Engineer working across backend engineering and market connectivity teams. Responsibilities include developing and enhancing software, building features with stakeholders, contributing to design, development, integration, automated testing, and maintenance, and collaborating with quantitative, product, infrastructure, and support teams to deliver trading solutions.

Design, build, and operate billing microservices for metering, subscriptions, invoicing, payments, and financial workflows. Lead projects end-to-end, ensure financial correctness and reliability, improve observability, investigate incidents, and collaborate with Product, Finance, and other teams to deliver scalable billing infrastructure.

Develop and operate Vercel's persistence infrastructure: manage regional clusters and fleets, write Go and use Terraform, work with Nomad, virtual filesystems, VMs and Linux primitives, ensure platform reliability and performance, provide on-call coverage, and collaborate across teams to deliver compute features like Persistent Sandboxes.

Designs, builds, and maintains platform software and deployment tooling across desktop, on-premise, cloud, and air-gapped environments. Responsibilities include production container images, stateful distributed-system upgrades, CI/CD pipelines, infrastructure self-service capabilities, deployment instrumentation, testing strategy, application security, and customer releases. The engineer contributes to architecture, validates specifications, and oversees the quality of AI-generated code while collaborating with engineers, architects, designers, product managers, and stakeholders.

Own database performance, scalability, availability, disaster recovery, and cost across a production SQL Server estate on Azure. Optimize queries, indexes, execution plans, and latency-critical card and ledger workloads; design horizontal scaling and HA/DR strategies; build diagnostic and automation tooling; lead incident response; and guide engineers on data access, ORM performance, migrations, and database architecture.

Designs, builds, and improves Mural’s Canvas platform, including real-time collaboration, shared document editing, spatial interactions, rendering performance, asset management, APIs, and AI-enabled capabilities. Owns initiatives from problem definition through measurement, designs scalable and reliable systems, optimizes performance, and contributes to technical reviews, mentoring, documentation, and engineering practices. Partners with Product, Design, and Engineering to deliver maintainable, high-quality editor experiences.

Designs, develops, deploys, tests, and reviews software applications, features, and defect fixes. Collaborates with team leaders and users to support a product roadmap, analyze requirements, document software, provide developer-level support, and learn existing codebases. The role also involves participating in planning meetings, conferences, and occasional team travel.

Design, build, and maintain scalable brokerage systems, including Go or similar backend services, gRPC microservices, React administrative interfaces, and vendor integrations. Lead regional engineering reliability, incident response, recruitment initiatives, mentoring, and cross-functional projects. Collaborate globally to support multiple markets, currencies, languages, regulatory requirements, and 24x7 platform stability. Troubleshoot production incidents and bugs while developing high-availability financial applications.

Leads client-facing delivery of complex Canton Network and Daml-based financial solutions. Advises enterprise clients on architecture, topology, integrations, performance, and Kubernetes onboarding. Provides technical leadership across pre-sales, requirements, solution design, implementation, and software delivery. Coordinates cross-functional initiatives, estimates complex solutions, develops performance strategies, customizes Helm charts, and serves as a subject-matter expert for Canton Network products and other CX engineers.

Build and ship AI-powered product capabilities for enterprise IT operations. Design production systems involving LLMs, agents, RAG, vector search, knowledge graphs, workflow orchestration, APIs, integrations, and automation. Own features from customer discovery through implementation, launch, troubleshooting, and iteration. Collaborate directly with customers and cross-functional teams while making pragmatic tradeoffs around reliability, cost, latency, and scalability.

Design, build, and operate enterprise-grade AI agents and agentic workflows. Integrate multi-provider AI platforms, implement orchestration, retrieval/RAG, observability, and IaC. Partner with clients to define use cases, run POCs, deploy scalable cloud-native systems, measure agent performance, and craft reusable patterns and documentation.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Design, develop, and maintain KDB-based systems for large options datasets; build scalable real-time and historical data applications; write secure production code, optimize query performance, ensure high availability and resiliency; collaborate with stakeholders and support teams; work within agile CI/CD processes and assist platform migration.

Develop and maintain C++ and Python simulation software for evaluating autonomous driving systems. Integrate driving-stack, robotics, vehicle-platform, sensor, and machine-learning components; investigate simulation-versus-road differences; improve reproducibility, reliability, observability, testing, debugging, and performance; and collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform, and Data teams.

Provide technical leadership for cybersecurity R&D projects, from rapid prototyping through production development. Advance methods for defending against unknown cyberattacks, define technical strategies, mentor engineers, collaborate cross-functionally, and communicate with executive leadership. The role requires expertise in programming, software architecture, statistical analysis, malware forensics, Docker, cloud environments, CI/CD, and version control.

Own frontend product features from ideation through launch and iteration. Build accessible React interfaces, make independent UX and UI decisions, run A/B tests, analyze Mixpanel data, conduct user interviews, and collaborate with designers, product managers, and backend engineers. Maintain robust UI tests and use customer feedback and analytics to improve product adoption and quality.

Build and operate large-scale observability infrastructure, including telemetry pipelines, instrumentation libraries, eBPF tracing, continuous profiling, cross-signal correlation, unified query tools, and AI-assisted diagnostics. Improve reliability, efficiency, detection, and incident resolution across massive GPU, TPU, and Trainium infrastructure while partnering with research, inference, product, and infrastructure teams.

Develop and maintain scalable AWS microservices and backend data-processing systems. Build Java services, Kafka event-driven applications, and database solutions while supporting critical incidents, documenting architecture, optimizing cloud costs, and contributing to CI/CD and infrastructure-as-code practices. The role also involves mentoring junior engineers, promoting AI-powered development tools, and helping deliver reliable data platforms that support cybersecurity, analytics, and machine-learning use cases.

Develop internal tooling and technical processes for building, testing, integrating, and releasing Graphcore’s machine learning software stack. Guide developers on build practices and dependency management, collaborate with QA and software teams to resolve integration issues, contribute software fixes, and help ensure reproducible builds in secure, sandboxed environments.

Design, develop, test, and maintain scalable backend services and APIs for Agent Studio. Build orchestration, configuration, integrations, deployment, lifecycle, authentication, authorization, observability, and runtime management capabilities. Collaborate with frontend, AI/ML, product, UX, DevOps, and platform teams to deliver reliable, secure, high-performance services. Troubleshoot complex production issues and contribute to technical designs, code reviews, testing, and continuous engineering improvements.

Develop and optimize high-performance embedded Linux software for autonomous vehicle systems. Investigate latency and performance bottlenecks, instrument code with profiling tools and metrics, evaluate performance technologies, establish benchmarks, and optimize critical code paths. Collaborate across engineering teams to diagnose issues, prioritize improvements, and enhance runtime efficiency and reliability across Wayve’s development fleet.