Top Software Engineer Jobs in London

Design and build query planning, optimization, execution, storage, and incremental processing capabilities for Palantir Foundry. Extend distributed data engines and Iceberg integrations, improve correctness and performance, investigate complex system issues, and develop tests and benchmarks. Collaborate with product teams, customers, and open-source communities to deliver reliable data infrastructure.

Build and scale backend systems for Wise’s Product Eligibility platform, determining which products and features are available to customers. Responsibilities include shaping technical vision, developing distributed systems, designing APIs and database schemas, optimizing queries, supporting platform and back-office tooling, contributing to customer-facing flows, and collaborating in an agile team with product and analytics partners.

Build and enhance backend pricing, billing, reconciliation, and automated control systems for external partners. Design secure, scalable, resilient services using event-driven architecture, Kafka, MongoDB, and MariaDB. Contribute to architecture, code reviews, observability, testing, incident response, and on-call support. Collaborate across functions, mentor engineers, participate in hiring, and maintain systems supporting compliance, auditability, and financial integrity.

11-week internship building high-performance research platforms and trading tools. Work in small teams on distributed systems, NLP/ML applications, and web frameworks while collaborating with senior engineers.

Develop and support secure, reliable cloud platform software for digital banking. Responsibilities include building developer tools and infrastructure, improving CI/CD, writing and reviewing full-stack production code, troubleshooting systems, supporting production incidents, and collaborating on resilient, observable, and secure services. The role uses Java, Spring, AWS, Terraform, Kubernetes, and modern DevOps practices while contributing to engineering communities and responsible software development.

Develop, operate, and evolve cloud-native platform infrastructure, including Kubernetes services, developer tooling, CI/CD workflows, infrastructure as code, and automated remediation. Provide production support and incident response while applying security controls, hardening standards, and responsible AI-assisted development practices. Collaborate with engineers, contribute to code reviews, and grow expertise in cloud platform engineering.

Develops, tests, troubleshoots, and maintains secure, scalable software components within an agile engineering team. Responsibilities include writing Python code, analyzing data, supporting system design, applying SDLC practices, improving automation with authorized AI coding tools, and considering upstream and downstream system impacts. The role requires software development experience, database querying knowledge, testing, operational stability, CI/CD, application resiliency, and secure coding practices.

Build high-performance tools and large-data research platforms to enable trading strategies. Work in small engineering teams to design systems, develop platforms and web frameworks, and apply techniques such as distributed computing, NLP, and machine learning to solve complex problems.

Develop and support secure, scalable software for AI/ML data platforms. Responsibilities include Python architecture and development, cloud-native and containerized application delivery, code review, testing, troubleshooting, operational stability, and automation of recurring remediation. The role also promotes validated AI-assisted engineering practices and collaborates with product managers and data strategy teams. Preferred experience includes graph databases such as AWS Neptune and generative AI engineering pipelines.

Build and deploy customer-focused Android applications for Wise Assets, using Kotlin and modern Android architectures. Develop testable code, integrate REST APIs, collaborate cross-functionally, prioritize user needs through data-driven decisions, and communicate technical concepts clearly. Experience with Compose, Gradle, and GitHub Actions is advantageous.

Design and build scalable pricing services for Wise’s Personal & Business Pricing Team. Responsibilities include making architectural decisions, conducting code reviews, improving reliability and observability, owning technical roadmaps, resolving incidents, partnering with product and compliance teams, and mentoring engineers. The role contributes to pricing infrastructure that supports global product launches, promotions, and experiments.

Design and build distributed services for Cloudflare’s CDN configuration ecosystem. Develop safe mechanisms for users to prototype, deploy, evaluate, and manage traffic rules across global edge infrastructure. Collaborate with engineering teams on application deployment, infrastructure operations, production safety, observability, progressive rollouts, and system reliability. The role involves large-scale distributed systems, configuration and state distribution, web protocols, and continuous improvement.

Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, orchestration capabilities, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue tracking, documentation, and developer environments. Apply testing, evaluation, monitoring, security, and feedback practices to non-deterministic AI systems while collaborating with developers and contributing to platform architecture and engineering processes.

Build and improve features for Cloudflare’s global edge web server, focusing on the rules engine and control plane. Design reliable, safe, highly available distributed systems, improve performance, create new systems, and collaborate with platform and product engineering teams. The role involves applying algorithms, data structures, concurrency controls, and practical computer science to large-scale web infrastructure.

Build and lead scalable software solutions that automate compliance and finance regulatory reporting. Process large datasets from Snowflake, generate accurate reports, build reconciliations, and translate stakeholder requirements into technical designs. Provide technical guidance, prioritize work, develop and review code, troubleshoot issues, and improve engineering standards. Collaborate closely with Compliance, Finance, Treasury, product managers, and other business stakeholders.

Design, provision, and operate a scalable, secure cloud data platform on AWS and Databricks using Terraform, automation (Python/Java), CI/CD, observability, and security best practices to support production analytics workloads.

Build scalable backend infrastructure and distributed systems for Palantir’s data platforms. Responsibilities include developing search and indexing systems, data processing libraries, container orchestration, APIs, observability, storage, authentication, asset serving, and automated deployment of technologies such as Cassandra, Elasticsearch, Kafka, and Kubernetes. Collaborate with technical and non-technical stakeholders while delivering reliable, secure, high-performance software.

Build scalable, performant front-end solutions using TypeScript and React across B2C and B2B products. Write testable, reliable code, contribute to technical decisions, collaborate within cross-functional squads, and drive delivery. Use authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation while validating outputs for correctness, security, and performance. Share reusable engineering practices and support responsible AI adoption.

Design, build, test, maintain, and debug reliable software features and systems. Collaborate with product managers, designers, and engineers to translate requirements into technical solutions. Participate in technical design discussions, code reviews, testing, and performance improvements while following established architecture and development standards. Work independently on defined tasks, communicate progress and trade-offs, and use AI-assisted tools responsibly to improve coding, debugging, documentation, and testing workflows.

Design, develop, troubleshoot, and maintain scalable software solutions on a Kafka platform team. Build secure Java-based Kafka consumers and producers, administer event-streaming systems, and support AWS and Kubernetes deployments. Create architecture artifacts, analyze large datasets, improve system reliability and coding practices, and use AI-assisted development tools responsibly within secure software delivery workflows.

Build and scale reliable, API-driven global payment systems integrating with banks and payment gateways. Translate requirements into maintainable, tested software; collaborate cross-functionally; resolve performance and usability issues; participate in code reviews; manage technical debt; and support operational health and high service-level availability.

Build and maintain Cloudflare’s deployment platform, enabling safe, reliable, automated releases at global scale. Responsibilities include progressive deployments, health-mediated rollouts, release workflow automation, internal instrumentation, deployment tooling, and frontend and backend development. The role requires predictable delivery on fast-moving projects and may include after-hours on-call support.

Lead the design and delivery of complex front-end features and shared foundations for Clear Street Studio. Establish architecture, testing, tooling, and code-quality standards; mentor engineers; partner with product, design, and backend teams; and ensure reliability, observability, scalability, performance, and high service-level availability across the platform.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Develop and deliver production AI/ML solutions across the full lifecycle using Agile methodologies. Translate business requirements into technical specifications, build secure production code and algorithms, create architecture artifacts, analyze large datasets, develop visualizations, troubleshoot systems, and identify improvements. The role requires expertise in machine learning, Python, Spark, distributed computing, AI frameworks, agentic workflows, and AWS services, while contributing to engineering communities and emerging technology initiatives.