Top Software Engineer Jobs in London

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.

Design, build, test, and maintain scalable full-stack web applications and integrations using Java, Python, and React. Implement AI-enabled features, event-driven data pipelines, and marketing integrations (CDP/CRM/CMS). Improve code quality via AI-assisted tools, CI/CD, observability, and security/compliance best practices while collaborating with product, marketing, and partners.

Lead design, development, and delivery of risk, pricing, trade capture, and commodities operations software. Collaborate with trading, quant, sales, and middle office to produce secure, high-quality production code, provide technical guidance, and drive product and architecture decisions. Promote cross-team collaboration, firmwide engineering practices, and mentor engineers to deliver scalable solutions.

Design, build, test, deploy, and operate secure, reliable, scalable software and services. Partner with customers and stakeholders to translate business needs into technical solutions, lead technical workstreams, and deliver production-ready outcomes. Apply engineering best practices including code reviews, testing, CI/CD, observability, documentation, and security compliance. Develop reusable components, prototype rapidly, incorporate feedback, and collaborate with data science, product, design, and security teams. The role may involve AI and LLM-based solutions and travel up to 25%.

Design, implement, and operate Cloudflare’s S3-compatible R2 API gateway at global scale. Responsibilities include authentication, authorization, routing, rate limiting, error handling, distributed systems development, reliability and observability improvements, deployment, monitoring, incident response, and cross-team coordination. The role also involves on-call participation, postmortems, compatibility with the S3 API, and extensive use of AI tools for development and operations.

Designs, develops, tests, operates, and supports secure, reliable software solutions. Responsibilities include translating requirements into technical designs, building full-stack or cloud software, reviewing AI-assisted code, creating automated tests, participating in code and design reviews, documenting systems, and improving engineering practices. Specialisms include backend, frontend, full-stack, DevOps, and cloud engineering, using technologies such as Python, JavaScript, AWS, Terraform, and Kubernetes.

Develop and deliver full lifecycle software solutions across front-end, back-end, and integrations. Responsibilities include coding, solution design, workflow planning, process optimization, quality assurance, customer requirement implementation, and team collaboration. The role may involve mentoring and team leadership, requires experience with .NET or similar technologies, and includes travel to UK client sites when needed under a hybrid working model.

Leads software engineering for an AI/ML data platform, designing, developing, testing, troubleshooting, and operating secure, scalable Python applications in containerized cloud-native environments. Partners with product and data teams, promotes responsible AI-assisted development, automates recurring remediation, evaluates technology solutions, and mentors junior engineers.

Lead technical direction and hands-on development for full-stack products across C#/.NET, Node/TypeScript, React, and PostgreSQL. Own architecture, delivery planning, code quality, backend design, and feature delivery while collaborating with Product, Design, and QA. Mentor engineers, facilitate Agile ceremonies, review code, document processes, and promote AI-assisted development and engineering best practices.

Build and maintain software, services, data pipelines, and model integrations for AI safety evaluations, red teaming, mitigation experiments, and scientific AI research. Translate researcher needs into reliable tools, preserve reproducible experiment records, and own systems from prototyping through deployment, testing, monitoring, documentation, and improvement. Collaborate with AI and software engineering teams on shared infrastructure.

Build browser infrastructure and web access systems for an agentic search engine operating at internet scale. Research browser communication, fingerprinting, client verification, networking, JavaScript execution, and modern web technologies. Develop browser instrumentation, debugging, observability, and experimentation tooling, then translate technical research into reliable production systems.

Design, implement, and operate low-latency, high-throughput runtime services for an agentic search engine. Build and optimize query processing, retrieval orchestration, response assembly, observability, and production reliability under strict latency budgets. Improve CPU, memory, networking, data access, throughput, and cost efficiency while collaborating with indexing, machine learning, and product teams. Support experimentation through benchmarking and controlled rollouts.

As a Software Engineer at Legora, you will build and implement features for a web platform, maintaining code quality and mentoring junior colleagues.

Leads the team building the SRE function and owns its technical vision, platform capabilities, reusable tooling, pipelines, frameworks, and developer experience. Manages senior engineering staff, drives recruitment and retention, aligns technical strategy, oversees reliability and operational excellence, partners with vendors, and contributes hands-on code. The role requires strong SRE, cloud, software architecture, DevOps, testing, reliability engineering, and people leadership experience.

Design and deliver secure, scalable cloud-native software for critical public-sector customers. Work hands-on in agile teams, shape architecture and technical direction, establish engineering standards, mentor colleagues, and solve complex customer problems. The role involves modern cloud, container, CI/CD, DevSecOps, and infrastructure-as-code practices, with a strong focus on secure production systems and technical leadership.

Develop and maintain Neo4j Aura’s sharding and composite database control plane using Go and Kubernetes. Build APIs, operators, and services that provision, scale, and operate distributed database clusters. Troubleshoot bugs, improve test pipelines, document features, participate in design discussions, and research distributed systems and database technologies. The role also involves Docker-based CI, cloud integrations, observability, and collaboration across engineering teams.

Staff Software Engineer responsible for leading the design and development of Airbnb Hosting Services products, integrations, and scalable distributed systems. The role combines hands-on backend and full-stack engineering with architectural leadership, product ownership, technical strategy, and cross-functional influence. The engineer will build products from zero to one, guide technical decisions, improve reliability and performance, and drive innovation across engineering teams.

Coordinates with software architects and senior engineers to ensure implementations follow enterprise architecture principles and best practices. Collaborates across projects and programs to manage interdependencies and resolve issues. Provides input to product and delivery managers on product roadmaps and high-level estimates while solving complex business problems in an innovative, collaborative environment.

Design, build, and operate high-performance platform services for SailPoint’s Identity Security Cloud. Develop Golang microservices, Angular and TypeScript features, automated tests, and AWS-based distributed architectures. Collaborate with data scientists on AI-driven capabilities, optimize low-latency services and databases, improve CI/CD pipelines, participate in a 24x7 on-call rotation, and contribute to technical design, mentoring, and platform strategy.

Lead backend engineering for Wise’s Consumer Onboarding team. Shape technical and product strategy, deliver scalable customer-facing systems, own service health, drive high-impact projects end to end, and mentor engineers. Collaborate with product managers, designers, data analysts, and other senior engineers to improve onboarding experiences, system performance, maintainability, and scalability.

Build and operate backend services, internal developer platforms, CI/CD systems, testing capabilities, and developer tooling using Python. Improve developer productivity and experience through scalable paved paths, cloud-native systems, distributed architectures, and AI-native development workflows. Partner with engineering teams to identify friction, measure platform effectiveness, and enable autonomous software delivery.

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.

Build and maintain high-performance, low-latency backend systems and a fraud detection engine for Wise’s acquiring products. The role involves designing distributed systems and microservices, collaborating with Product, Data Science, Fraud Prevention, and operations teams, and owning features end to end. The engineer will use Java and technologies such as Kafka, RabbitMQ, and SQL to deliver scalable, reliable services. Responsibilities also include balancing customer experience, fraud prevention, risk, and cost, with opportunities for mentorship and data pipeline development.

Design and lead scalable consumer onboarding systems supporting high traffic, rapid market growth, and reliable customer experiences. Define technical architecture, contracts, and integration points across teams including Marketing, FinCrime, and KYC. Own core systems, improve performance and cost efficiency, establish technical strategy, mentor engineers, and collaborate with technical and non-technical stakeholders.

Design, build, secure, and operate production-ready cloud and AI systems for strategic customers. Translate business needs into scalable architectures, deliver through modern engineering practices, and ensure reliability, performance, and maintainability. Collaborate with customer engineering teams and cross-functional partners, lead complex delivery workstreams, create reusable accelerators, and mentor engineers while driving customer adoption and measurable outcomes.