Top Software Engineer Jobs in London

Seeking a fullstack software engineer to design and build AI-driven agent systems, focusing on scalable solutions and backend integration. Responsibilities include collaborating with cross-functional teams and ensuring reliability of components.

The role involves developing remote development capabilities in Kubernetes, focusing on user experience, continuous improvements, and platform security.

Design, build, and operate cloud-native backend services in Go for Neo4j Aura IAM. Develop custom Kubernetes operators/controllers, drive platform architecture, and implement secure service-to-service authentication (JWT, mTLS, SPIFFE/SPIRE). Collaborate with product, infrastructure, and security teams and produce clear technical documentation.

The job involves designing, developing and testing data warehouse microservices, troubleshooting field issues, and collaborating with product and support teams.

Join Starling as a Software Engineer to design, implement, and maintain ML-powered features, collaborating with engineers and data scientists, while delivering impactful solutions in a hybrid working environment.

As a Software Engineer II, you'll enhance the post-purchase journey by improving backend services' resilience and scalability, while collaborating with cross-functional teams to support product launches.

We are seeking a backend engineer, preferably with Golang experience, to own complex projects in ambiguous environments, focusing on AI-assisted development and stakeholder management.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

Work as an embedded QA engineer for Unity Studio performing manual and exploratory testing, owning QA processes from requirements to sign-off, writing and maintaining test cases, managing defect lifecycles, collaborating with engineers/product managers, participating in agile ceremonies, and contributing to quality process improvements.

Lead design, operation, and reliability of large language model serving infrastructure. Build backend services, deploy and lifecycle-manage LLMs on cloud and GPU clusters, implement observability, tune performance/cost, run incident response/on-call, and drive AI-assisted engineering and safe-responsible AI practices.

Lead backend platform engineer to design, build, and maintain Java/Spring Boot libraries and frameworks for asynchronous, distributed microservice ecosystems. Drive standardisation, tooling, SDLC practices, security and compliance, mentor engineers, collaborate with SDLC/infrastructure teams, and govern enterprise AI-assisted engineering practices to improve delivery, quality, and automation.

The Software Engineer will design, develop, and support the MEMX Trading system software, focusing on production support during US evening hours.

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.

Provide technical expertise to customers deploying and integrating Shield AI's Hivemind autonomy software. Develop autonomy applications, deploy AI infrastructure at customer sites, train and support customers, debug API integrations, collaborate with product/engineering, create documentation and training materials, and assist sales. Travel to customer sites (~30%).

As a Software Engineer for AI Product at Figma, you'll build collaborative tools, lead AI projects, and work cross-functionally to enhance design accessibility and usability.

Develop, implement, and support enterprise software using Java/Spring Boot and Angular. Collaborate with product and agile teams to design, code, test, review and deploy microservices and APIs, provide production support, document artifacts, and ensure scalability, performance and adherence to architecture and best practices.

As a Frontend Engineer, you'll craft user interfaces, write engineering requirement documents, build test suites, and integrate analytics for product success.

As a Backend Engineer, you will design scalable APIs, create Engineering Requirement Documents, and build test suites for product analytics and performance.

Develop and maintain Vue 3 + TypeScript web UIs for performance-critical video streaming. Build UI components, work with large data sets and REST APIs, improve performance and scalability, collaborate with product, design, and backend teams, and follow engineering best practices with mentorship and code quality focus.

As a Software Engineer, you will design and manage cloud infrastructure, enhance DevOps practices, and collaborate with teams to drive innovation in drug discovery.

Build and maintain the cloud-agnostic platform enabling enterprise deployments of Lovable across AWS, Azure, and Google Cloud. Design secure sandboxing, networking, identity, and runtime systems; work with customers and cloud providers to solve infrastructure challenges; improve internal platform tooling to accelerate feature delivery; define long-term enterprise architecture.

Design, build and operate backend services powering recipient management: scale distributed systems, design schemas, optimize queries, implement and maintain clean RESTful APIs, write testable code (TDD), collaborate with product/design/analytics, and prioritise customer-focused, production-critical reliability.

Design, develop, and maintain highly scalable Java/Spring Boot microservices for partner integrations. Lead event-driven architecture work with Kafka, optimise PostgreSQL schemas and queries, collaborate with cross-functional teams, perform code reviews, mentor junior engineers, and drive high-quality international payment solutions.

Design, develop, test, and maintain scalable backend systems for link modeling and temporospatial networking. Improve performance and parallelism across heterogeneous compute (CPU/GPU), optimize computational pipelines, and enhance reliability of distributed infrastructure. Collaborate on technical designs, lead architecture decisions, and support production system health, analysis, and visualization.