Top Software Engineer Jobs in London

Build and own product features for Gravitee’s Agent Gateway and LLM control layer. Responsibilities include developing A2A and multi-LLM capabilities, translating customer feedback into technical plans, analyzing usage data, prototyping, shipping iterative solutions, and collaborating across product, design, and engineering teams. The role requires backend development in Java or C#, distributed systems and API expertise, authentication and authorization knowledge, and daily use of AI-assisted development tools.

Build and own end-to-end full-stack features across frontend, backend, infrastructure, deployment, and testing. Develop AI-powered scheduling, dispatch, clinical data enrichment, and referral workflows. Maintain reliable, auditable APIs and data models for regulated healthcare operations, collaborate with product and clinical teams, and contribute to architecture and infrastructure decisions. The role requires pragmatic technical judgment, comfort with ambiguity, and fluent use of AI coding tools.

Build backend services, real-time data pipelines, operator-facing React applications, and secure Azure infrastructure for distributed radar systems. The role involves processing sensor data, designing scalable and resilient services, contributing to platform architecture, and collaborating with software, hardware, systems, and field operations teams. Based in London, the engineer will regularly collaborate with the San Francisco team and travel there approximately quarterly.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Design, build, and operate reliable, scalable AI/ML platform infrastructure. Develop observability, resilience, security, and automation tooling, own NFRs, participate in on-call rotations, troubleshoot production issues, and collaborate cross-functionally to support large-scale AI deployments.

Build and maintain Ruby on Rails backend features for vulnerability management, including security dashboards, reports, and ingestion pipelines. Improve system performance, reliability, and scalability; collaborate across backend, frontend, product, design, and security teams; review code; address technical debt; and participate in on-call rotations. The role requires relational database experience, distributed-team collaboration, technical problem-solving, and contributions across the stack when needed.

Lead the design, development, and delivery of complex application systems within Citi’s XVA Technology team. Define technical solutions, resolve high-impact problems, establish coding and testing standards, assess risks, and ensure regulatory compliance. Partner with business and management teams, mentor engineers and analysts, and guide end-to-end technology project delivery. The role also involves evaluating AI-assisted development tools and implementing agentic AI capabilities safely across the engineering lifecycle.

Build and maintain resilient fintech platforms in Java within a small, collaborative team. Responsibilities include pair programming, refactoring, writing extensive automated tests, improving code design, automating repetitive tasks, and contributing to system-wide development. The role emphasizes trunk-based development, continuous integration, TDD, BDD, DDD, clean code, performance considerations, design discussions, and clear communication.

Build systems that enable AI agents to plan, execute, verify, and deploy substantial software work. Design agent harnesses, tools, permissions, environments, context and memory systems, evaluation and observability capabilities, and workflows supporting parallel autonomous workstreams. Partner with stakeholders to deliver outcomes, improve reliability, and establish trustworthy verification. Help the broader team safely use AI to ship production changes.

Designs, develops, tests, deploys, and supports front-office applications and databases. Provides expert system analysis, architecture, application performance optimization, security compliance, and production support. Collaborates with portfolio managers, product owners, and cross-functional teams; evaluates build-versus-buy options; mentors engineers; resolves escalated issues; and recommends enterprise-wide improvements. The role requires full-stack expertise across frontend frameworks, Java-based backend services, cloud platforms, databases, CI/CD, and automated testing, plus an understanding of investment products and trading workflows.

Design, develop, and maintain scalable Go microservices, APIs, and data models supporting Cloudflare’s global IP addressing infrastructure. Build distributed, fault-tolerant systems for IP assignment, traffic engineering, BGP management, and provisioning. Collaborate with reliability, network, and product engineers while debugging complex systems and learning edge networking, routers, DNS, and Linux environments.

Design, implement, and operate Cloudflare’s S3-compatible R2 API gateway across Workers and Kubernetes. Own authentication, authorization, routing, rate limiting, error handling, API compatibility, reliability, observability, and production operations. Lead projects from design through deployment, participate in on-call and incident response, improve performance, and collaborate with storage, metadata, networking, and platform teams. Use AI coding tools extensively in daily development.

Build, deploy, and operate highly scalable Network Services systems on Cloudflare’s global edge network. Develop distributed networking systems involving BGP, Linux kernel dataplanes, control planes, APIs, traffic analytics, and data pipelines. Improve system performance, reliability, and scalability while solving complex customer problems. Own solutions end to end across design, development, deployment, and operations, and collaborate across engineering and product teams.

Research, design, and develop algorithms and software systems for AI-driven CNC machining, including toolpath optimization, cutting strategies, and automated CAM workflows. Collaborate with manufacturing experts, data scientists, and software engineers to convert advanced concepts into reliable production software. The role emphasizes high-performance C++ development, computational geometry, numerical methods, optimization, and modern software engineering practices.

Develop software for CloudNC’s AI-powered CAM Assist product, collaborating with computer science and manufacturing experts to solve complex machining and toolpath-generation challenges. The role requires C++ development and experience with UI frameworks such as TypeScript, Angular, or React. Employees will receive training in factory operations and software capabilities; manufacturing experience is not required.

Design and develop clean, maintainable software for automated document-processing products. Collaborate with business stakeholders to translate requirements into product improvements, conduct code reviews, guide technical direction, mentor colleagues, and improve engineering practices. The role uses Golang, MySQL, Docker, Kubernetes, cloud infrastructure, and GitHub CI/CD while emphasizing product ownership, clean architecture, software craftsmanship, and technical communication.

Lead and contribute to building scalable, production-grade data systems for private markets. Architect end-to-end data workflows supporting analytics and AI/ML, ensure observability, testing, and operational maturity, influence technical strategy, engage senior stakeholders, and manage and mentor software engineers while partnering with product, data science, and business teams.

Build and improve developer experience for Neo4j’s Aura cloud platform. Support engineering teams with onboarding, documentation, workflows, tooling, and developer-facing services. Maintain AI agent skills and instructions, evaluate AI-assisted development workflows, and collaborate with delivery and platform teams. The role requires Golang, Kubernetes and container literacy, CI/CD and Git experience, strong technical writing, and an interest in solving developer pain points.

Design, implement, test, and optimize C++ trading algorithms and market order execution systems. Collaborate with traders, quantitative researchers, and engineers to develop innovative strategies, improve trading platform performance, and optimize resource and hardware utilization. The role requires strong analytical, problem-solving, testing, communication, and teamwork skills, along with experience deploying large-scale data processing or modeling systems on high-performance computing clusters.

Builds AI enablement infrastructure, including LLM cost observability, usage tracking, agentic coding guardrails, internal developer tooling, and AI tool evaluations. The role delivers production-quality code, automated tests, CI/CD improvements, code reviews, and end-to-end project ownership. It also establishes AI usage best practices and supports build-versus-buy decisions across infrastructure, tooling, and business processes.

Leads strategic AI and machine learning initiatives from concept through production. Designs scalable solutions connecting data, models, platforms, and systems; develops reusable engineering patterns; improves solution quality and reliability; conducts analysis supporting strategic decisions; builds stakeholder partnerships; and provides organizational leadership, mentoring, and innovation across the enterprise.

Designs, builds, and maintains Neo4j connectors across streaming, data processing, cloud data warehouse, and on-premises technologies. Develops multi-threaded systems, data ingestion APIs, and backend components, collaborates on core database features, and occasionally creates connector frontends. The role involves technologies including Kafka, Spark, Beam, Kubernetes, and cloud data platforms.

Build and operate production data pipelines using Python, SQL, Airflow, Snowflake, and Databricks. Implement ingestion sources, DAGs, schemas, monitoring, and catalog registration; investigate and resolve pipeline issues; review code; trace data lineage; support data security, governance, and reverse ETL integrations; collaborate with stakeholders; and mentor junior data engineers.

Build and own React Native features for Kraken’s consumer mobile app, from product discovery through launch, measurement, and iteration. Partner with Product and Design to create responsive, trustworthy financial experiences using dynamic or real-time data. Guide development for a new Asian-market app, including regional UX, connectivity restrictions, vendors, and telemetry. Contribute to architecture, performance, reliability, code reviews, and product engineering standards.

Owns the technical vision and roadmap for organization-wide CI/CD and release infrastructure. Identifies and remediates performance bottlenecks and supply-chain security risks, designs scalable release gates, directs engineers through complex multi-quarter projects, and leads incident response. The role requires hands-on debugging across the pipeline stack, cross-organizational influence, technical communication, mentorship, code and design reviews, and setting engineering standards.