Top Software Engineer Jobs in London

Build and scale Base360.ai: design APIs, services, and cloud-native infrastructure; implement event-driven automations, AI-powered workflows, and integrations (Airbnb, Stripe, Twilio, OpenAI). Own projects end-to-end to automate operations, improve pricing and guest experiences, and enable global scaling.

Build and operate backend and platform services for ACRA, a secure Kubernetes platform. Develop Go services, design scalable distributed systems, implement CI/CD/GitOps workflows, manage containers and secrets, improve observability and incident response, and own platform features for isolation, policy enforcement, and auditability.

Build and maintain APIs and systems for money movement, debug production issues, mentor engineers, and collaborate with stakeholders.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

Develop software for Codex focusing on enterprise solutions, building APIs, integrating with identity systems, and collaborating with teams to ensure quality.

As a Software Engineer, you will develop solutions for a cutting-edge trading system, enhance a petabyte-scale data platform, and apply engineering best practices.

Build and scale international payments infrastructure: multi-currency accounting, reconciliation, and integrations with banking rails. Launch new markets and mature production systems while collaborating with compliance, product, ops, and partners to ensure reliability and regulatory alignment.

The role involves enhancing systems for optimization in financial institutions, developing APIs, validating data, and automating processes within a collaborative engineering team.

Senior full-stack developer responsible for designing, building, testing and supporting secure, production-ready post-trade web platforms using C# .NET and Node.js, applying AI-assisted development practices while ensuring traceability, auditability and regulatory compliance.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

The Senior AI Engineer will develop AI capabilities, maintain server infrastructure, implement evaluation frameworks, promote AI practices, and collaborate with teams to enhance AI adoption.

Design and develop high-performance backend systems for trading connectivity, integrating new liquidity providers, and ensuring platform reliability and security.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

Develop machine learning models for real-world physics problems, optimize model performance, implement distributed training, and mentor less experienced colleagues.

Responsible for developing and optimizing trading systems, collaborating with quants and traders, and driving innovative trading application projects.

Own feature lifecycle in a cross-functional squad, design scalable systems, set technical standards, lead SRE/observability, mentor engineers, coordinate cross-team initiatives, and drive AI-augmented development workflows.

Lead global software projects for the Strategic Index platform, designing, developing, and testing applications. Collaborate with quant, trading, and business teams, apply Agile practices, drive adoption of AI-assisted engineering, ensure quality, and deliver production-ready solutions.

Design, develop, and maintain matching engines, FIX gateways, and low-latency trading applications using Java and C++. Implement efficient in-memory data structures, optimize networking and concurrency, troubleshoot production issues, and collaborate with trading, product, and infrastructure teams across the full software development lifecycle.

Build and maintain RegTech SaaS features by translating business requirements into technical specifications. Contribute to product roadmap, architecture, testing (TDD), and collaborate with PMs, BAs, and engineers to deliver reliable, secure, maintainable code for regulatory reporting solutions.

Build and maintain Clojure-based software to accelerate medical device regulatory approvals. Work cross-functionally to deliver high-quality safety assessments, ship features quickly, and support product growth. Remote-first, collaborative environment with occasional in-person weeks in London.

Build and operate Grafana Labs' bare-metal platform: provision storage, networking, and Kubernetes clusters; manage cluster networking, scheduling, autoscaling; maintain Crossplane compositions and Terraform modules; collaborate with application teams and participate in on-call rotation to ensure reliable, scalable platform operations.

Develop and maintain OpenTelemetry SDKs, libraries and collectors; build instrumentation patterns for C# and Python across Kubernetes and non-Kubernetes workloads; embed observability standards; scale telemetry backends and pipelines; improve incident response through better telemetry and AI-assisted engineering; support platform and application teams and participate in on-call rotation.

Design and build core on-chain and backend systems for a perpetual futures DEX, focusing on performance and simplicity. Responsibilities include implementing exchange logic and optimizing systems for efficiency.

Build scalable backend services and APIs with Java and Spring Boot on AWS. Design service interfaces and architectures, write clean testable code, implement automated/API testing and CI/CD, leverage AI tooling to improve features and workflows, and collaborate across engineering and product teams. Front-end experience with React/TypeScript/Next.js is beneficial.

Build, operate, and automate large-scale GPU/compute infrastructure for ChatGPT. Design platforms for capacity planning, scheduling, fleet health, observability, incident response, and AI-powered operational tooling to improve reliability, utilization, and developer productivity across thousands of GPUs.