Top Backend Developer Jobs in London

Build and extend the platform layer: design shared backend services and APIs, improve reliability and correctness, collaborate with product teams to remove platform bottlenecks, mentor engineers, shape architecture and migrations, and write high-quality fullstack code with a backend focus.

Lead technical strategy and architecture for backend systems across multiple squads. Design and scale cloud-native, microservices, and database solutions (SQL), advise clients, mentor senior engineers, define technical standards, and champion pragmatic, secure, high-performance delivery while promoting knowledge sharing and engineering community development.

Build and maintain high-performance backend microservices (primarily in Go) for mapping: map-matching, ETA prediction, and routing. Migrate legacy services, optimize latency and reliability, collaborate with PMs, designers, and data scientists, and apply TDD/DDD and CI/CD practices.

Build and maintain scalable backend microservices (primarily in Go), migrate legacy systems, collaborate with product and data teams, and optimise system latency and reliability under heavy load.

Design and scale backend systems, APIs, and services for Nango’s open-source developer infrastructure platform. Build APIs, SDKs, UIs, and runtime systems, optimize performance and reliability, solve integration challenges with customers, shape the roadmap, and maintain the open-source repository. The role requires strong ownership, product thinking, developer empathy, communication, and autonomy in a remote-first startup environment.

Design, build, test, and operate scalable backend services, APIs, and microservices. Work on distributed systems, asynchronous workflows, messaging, and event-driven architectures. Troubleshoot production issues, improve reliability and observability, participate in code reviews, CI/CD, and collaborate cross-functionally from design through production.

Design, build, and maintain backend microservices and RESTful APIs; integrate with third-party vendors; ensure scalability, observability, and reliability; own technical architecture, CI/CD, and documentation; optimize databases and message-driven systems.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Build and scale backend services for a global AI-first benefits platform. Design architecture, own core services (payments, allowances, reporting), model data, improve reliability/security/observability, automate workflows, integrate third-party services, collaborate across teams, and write well-tested production code.

Develop and maintain FortiDLP server-side services, building APIs, databases, and integrations. Own features from design through delivery, write and review code and tests, ensure code quality and secure practices, collaborate cross-functionally, and support high-volume data pipelines and operational tasks as needed.

Own and build backend services that determine repeat customers' loan eligibility, pricing, and amounts. Re-architect the flex-loan repeat offer pipeline, implement end-to-end features, run split-test rollouts, monitor production, troubleshoot issues, and collaborate with product, design, and data teams. Gradually pick up front-end work to own features end-to-end.

Lead end-to-end backend projects for the Customer Operations Platform: design, build, and operate distributed services, integrate AI/ML to automate workflows, collaborate with operations stakeholders, mentor junior engineers, and migrate monolithic Django systems into smaller services to improve reliability and developer experience.

Lead design and delivery of a greenfield Trust Accounting backend: own architecture, build secure auditable services, ensure reliability and observability, set quality gates, collaborate cross-functionally, and mentor engineers.

Design, build, and operate high-traffic backend services in PHP and Go. Extract services from a monolith, design APIs (REST/GraphQL) for agentic/LLM clients, improve page speed and end-to-end performance, leverage AI coding tools, and collaborate with Product and Design to deliver reliable integrations and cloud-based systems.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

Build and operate control-plane services that manage Grafana Cloud stacks at scale. Design reconciliation systems, manage rollouts, support region/cluster launches, improve incident response, collaborate cross-team, and own production behavior, runbooks, dashboards, and recovery procedures for stack lifecycle and configuration.

As a Backend Engineer, you will build AI-first internal tools, develop data architecture, and automate processes for the commercial team.

Develop and maintain backend services and APIs, ensure system reliability, and collaborate in a fast-paced team environment.

The role involves developing digital solutions, working in Agile environments, and collaborating in multi-disciplinary teams, focusing on Golang coding and testing.

Lead and mentor engineering teams, design and build Python microservices, ensure system resilience and scalability, and improve CI/CD processes.

Design, build and operate the ledger platform powering lending and credit card products. Architect scalable microservices, ensure transactional correctness, reconciliation and reporting, lead end-to-end projects, fix production issues, and raise engineering standards while using AI-assisted development tools.

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.

Lead a 3-5 person Product Infrastructure team to design and scale ingestion pipelines, migrate batch to real-time streaming, optimize PostgreSQL and Kubernetes-based infrastructure on AWS, integrate AI/ML into data workflows, and improve observability and incident automation using ClickHouse and Grafana while aligning technical roadmaps with product stakeholders.

Build scalable, reliable backend systems and APIs for customer-facing and internal products. Implement integrations, cloud architectures, CI/CD and IaC, and ensure testable code. Own work end-to-end in cross-functional teams, driving architectural decisions, deployment and operations.