Top Backend Developer Jobs in London

Design and build scalable pricing services end-to-end, contribute to architecture and code reviews, improve reliability and observability, lead incident resolution, shape technical roadmaps, collaborate with product and compliance teams, and mentor engineers. The role focuses on pricing infrastructure for personal and business financial products in a global, distributed environment.

Build backend services and web features for Navan’s expense platform using Java, Spring Boot, TypeScript, and Python. Develop APIs, event-driven financial workflows, LLM-backed agents, document extraction, and conversational expense experiences. Improve accuracy, latency, cost, observability, and safety while maintaining idempotency, auditability, permissions, and production quality. Collaborate with Product and Design, contribute to AI evaluation, and mentor teammates.

Design and build scalable backend systems for corporate expense, payments, commerce, ledgers, policy management, and accounting integrations. Own features end to end, improve reliability and performance, support production systems, collaborate cross-functionally, and promote engineering best practices in testing, monitoring, documentation, and code quality.

Lead and mentor backend-focused software engineers while owning the technical strategy, architecture, and delivery of Wise’s referral and recommendation platform. Partner with Product, Marketing, Design, Analytics, and other engineering teams to build scalable, resilient, customer-facing systems and flexible incentive campaigns. Support hiring, team development, roadmap planning, technical quality, on-call operations, and continuous improvement.

Build scalable backend infrastructure for Wise’s centralized risk platform, supporting identity verification, fraud detection, compliance, and product eligibility across global markets. The role involves designing high-throughput services, developing foundational tooling, prototyping and refining solutions, collaborating with platform and product teams, and contributing to technical design and data-driven decisions.

Develop secure, scalable backend and data solutions using Java, Python, Spring Boot, Databricks, Kafka, and cloud technologies. Responsibilities include designing microservices and event-driven architectures, integrating SQL and NoSQL databases, building data workflows, writing automated tests, reviewing code, troubleshooting production systems, and improving operational stability through automation. The role also contributes to agile practices, AI-assisted development, communities of practice, and enterprise software engineering standards.

Lead backend engineering efforts to design, build, operate and secure cloud-native microservices. Deliver reliable, tested, scalable systems, manage stakeholders, coach engineers, support production incidents, and drive adoption of approved AI-assisted development practices.

Design, build, test, deploy, and operate mission-critical backend systems across the capital markets trade lifecycle. Translate business problems into measurable software outcomes, collaborate with product managers and stakeholders, and contribute to AI-enabled features. Own production reliability, monitoring, incident response, and quality while mentoring engineers and establishing technical standards. Work primarily with Kotlin, Spring, Postgres, Elasticsearch, Kafka, Kubernetes, and AWS in autonomous Kanban teams.

Owns delivery of quarterly engineering goals, leads backend engineers through ambiguous problems, collaborates across product and engineering, improves system reliability and quality, supports production operations and on-call efforts, and develops team talent. Builds highly available distributed payment systems for international markets using scalable architectures, strong testing, monitoring, and operational practices.

Develop and maintain secure, reliable backend services for GitLab repository workflows using Ruby and GraphQL. Responsibilities include designing APIs and data models, optimizing SQL queries and performance, implementing caching and rate limiting, testing, troubleshooting, monitoring production systems, participating in Tier 2 on-call, improving observability, and collaborating asynchronously across engineering and product teams.

Build scalable backend systems, data pipelines, APIs, and services for Zscaler’s Threat Intelligence team. Process and index large volumes of threat data, improve performance and engineering practices, and collaborate with malware reverse engineering teams to enhance threat detection. The role requires Python, PostgreSQL, Redis, distributed systems, REST APIs, SQL optimization, and backend database expertise, with preferred experience in AI/LLM workflows, malware automation, Django, Kubernetes, and search engines.

Design, build, and operate production Go microservices on AWS for Chip’s resilience and application security platforms. The role owns service architecture, APIs, data models, observability, release strategy, testing, and incident response. It includes mentoring engineers, setting Go engineering standards, collaborating with security, risk, and product stakeholders, and presenting technical work. Experience with distributed systems, PostgreSQL, event-driven architecture, cloud infrastructure, and AI-assisted development is required.

Own and improve backend systems that move money, including Stripe subscriptions and billing, card processing, store and gift cards, member notifications, reporting data, and the USA site. In the first 90 days, document system operations, ship a CEO-prioritized change, and automate a manual finance, support, or collections process. The role emphasizes ownership, testing, measurable customer impact, and reducing cancellations, bad debt, and manual work.

Build and operate distributed, event-driven C# and .NET microservices on Azure and Kubernetes. Own services throughout their lifecycle, including design, deployment, observability, production support, on-call operations, and continuous improvement. Collaborate with distributed teams across time zones while using AI tools for design, coding, testing, reviews, incident investigation, and technical communication.

Design, build, and operate distributed backend systems for ingesting, storing, querying, and processing high-frequency hardware telemetry and multimodal data. Responsibilities include storage and indexing design, scalability, fault tolerance, performance optimization, reliability improvements, and production operations. The role collaborates across product and infrastructure teams, influences architecture, mentors engineers, and owns systems end to end.

Build and maintain secure, performant backend services for GitLab’s Change Record team using Ruby on Rails and GraphQL. Develop APIs, data models, business logic, tests, and user-facing workflows while improving reliability through performance tuning, caching, observability, rate limiting, and resiliency. Collaborate across teams, support production systems through Tier 2 on-call, troubleshoot incidents, and use AI coding agents responsibly.

Designs and develops scalable Python backend services, REST APIs, microservices, and AWS cloud applications supporting genomic healthcare and research. Responsibilities include database integration, identity and access management, test automation, troubleshooting, feature ownership, and collaboration with frontend, QA, platform, and external teams. The role also involves maintaining reliable infrastructure, contributing to technical specifications, and mentoring junior engineers.

Design, develop, and maintain scalable backend services and REST APIs for Wise’s Payin Platform. Build payment orchestration and card pay-in systems handling high-volume financial transactions, using AWS, PostgreSQL, Kafka, and event-driven architectures. Optimize performance, implement automated tests, participate in on-call support, conduct code reviews, and ensure secure handling of financial data while collaborating across product and engineering teams.

Lead the architecture and development of Spotify’s large-scale policy enforcement platform. Design APIs, schemas, event-driven pipelines, rule engines, workflow orchestration, and auditable data systems supporting content moderation and regulatory compliance. Establish integration standards, guide migrations, influence platform architecture, make complex contract decisions, and mentor engineers. The role partners with product, legal, licensing, trust and safety, and public affairs teams across global content systems.

The Software Engineer will develop AI-based capabilities, maintain software stacks, mentor others, and tackle engineering challenges across various technical fields.

Build, test, operate, and maintain scalable backend services, APIs, and microservices. Collaborate with product managers, architects, data engineers, and cross-functional teams to deliver secure cloud-native solutions. Develop integrations, work with databases, caching, messaging, and distributed systems, and troubleshoot production issues. Contribute to monitoring, observability, performance optimization, code reviews, CI/CD, automation, Agile delivery, and continuous engineering improvement.

Design, build, and operate scalable backend systems, APIs, microservices, and distributed services. Lead technical implementations, improve performance, reliability, security, observability, and operational excellence, and collaborate with product, architecture, data, and engineering teams. Contribute to cloud-native and event-driven architectures, production support, incident management, technical reviews, automation, and continuous improvement. Mentor engineers through code reviews and technical guidance while delivering secure, high-performing business and consumer-facing applications.

Design, develop, and operate scalable backend APIs, microservices, and distributed systems. Build cloud-native, event-driven, data-intensive applications using databases, caching, messaging, search, and observability technologies. Lead technical design, improve performance and reliability, participate in architecture reviews, support production incidents, mentor engineers, and collaborate with product, architecture, data, and engineering teams.

Build and maintain backend services and APIs for AI-powered applications. Develop inference orchestration connecting LLMs, application services, and external tools. Design streaming and asynchronous APIs, optimize performance through caching and concurrency, and implement production monitoring and alerting. Diagnose high-traffic service issues and collaborate with ML, frontend, and mobile engineers on integrations and deployment.

Develop and own backend features and services using Python and Django, including third-party integrations. Collaborate cross-functionally to build scalable products, participate in A/B testing, troubleshoot issues, and improve system quality through testing, monitoring, code reviews, and scalability practices. Senior engineers guide technical decisions, use agentic AI responsibly, support occasional JavaScript or TypeScript work, and participate in an on-call rotation.