Top Backend Developer Jobs in London

Build and scale backend systems for V7 Go, an AI agent platform handling multimodal, document-heavy workflows. Responsibilities include applying foundation models to multimodal data, supporting multi-tenant usage, developing APIs, managing infrastructure, and shipping production updates frequently. The role requires ownership of testing, planning, analysis, customer problem-solving, cloud infrastructure, queues, observability, orchestration, and generative AI capabilities.

Lead backend architecture and technical direction across multiple squads and client programmes. Design and scale distributed systems, microservices, databases, APIs, and Azure cloud-native environments while balancing cost, security, performance, and user experience. Advise client stakeholders, mentor senior engineers, establish technical standards, foster engineering communities, and promote AI adoption across the software development lifecycle.

Build and operate Spotify’s lakehouse and BigQuery platforms at scale. Develop backend services supporting Apache Iceberg, migrate pipelines, manage BigQuery capacity, create monitoring and tooling, and troubleshoot production issues across storage, Kubernetes, IAM, and processing systems. Participate in support and on-call rotations while improving reliability, cost efficiency, and user enablement across global teams.

Designs and maintains Java backend systems for MACH’s blockchain and DLT solutions. Responsibilities include developing REST APIs and microservices, integrating smart contracts, managing databases, implementing CI/CD pipelines, optimizing performance, troubleshooting issues, and collaborating with architects and cross-functional teams. The role also supports secure, scalable financial-services workflows and requires documentation of technical designs and processes.

Design, build, operate, and evaluate secure backend services in a Java-based, event-driven microservices platform for high-volume, low-latency usage-based pricing. The role requires independent technical judgment, code quality and security assessment, and effective use of AI development tools. Preferred experience includes acquisition-related team integration, complex business logic, high-throughput systems, and documenting shared system context for reliable AI-assisted development.

Design, build, and own backend systems for blockchain and staking infrastructure. Implement APIs, Ethereum data pipelines, indexers, validator integrations, and operational tooling. Lead architecture, testing, deployment, observability, mentor engineers, and drive engineering standards and AI-assisted workflows.

Own the Core Backend product for an EV charging platform. Responsibilities include executing product strategy, gathering customer and market insights, prioritizing the backlog, writing requirements, prototyping with agentic AI, defining metrics, querying logs, and partnering with design and engineering to deliver reliable integrations and backend improvements.

Own an AI-agent-driven backend engineering lifecycle for beqom’s multi-tenant data platform. Define agent-executable specifications, build agent orchestration and MCP infrastructure, and create behavioral verification, evaluation, sandboxing, and governance systems. Direct AI agents delivering ingestion, schema, snapshots, calculated fields, and export services. Assess generated solutions for scalability, performance, reliability, and security; diagnose production issues; and collaborate with product, analytics, support, and engineering teams.

Build and operate backend data infrastructure for satellite laser ranging measurements, including ingestion pipelines, high-volume time-series storage, customer APIs, and secure data delivery. The role requires production backend engineering, cloud infrastructure, containers, observability, testing, and collaboration with front-end, geodesy, and orbit determination teams.

Build and operate production backend services for payments, core banking, and rewards. Design distributed microservices, event-driven features, APIs, and data flows using Scala, Kafka, and cloud infrastructure. Own services through deployment, monitoring, troubleshooting, and continuous improvement. Collaborate with product, design, and engineering teams while contributing to architecture, testing, reliability, observability, security, and occasional frontend or infrastructure work.

Lead a full-stack engineering team while specializing in backend development. Responsibilities include writing code, mentoring and managing engineers, guiding architecture and technical strategy, coordinating project delivery, collaborating with product and design, overseeing code quality, and evaluating technologies. The role requires strong Go or comparable backend experience, system architecture skills, API integration experience, and technical leadership in a fast-paced environment.

Provides technical leadership for backend engineering teams building scalable workload security products. Designs and architects distributed services that process telemetry, render policies, implement low-latency APIs, and operate reliably in complex environments. Focus areas include scalability, performance, reliability, robustness, security, event processing, systems programming, databases, Kubernetes, and cloud APIs.

Build and own backend acquisition technology for iwoca’s German market. Responsibilities include designing Python backend systems, relational databases, data pipelines, REST APIs, HubSpot tooling, third-party integrations, lead-value and attribution systems, and production machine-learning features. The role involves shaping technical strategy, optimizing acquisition funnels, collaborating with marketing, sales, product, and data science teams, and owning projects from discovery through delivery.

Build and operate backend services and streaming data pipelines that ingest sensor, rail, and waterway data into Kpler’s commodities intelligence platform. Responsibilities include developing Python and FastAPI services, maintaining Kafka and Airflow pipelines, validating time-series data, deploying cloud services, monitoring systems, improving CI/CD, supporting customer-facing applications, and participating in on-call operations.

Build and operate backend services, APIs, data catalogs, lineage systems, and publishing platforms for Spotify’s data ecosystem. Develop batch and streaming pipelines, manage metadata and schemas, ensure data quality and reliability, and own projects from technical design through production rollout. Participate in on-call support, observability, automation, and cross-team collaboration.

Develop backend services and APIs powering AI and generative AI tools, while improving search performance, scalability, and reliability. Design data flows, integrate ML services, work with Elasticsearch and PostgreSQL, and contribute to architecture, access control, and visualization infrastructure. Lead code reviews, mentor engineers, refactor systems, document solutions, and own projects through delivery while collaborating with product, design, data science, and business teams.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Build and operate production creative agents for audio, image, and video generation. Develop backend systems for asynchronous, long-running tasks; improve agent prompts, tools, orchestration, models, MCP integrations, evaluations, monitoring, scalability, and security. Own features end to end, from prototyping and customer discovery through frontend delivery, production support, and collaboration with product, design, and engineering teams.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

Lead architecture and hands-on development of backend and API platforms supporting ecommerce, loyalty, clienteling, and customer personalization. Build scalable Node.js and TypeScript services, integrations, microservices, and event-driven systems across commerce, payments, fulfillment, CRM, analytics, and digital experience platforms. Own API governance, security, observability, DevOps automation, and cloud infrastructure while mentoring engineers and shaping technical standards and roadmaps.

Backend Software Engineers at Palantir build and maintain scalable backend services, develop APIs, optimize applications for performance, and collaborate across teams to shape user workflows.

Lead development and ownership of a high-scale Pricing API for energy transactions. Build backend services, extract pricing logic into a dedicated system, improve performance, and ensure reliability, correctness, monitoring, alerting, and explainability. Establish technical direction across teams, guide engineering standards, lead migration efforts, resolve live pricing incidents, and develop agent-driven workflows. The role requires strong Python, FastAPI, SQL, data-heavy systems, API design, and product judgment.

Own and scale a multi-tenant backend platform supporting unpredictable agent-driven workloads. Responsibilities include optimizing Postgres query performance, I/O, replication and sharding; managing Docker-based agent sandboxes; building customer network connectivity with proxies and routing; and defining platform architecture while writing production TypeScript code.

Build and optimize high-performance Elixir/Phoenix backend systems with PostgreSQL at scale. Design efficient schemas, queries, indexes, batching strategies, migrations, and concurrency patterns. Diagnose database bottlenecks, support large document volumes, and improve reliability across cloud and self-hosted deployments. Contribute to AI-assisted engineering workflows, platform architecture, tooling, and customer success while collaborating with a remote-first team.

Design, build, operate, and maintain scalable alerting backend systems. Drive features end-to-end, contribute to open-source, participate in on-call rotations, mentor teammates, and collaborate remotely to improve reliability, performance, and alert evaluation at scale.