You will build and evolve customer-facing interfaces for AI Virtual Agents using React, TypeScript, Next.js and Vite, and refactor the frontend into a scalable platform with a shared component library and design system. Unitary’s factory builds custom operations agents that complete complex workflows end-to-end in customer tools.

Koinly★3.0 (1)· London

Work with React 19, TypeScript, TanStack (Router, Query, Table), Radix UI, Mantine, Tailwind CSS v4, Vite, Vitest, Storybook, Highcharts, Sentry, Bun, and RabbitMQ on a data platform that reconciles crypto transactions and tax obligations for Koinly’s web application, with a React Native mobile app joining scope later.

Senior WordPress Developer role: build bespoke WordPress sites and apps using PHP, MySQL, ACF, WooCommerce, Gutenberg, JavaScript (ES6+), SASS/SCSS, Git, Composer, npm, Vite, CI/CD. You’ll also drive AI-assisted development (RAG, MCP, Copilot) and mentor junior developers.

You will write performance-critical software in Rust, working across backend services, APIs, and infrastructure—with frontend in React/Next.js/TypeScript when needed—for a global financial services firm. The stack includes Tokio, Azure, Kubernetes, Python, SQL, and CI/CD tooling. This is an early-career engineering role with end-to-end ownership.

American Express★4.1 (9.7k)· London

You will work with Kotlin/JVM, Java, React, Postgres, MongoDB, Redis, Docker, Kubernetes, and GitHub Actions. The Financial Insights and Tools group builds financial analysis software for American Express customers, powered by APIs and underlying platforms for web and mobile applications.

Work with Kotlin/JVM, Java, React, APIs, Postgres, MongoDB, Redis, Docker, Kubernetes, GCP GKE, AWS ECS/EKS, Ktor, Spring, and GitHub Actions. The Financial Insights and Tools group builds customer-facing web and mobile features that aggregate and analyze financial data to enhance personal finance management.

American Express★4.1 (9.7k)· London

Work with Kotlin/JVM, Java, React, Postgres, MongoDB, Redis, Docker, Kubernetes (GCP GKE, AWS ECS/EKS), GitHub Actions, Ktor, and Spring. The Financial Insights and Tools group within Digital Banking builds financial analysis and planning applications for American Express customers on web and mobile, powered by APIs.

You will build production data pipelines using dbt, Prefect, Spark on EMR, and AWS services (EventBridge, SQS, Lambda, S3, RDS). The role powers Citywire’s data platform, supporting internal and external products including industry ratings and AI systems. You will work alongside and be mentored by the platform lead.

Sony Music Entertainment★4.2 (454)· London

Lead Software Engineer for Sony Music’s PDEGO team, working with Python, JavaScript, TypeScript, React, Snowflake, MySQL, Neo4j, Kafka, OpenSearch, REST, OAuth, and AWS. You'll lead technical design and implementation of scalable distributed systems powering global B2B2C platforms for monetization, analytics, marketing, and music release.

Sony Music Entertainment★4.2 (454)· London

The Senior Software Engineer works with Python, JavaScript, TypeScript, React, and AWS, designing RESTful APIs and services with OAuth and data platforms like MySQL, Snowflake, Kafka, and OpenSearch. Within PDEGO, this team builds and evolves scalable, full-stack platforms that power Sony Music’s global business, supporting artists, songwriters, labels, and partners.

Design and develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. Build backend services with AWS Lambda, API Gateway, Step Functions, DynamoDB, and IaC tools like Terraform or AWS CDK for enterprise multi-agent workflows and production monitoring.

Work across the stack with React, TypeScript, and Node.js or Golang on privacy-focused systems and architecture that keep users' location data inaccessible. As part of Wheely's small core-engineering team, you'll collaborate with Product Managers, Designers, and Software Engineers to shape solutions from concept through production.

Work with Java/Kotlin/JVM, Postgres, MongoDB, Redis, Docker, Kubernetes, GCP GKE, AWS ECS/EKS, GitHub Actions, and frameworks like Ktor and Spring. You'll handle end-to-end delivery of green-field and brown-field software projects, collaborating with customers and product teams.

You will use LinkedIn Sales Navigator, Clay, Onfire, Crunchbase, 6sense, Salesforce, and MEDDPICC, Challenger Sales, and Command of the Message methodologies. Aiven provides a multi-cloud data platform for open-source databases, search, streaming, and application infrastructure. You will own full-cycle pipeline generation and new logo acquisition targeting Director- and VP-level technical stakeholders.

This role focuses on designing, building, and operating enterprise AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will implement RAG, tool calling, and multi-agent workflows, developing backend services with AWS Lambda, API Gateway, Step Functions, and DynamoDB. The position also involves establishing production AIOps with observability, monitoring, and CI/CD pipelines using Terraform or AWS CDK.

Capgemini★3.7 (11k)· London

Architect enterprise-scale generative AI solutions on AWS using Amazon Bedrock, RAG, agentic workflows, and cloud-native services. Define reusable patterns, implement observability, and ensure governance in regulated environments. Hands-on Python, Lambda, SageMaker, OpenSearch, and ECS/EKS.

You will develop AI agents using AWS AgentCore, Amazon Bedrock, Python, and TypeScript. You will build and operate enterprise multi-agent workflows with RAG, tool calling, serverless AWS services, and production AIOps. The role involves designing, deploying, and monitoring scalable AI architectures with CI/CD and Infrastructure as Code.

Community Fibre Limited★3.3 (55)· London

You will work with AWS, Linux (Ubuntu, Debian, CentOS, RHEL), Python, Bash, Perl, Terraform, Puppet, Ansible, CI/CD pipelines, FreeRADIUS, Palo Alto Networks, FreeIPA, iptables, and OpenSearch/Elastic Stack. Community Fibre builds and operates London’s fastest 100% full-fibre broadband network. You will maintain both cloud and on-premises infrastructure, mentor other engineers, and act as a senior escalation point.

You will work with Vue.js, Vuex, Pinia, Vite, TypeScript, and real-time data tools (WebSockets, SSE) to build high-performance trading UIs. The role is on the team that continuously improves Interactive Brokers’ critical platform for automated trade execution and custody across global markets.

Build and scale real-time pipelines, analytics infrastructure, vector databases, and data workflows for an AI assistant that automates property management operations. Work with Python, Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, vector databases (Qdrant, Milvus, pgvector), Pandas, and Polars. This is an early data hire with input into architecture decisions.

Lead Data Engineer: Python, PostgreSQL, MongoDB, Qdrant, Milvus, pgvector, Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas, Polars. Builds data pipelines and infrastructure for an AI platform serving an under-digitised industry. Joins a small, high-impact team.

Develops modern web applications using Angular, TypeScript, RxJS, and REST APIs on a cloud-native AWS platform. Works on a globally used flagship product, collaborating with product, UX, backend, and ML engineers.

Design and build production-grade GenAI applications using Python, OpenAI/Azure OpenAI, LangGraph, RAG, and vector search. Work with agentic AI, backend services, cloud platforms (Azure, AWS, GCP), Docker, and Kubernetes. The team focuses on scalable, enterprise-integrated AI systems.

Build full-stack applications with TypeScript, React, NestJS, Prisma, PostgreSQL, and AWS on the Reap Direct team, which develops client-facing web and mobile platforms for stablecoin-powered corporate cards, payments, and expense management tools.

You will work with React, Tailwind, Node.js, tRPC, PostgreSQL, and Elasticsearch to build and scale a B2B property data platform that integrates thousands of data sources. As a hands-on lead, you will provide architectural oversight across frontend, backend, and data infrastructure while mentoring senior and mid-level engineers.