Lead Software Engineer for the PRIIP Cloud platform, owning full-stack development with TypeScript/Node.js, React, Java/Kotlin, REST APIs, event-driven architectures, AWS, Docker, and Kubernetes. The team builds a cloud-based PRIIP documentation and reporting system for regulated financial services, collaborating with compliance, quant, and product specialists. This role leads a multidisciplinary team of engineers and subject matter experts.

Lead TypeScript and Python development, CI/CD, and API-first design to embed AI into production software platforms. You will modernize legacy systems toward service-based architectures and guide integration with AI services like MCP, working across DevOps, platform engineering, and data science teams.

Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

HSBC★4.0 (16k)· London

Work with Python, Docker, Kubernetes, Flask/FastAPI, PyTorch/TensorFlow, SQL Server/Postgres, and CI/CD pipelines to build and deploy production-grade ML and GenAI services. You will join the Growth AI programme within HSBC’s Corporate & Institutional Banking Data & Analytics, developing AI applications to identify business opportunities and mitigate client attrition.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

McKesson★3.5 (7.7k)· London

Senior Data Engineer: Snowflake, dbt, Airflow, ADF, Python, Databricks, Azure, AKS, Infrastructure as Code, CI/CD. You will own and build the ClarusONE data platform, designing scalable pipelines and establishing engineering standards for reliability, security, and compliance.

Senior Data Engineer role owning the ClarusONE data platform, building pipelines with Snowflake, dbt, Airflow, ADF, Python, and managing IaC on Azure/AKS. You will establish engineering standards, ensure data lineage and governance (SOX), and collaborate with Analytics, Data Science, and Software Engineering teams.

Lead AI engineers use Python, LangChain, vector stores, and LLMOps tooling to build and operate production generative AI applications like copilots and agentic workflows. They design RAG pipelines, own end-to-end development, and integrate with enterprise data systems and APIs. This player-coach role seeds and grows the AI Engineering function within GCG technology at Capital Group, a global investment firm.

You’ll use Python, LLMs, RAG pipelines, embeddings, vector storage, and cloud-native tools to build production generative AI applications—copilots, assistants, and agentic workflows—that improve Capital Group’s investment process.

WPP Enterprise Solutions seeks a Principal Technical Architect to design AWS serverless and agentic AI platforms (Bedrock, RAG, MCP) using TypeScript/JavaScript, IaC (Terraform/CDK), and CI/CD. The role leads client engagements on scalable, production-grade commerce and agentic AI systems within the Commerce & Technology division, owning architecture, governance, and hands-on delivery.

VML★3.6 (80)· London

Lead and design agentic AI platforms and enterprise cloud applications on AWS, using serverless patterns, Bedrock, and orchestration/RAG/memory components alongside TypeScript/JavaScript, Terraform/CDK/CI/CD. The role, within VML's Commerce & Technology division, builds production-grade AWS solutions for global brand digital experiences and guides clients on Agentic Commerce standards.

Equinix★3.7 (391)· London

You will design and ship LLM-powered agents and the platform they run on using Python or TypeScript, APIs, microservices, event-driven architecture, Git, CI/CD, and cloud platforms, with tools like MCP and A2A. The Equinix Incubation team builds agentic systems that automate the software delivery lifecycle end to end—from intake and business case through code, test, release, and value tracking—with humans directing every gate.

Work with Amazon Bedrock, AWS AgentCore, Python, TypeScript, and AI orchestration tools (RAG, prompt engineering, tool/function calling). Deploy and monitor production AI/ML or GenAI workloads on AWS serverless, event-driven infrastructure with CI/CD and IaC. The company builds AI agent solutions.

You will work with JavaScript, TypeScript, and offensive security tools for penetration testing, reverse engineering, and vulnerability assessments. You join a specialist security team at a global leader in Computer Vision, AI, and biometric identity, acting as the bridge between Security and Engineering to embed security throughout web application development.

JPMorgan★3.9 (20k)· London

You will work with Java 17+, Spring/Spring Boot, REST APIs, AWS, Terraform, Infrastructure as Code, CICD, TypeScript, and React in a cloud platform engineering team that improves reliability, resilience, and observability of customer-facing digital banking services for Chase UK.

Apple★4.1 (14k)· London

Work with Kubernetes (GKE/EKS), GCP/AWS, Java, Swift, Python, or TypeScript, Nginx, Envoy, Prometheus, Docker, Terraform, Pulumi, and CI/CD pipelines. The SRE team supports Private Cloud Compute (PCC), Apple's privacy-preserving cloud intelligence platform, ensuring availability and automation of critical systems.

International Rescue Committee★4.2 (794)· London

Work with Anthropic (Claude), OpenAI, Python, and JavaScript/TypeScript to administer enterprise AI platforms, build integrations, and manage API access, configurations, and automations. You will maintain the systems, infrastructure, and pipelines that power AI tools for the International Rescue Committee’s humanitarian programs and operations.

British Council★4.1 (1.1k)· London

You will use AWS, Azure, Terraform, Ansible, Docker, Kubernetes, Azure Monitor, ELK stack, Python, Typescript, and relational/NoSQL databases. The team builds and maintains world-class digital products and services for the British Council's global platforms. As a lead, you mentor engineers

TEKsystems★3.8 (4.7k)· London

Building distributed backend services using Java, Kotlin, and TypeScript with AWS and Infrastructure as Code (AWS CDK). The team designs and operates large-scale cloud services supporting millions of customers globally.

Work with LangChain, RAG, FastAPI, React, DuckDB, GCP, Python, and production LLMs. Build agentic AI systems automating digital forensics and incident response investigations for an AI-native security company. This is a 0-to-1 founding role shipping across the full stack.

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 with the Databricks Data Intelligence Platform, Spark, PySpark, Python, Java or Scala, and major public cloud platforms (AWS, GCP, Azure). As a pre-sales engineer, you will demonstrate how Databricks' unified data and AI platform helps customers solve complex data challenges, collaborating with Account Executives and Senior Solutions Architects.

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.

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.

You will work with AWS and Amazon EKS, automating infrastructure with Terraform and building CI/CD with GitHub Actions, GitLab CI/CD, ArgoCD, and GitOps. Scripting is in Python and Bash/Shell, using Helm, Kustomize, Prometheus, Grafana, and the ELK stack. The team supports production AWS/EKS environments for a leading gaming company.