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.

Koinly★3.0 (1)· London

You will work with TypeScript on Bun, RabbitMQ, Redis, PostgreSQL, Vitest, Sentry, and Rust. The team owns the distributed data-processing backend that ingests, normalizes, and reconciles on-chain and exchange data for Koinly’s crypto tax calculation product.

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.

You'll build backend runtimes, distributed systems, and orchestration services using Kubernetes, Postgres, Redis/Valkey, and object storage. Your work powers AI product runtimes that coordinate long-running agent workloads, execute code securely, and manage state across distributed environments.

Atos★3.5 (3.2k)· London

You will work with **Java, Spring Boot, React JS, AWS Cloud, Microservices, Mulesoft (Anypoint Studio, API Manager), CI/CD, Git, and Jest**. The team supports, enhances, and modernizes complex enterprise applications as part of large-scale digital transformation and cloud migration programs at Atos, a global digital services provider.

You will work with Java, Spring Boot, React JS, JSF UI, AWS, Microservices, Mulesoft (Anypoint Studio, API Manager), CI/CD, Git and Jest. The team supports, enhances and modernizes complex enterprise applications and large-scale digital transformation initiatives for the company's global clients.

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.

Amazon★3.5 (56k)· London

You will architect and build a real-time middleware and runtime platform using Rust, C/C++, or Python, integrating industrial protocols like IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, and IO-Link. This platform powers the industrial control systems across AWS Data Centers, connecting industrial hardware to cloud services. As the technical lead, you will own the platform’s architecture, set multi-quarter strategy, and mentor junior and mid-level SDEs.

You will own the C++17+ systems that ingest, process, and store high-rate sensor data from metal 3D printers, serving physics-informed ML inference and 3D insights in production. The work involves Python bindings (via pybind11), WebSockets, CMake, 3D geometry/meshes, and on-premise deployment. Nexus is an early-stage startup building the data and software layers for additive manufacturing of safety-critical parts.

Own the build, test, and CI flows for the DX-1 accelerator’s software stack (compiler, runtime, simulator, framework integration) using Python, a systems language, containers, Linux, AWS, and metrics stores like Prometheus/Grafana or Datadog. You will manage heterogeneous CI runner fleets and scarce hardware-in-the-loop test resources for a team that includes compiler, runtime, simulator, and modelling engineers.

Netbuilder★3.0 (1)· London

Full-stack developers use Java, Spring Boot, React, TypeScript, Oracle, MySQL, Git, Jenkins, Spinnaker, Docker, and Kubernetes to build, enhance, and support scalable web applications, APIs, and enterprise platforms for NETbuilder, a digital solutions provider.

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.

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.

U.S. Bank★3.5 (12k)· London

Work with CI/CD (GitLab, Jenkins, Harness), Terraform, AWS (ECS/EKS, Lambda, S3, IAM), Docker, Kubernetes, OpenTelemetry, CloudWatch, and Python/Bash. You own the deployment, operations, and reliability of the AI‑SDLC platform as it transitions from local execution to a centralized, hosted enterprise service.

Build and manage CI/CD pipelines (GitLab/Jenkins/Harness), infrastructure as code (Terraform), and AWS cloud services (ECS/EKS, Lambda, S3) with Docker and Kubernetes for the AI‑SDLC platform. Ensure platform reliability, monitoring (OpenTelemetry, CloudWatch), and operational support, while driving the centralized, hosted enterprise service through automation and security compliance. This role is within the team at Elavon, a U.S. Bank subsidiary building tailored payment solutions.

LexisNexis Legal & Professional★3.6 (1k)· London

You will lead platform engineering teams delivering shared data and agentic platform capabilities (ingestion, integration, canonical APIs, agent workflows, orchestration) with production-grade reliability, observability, security, and AI guardrails at LexisNexis Legal & Professional. You oversee the organization building and operating scalable internal platforms—data services and AI-workflow infrastructure—consumed by multiple product domains. The role manages engineering teams of unspecified size.

RELX Group★3.8 (133)· London

Lead engineering for shared data platform and agentic platform capabilities, including ingestion, integration, metadata, lineage, APIs, security controls, and AI workflow orchestration with production-grade monitoring. The team builds and operates platform services that enable trusted data and AI-driven workflows for LexisNexis Intellectual Property Solutions.

Nebius★0.0· London

Work with Golang and Kubernetes to build Nebius Serverless AI, a GPU-native platform for deploying inference endpoints, batch jobs, and AI workloads. Own core components including the control plane, scheduler, runtime, autoscaler, and customer-facing APIs.

Bloomberg★3.8 (1.1k)· London

Work with C++, Python, and Linux/Unix on the Ticker Plant team, which builds a real-time market data system processing billions of financial events daily. The SRE team focuses on the system’s correctness, performance, and availability through code, design, and analysis.

You will work with Go, TypeScript, Solidity, backend technologies, and distributed systems. You will design and build platform services for the Chainlink Runtime Environment, a foundational platform enabling resilient workflow execution for Chainlink’s oracle infrastructure that powers decentralized finance and institutional blockchain use cases.

You’ll work in Rust, C, or C++ on the Agave client’s block-production pipeline, designing shared-memory systems and optimizing scheduling, verification, and throughput for the Solana network at a Solana R&D lab.

Amazon★3.5 (56k)· London

You will work with Rust, C/C++, Python, industrial protocols (IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, IO-Link), and real-time middleware like DDS/Zenoh

You will work with C, Rust, bare metal, RTOS, embedded Linux, secure boot, root of trust, and cryptographic mechanisms. Fractile builds chips and systems that radically accelerate AI inference, aiming for thousands of tokens per second. The team secures the control chain across devices, boards, chassis, and racks.

JPMorgan★3.9 (20k)· London

You will work with Python, TypeScript/React, SQL, and event-driven streaming platforms, using enterprise AI-assisted development tools. The ATRS Tools team builds engineering productivity and operational tooling for a strategic platform used by thousands of engineers and middle-office users daily.