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.

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.

Python (3.10+) and Go development, with JavaScript/TypeScript for frontend; using RabbitMQ, Kafka, PostgreSQL, Redis, OpenTelemetry, and Prometheus. You will build and maintain low-latency real-time data feeds and web scraping pipelines to expand access to liquidity providers for sports prediction models.

9fin★0.0· London

Build tools, services, APIs, and CLIs on AWS with Terraform. Improve CI/CD, observability (OpenTelemetry, CloudWatch, SigNoz), and development workflows for 9fin's engineering teams. You join the established Platform team to create paved roads and self-service capabilities that accelerate and simplify software delivery.

You will work with Azure (AI Foundry, AI Search, Cosmos DB, API Management, observability), Langfuse, Datadog, LiteLLM, MCP gateways, contemporary AI models, agent harnesses (Claude Code, Codex, GitHub Copilot), OpenTelemetry, LangChain, LangGraph, and Azure document-processing services. The team builds and experiments with AI agents and retrieval-augmented generation (RAG) systems at LSEG, a global financial markets infrastructure and data company. The role is at the Manager career stage.

LSEG★3.7 (402)· London

Work with Azure (AI Foundry, AI Search, Cosmos DB, APIM, observability), Langfuse, Datadog, RAG, vector databases, LiteLLM, MCP, contemporary AI models, Claude Code, Codex, GitHub Copilot, OpenTelemetry, LangChain/LangGraph, and Azure AI Document Intelligence. The role is within LSEG, a global financial markets infrastructure and data business. This is

You'll build Python-based backend services and data pipelines with Docker, Kubernetes, and Terraform, integrating enterprise systems like SAP and Oracle ERP while handling multi-terabyte datasets. Magentic develops agentic AI systems for supply chain and procurement workflows, targeting enterprise customers with end-to-end feature ownership from architecture through deployment and iteration.

Lead Cloud Engineer role: work with Terraform, Kubernetes, Amazon Bedrock, AWS, and Infrastructure as Code; architect AI-native infrastructure including Vector Databases, RAG architectures, and production-grade Agentic Workflows. The role is with an AI-native consulting partner, delivering cloud, AI, and platform engineering projects for clients such as PayPal and adidas. You will guide and mentor a team of cloud engineers.

Build and operate a Kubernetes-native cloud platform for GPU inference workloads, using Python or Go. You'll lead technical designs, own areas like request routing and adaptive scheduling, and implement optimizations such as speculative decoding and KV-cache reuse, working with Prometheus, Grafana, and OpenTelemetry.

You'll work with Java, Spring, AWS Kinesis/SQS/SNS, MongoDB, Redis, PostgreSQL, GraphQL, OpenTelemetry, Datadog, and AI tools (Claude Code, Claude MPM, in-house MCP server). The Dev Platform team owns the architecture and evolution of Duetto's core Java/Spring monolith, which processes millions of hotel rate decisions daily, driving domain decomposition and platform modernisation.

Work with AWS (EC2, EKS, Lambda, S3, IAM, VPC, CDK), Terraform, Kubernetes, Docker, LLM orchestration frameworks (LangChain, Temporal), and AIOps tools like Datadog and Prometheus. As part of Goldman Sachs’ Cloud Engineering & Architecture team, you will architect and build an enterprise-grade platform enabling secure public cloud usage across the firm. This hands-on senior leadership role involves defining technical standards, driving large-scale platform initiatives, and mentoring engineers.

Goldman Sachs★3.9 (2.3k)· London

This role works with AWS (EC2, EKS, Lambda, S3, IAM, VPC, CDK), Terraform, Docker, Kubernetes, and AI tools like LangChain, Temporal, Datadog, and Prometheus. You will design, build, and operationalize enterprise-grade cloud platform capabilities for the Cloud Engineering & Architecture team, enabling Goldman Sachs engineering teams to deploy and manage services in public cloud securely.

You will lead a team of DevOps engineers, working hands-on with Kubernetes, CNCF tools (Istio, Kyverno, Flux, Crossplane), Terraform, AWS/GCP, and GitOps to build a multi-cluster, multi-region platform. Elliptic’s infrastructure supports tracing and disrupting illicit crypto across blockchains.

JPMorgan★3.9 (20k)· London

You will work with Go, Java, or Kotlin; Kubernetes; a major cloud platform (GCP, AWS, or Azure); Infrastructure as Code; CI/CD, GitOps, and service mesh technologies. This role serves the Accelerator Business's Platform Team, building composable, secure, scalable infrastructure systems and capabilities. You will define the multi-year technical roadmap and lead architectural strategy for platform engineering.

TP ICAP★3.1 (34)· London

You will work with C#, TypeScript, React, SQL, RESTful APIs, AWS, Docker/Kubernetes, GitLab CI/CD, and microservices to design and maintain full-stack applications. The team builds scalable applications powering critical business functions within TP ICAP, a global interdealer broker providing market infrastructure and data solutions.

You'll work with Python (FastAPI), Go, TypeScript, PostgreSQL, Redis, Pinecone/pgvector, AWS (ECS, Lambda, SQS), Docker, Kubernetes, Terraform, LangChain/LlamaIndex, vLLM, and Anthropic/OpenAI APIs. You'll build and optimize RAG pipelines, real-time inference APIs, and vector search infrastructure powering LLM features for 500k+ monthly active users.

Work with Terraform, Kubernetes, Vector Databases, Retrieval-Augmented Generation (RAG), Agentic workflows, OpenTelemetry, and Infrastructure as Code. As a consulting partner for clients like PayPal and adidas, you lead cloud-to-AI platform engineering, building autonomous platforms and managing AI lifecycles. You also mentor a team of cloud engineers.

Develop next-generation risk platform using Python, REST APIs, SQL, distributed systems, data pipelines, containerization, CI/CD, cloud-native technologies (AWS, Docker, Kubernetes), FastAPI, Kafka, Airflow, Terraform, gRPC, and monitoring tools. The Risk Team builds scalable software for risk analytics and workflows used by Risk Managers, Portfolio Managers, and Quantitative Researchers at a quantitative investment manager.

Apple★4.1 (14k)· London

You'll work with Linux, Kubernetes, Go, Python, Puppet, and Spinnaker. The Observability SRE team provides central telemetry and logging for Apple’s services (iCloud, Siri, Maps). This is a small team responsible for the infrastructure that powers most customer-facing Apple services.

Barclays★3.9 (6.9k)· London

You'll work with AWS (Amazon Bedrock, agent orchestration), Python, CI/CD for models/prompts/agents, and LLMOps/AgentOps lifecycles. You'll build and run an enterprise AI Factory within Barclays' Card Merchant Services, operationalizing GenAI and ML platforms for merchant payments—spanning acquisition, risk, fraud, and servicing—with embedded governance and observability.

You will work on Kubernetes at scale (Cluster API, bare metal provisioning), an on-prem observability stack (Mimir, Loki, Tempo, Grafana, OpenTelemetry), GitLab CI/CD, ArgoCD, Artifactory, Terraform, Ansible, and Go/Python. You join a small, high-impact team that built and owns the platform powering DV Trading's proprietary trading systems.

You will work with Kubernetes, Docker, Terraform, Argo CD, GitOps, GitHub Actions, Helm, Kustomize, and CNCF tools, writing code in Go, Python, TypeScript, or JavaScript. You will build internal platform capabilities—tooling, automation, workflows, and golden paths—that enable engineering teams to develop, deploy, and operate ACRA, Valarian’s platform for secure enclaves protecting critical data.

Work with Ruby, Rails, JavaScript, Python, AWS (EC2, S3, Route53), Docker, Kubernetes, OpenTelemetry, Grafana, Kibana, Jenkins, Ansible, Terraform, and CI/CD tools. You will own and improve the CI/CD stack and development tools to boost code development and build processes for the engineering team at Sensor Tower, a digital intelligence platform.

Design and build cloud security solutions using Python, Go, or TypeScript across Azure, AWS, GCP, and Kubernetes environments. Use infrastructure-as-code tools like ARM, CloudFormation, and Terraform; implement SRE practices; and optimize CI/CD pipelines to enhance RBC's cloud security posture.

Senior UI Platform Engineer role at Jain Global using React, TypeScript, Vite, Next.js, Ant Design, AG Grid, Datadog, OpenTelemetry, Grafana, Microsoft Entra ID/Azure AD, and npm packages. The Core Platform team builds reusable frontend foundations—shared UI packages, application scaffolding, authentication/authorization integration, developer tooling, and internal platform applications (onboarding, access, service discovery).