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.

You will build and operate a Kubernetes platform on Azure using Terraform, GitOps, service mesh, and observability tools like Grafana and OpenTelemetry. The platform underpins AI and automation services for a large-scale enterprise, supporting multiple engineering teams. This is a hands-on role covering infrastructure as code, CI/CD, networking, and platform reliability.

You will work with AWS, Kubernetes, Python, Go or Node.js, CI/CD tools, and OpenTelemetry or Datadog. The role involves platform engineering and DevOps, focusing on cloud-native architectures, automation, and observability.

The Infrastructure Reliability Engineering Lead will lead a team of specialist engineers, implementing reliability engineering practices across infrastructure platforms for LME industrial metals trading and clearing services. The role focuses on observability, resilience engineering, automation, operational readiness, and service reliability improvement.

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

Dynatrace★4.2 (100)· London

You will evangelize Dynatrace's telemetry pipeline using Bindplane, OpenTelemetry, Fluentd, Logstash, Fluent Bit, event-streaming (Kafka, Kinesis, Pub/Sub) and cloud-native ecosystems (AWS, Azure, GCP, Kubernetes). The role drives adoption of Dynatrace's AI-powered observability and security platform, advising on data routing and analytics. You will partner with Global Sales and Customer Success teams in a specialist pre-sales capacity.

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.

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.

Lightning AI seeks AI Platform Support Engineers to support ML engineers running large-scale training and inference workloads on Kubernetes and GPU platforms. You'll diagnose distributed PyTorch failures, GPU orchestration issues, and infrastructure problems using tools like Prometheus and Grafana, while partnering with customer engineering teams on production reliability. Required: strong systems troubleshooting, Kubernetes experience, Linux expertise, hands-on ML infrastructure operations with PyTorch and CUDA, and excellent communication with technical customers.

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 Dynatrace (OneAgent, ActiveGates, PurePath, Smartscape), AWS, Kubernetes, Docker, Java, Angular, Python, Shell, and OpenTelemetry. Lead design and optimization of application performance monitoring for enterprise systems in cloud and microservices architectures.

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.

Work with Azure (AKS, ACR, App Service, Functions, VNets, APIM, Front Door, Key Vault), Terraform/Bicep, GitHub Actions/Azure DevOps, Docker, and observability tools. Build and operate Azure-based CI/CD platform across multiple products for IP Development.

IG Group★2.7 (13)· London

You will work with Honeycomb, OpenTelemetry, Java, Python, C++, and Terraform. You will build and maintain the observability platform for IG Group’s globally distributed microservices trading systems. This individual contributor role is part of the Observability team within SRE and Platform Engineering.

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.

This DevOps and Automation Engineer contract works with Terraform, Ansible, Azure DevOps, GitHub, OctopusDeploy, Kubernetes, OpenTelemetry, Datadog, Grafana, Prometheus, low-code platforms like Power Automate, UiPath, MSSQL, Windows, and RedHat. You will deliver the DevOps and Automation roadmap for a specialty insurer, focusing on "Everything Ephemeral," Agentic AI, and ephemeral environments. The role reports to the DevOps and Automation Manager, interacting with IT Delivery Managers.

Elliptic★0.0· London

Work with Kubernetes, CNCF tools (Istio, Linkerd, Cluster API, Kyverno, Flux, Flagger, Crossplane, OPA), Terraform, GitOps, and observability platforms like DataDog. The team builds and evolves the internal developer platform and infrastructure for Elliptic’s blockchain intelligence product that traces illicit crypto transactions. You will lead a team of DevOps engineers.

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.