Barclays★3.9 (6.9k)· London

Build and run cloud services using Terraform or CloudFormation, GitLab, Python, and AWS/Azure/GCP, with Kubernetes orchestration. You will create a new digital platform capability transforming Barclays’ digital estate, focusing on customer identity and access management (CIAM).

Elliptic★0.0· London

You'll lead a DevOps team owning Kubernetes/EKS platforms, service meshes (Istio/Linkerd), GitOps (Flux/ArgoCD), Terraform, Vault, OPA, and CI/CD security tooling. The company provides blockchain analytics to trace and disrupt illicit cryptocurrency laundering. The role is a hands-on team lead setting infrastructure, automation, and reliability direction.

Work with Google Cloud, Kubernetes, serverless, Terraform, Node.js (TypeScript), and CI/CD pipelines. You'll join the Platform Engineering team at Freetrade, an investing platform, to treat the platform itself as a product—building the foundational infrastructure, observability, and security that Freetrade's own engineers rely on to ship.

Deliveroo★3.3 (1.5k)· London

Build production infrastructure for Generative AI at Deliveroo and DoorDash, leading design and architecture for real-time GPU serving, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) of open-weight LLMs and VLMs. Own the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution, while mentoring engineers and setting technical direction for a small, high-leverage centralized GenAI platform team.

You will work with AWS, Kubernetes, Terraform, and observability tooling like Datadog to handle platform requests and incidents. As a member of a new Platform Support Engineering team, you will be the primary contact for engineering interactions across global clients on a 24/5 basis, owning investigations and improving tooling and processes.

Lead Cloud Engineers at Made Tech use AWS, Azure, GCP, Terraform, CloudFormation, Docker, Kubernetes, CI/CD, and languages like Python, Bash, and JavaScript. They help public sector organisations design, implement, and maintain secure, scalable cloud infrastructure. The role includes line managing and mentoring junior colleagues.

LSEG★3.7 (403)· London

Core AI Engineer role at LSEG building enterprise-grade AI products using Python, LLMs, GenAI, agent frameworks, RAG architectures, vector databases, APIs, microservices, and cloud-native development (Azure preferred). The AI & Automation team transforms LSEG operations through AI, automation, and intelligent engineering, delivering scalable AI solutions. Requires designing architectures, MLOps, CI/CD, and technical leadership across AI initiatives.

Segen★3.6 (14)· London

As Senior Platform Engineer, you'll work with Microsoft Azure (Hub and Spoke networking), Azure DevOps YAML pipelines, and IaC via Bicep or Terraform, alongside TDD, CI/CD, and DevSecOps practices. You'll build secure, scalable infrastructure for Segen, the UK's largest solar PV, energy storage, and EV-charging distributor, while mentoring junior engineers.

You will work with AWS (serverless, Bedrock), TypeScript/JavaScript, Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD, and API design. The Commerce & Technology division designs and builds cloud applications for global brands, specializing in agentic AI platforms and emerging Agentic Commerce standards.

Wiz Soluções★4.2 (112)· London

You will work with AWS, Azure, or GCP, Kubernetes (EKS/GKE/AKS), Terraform, CloudFormation, Helm, Pulumi, and Python, Go, Shell, HCL, or Rego. You will lead threat modeling and security reviews to secure Wiz’s cloud and AI security platform, building automation and policy-as-code for its CI/CD and production infrastructure.

You'll apply SRE discipline to AI platforms, building and operating Kubernetes infrastructure with Terraform, managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD), using Python, and working with observability stacks like Datadog and Prometheus. You'll define SLOs, handle on-call and incidents, and partner with teams like the Inference Control Plane and Evals/Observability. The role is with CreateFuture, an AI-native consulting partner serving clients such as PayPal and adidas.

PlayStation★3.8 (164)· London

You'll use Python, Jenkins/Groovy CI/CD, Linux/Windows environments, and test frameworks like pytest/GTest. The role strengthens quality engineering across SDK teams, building confidence in the quality, reliability, and delivery of SDK solutions on multiple platforms. No team size is specified.

You’ll build and operate Kubernetes infrastructure for AI workloads using Terraform, Python, and AWS/GCP, plus CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD) and observability stacks (Datadog, Prometheus, Grafana). The role applies SRE discipline—SLOs, incident response, on-call—to AI platforms at CreateFuture, an AI-native consulting firm building digital products for clients.

You will work with AWS, Kubernetes (EKS/GKE/AKS), Terraform, CloudFormation, Helm, Pulumi, Python, Go, Shell, HCL, and Rego to build security tooling and automation. Wiz provides a cloud security platform that secures cloud and AI applications by connecting code, cloud, and runtime, protecting infrastructure for over 65% of the Fortune 100.

You will work with C#, .NET, Azure, GitHub Actions, Octopus Deploy, CI/CD pipelines, front-end frameworks, and observability tools like Azure Monitor, Datadog, or Grafana. As part of a cross-functional digital product team at Canada Life, you will build and run product features across the full stack, living a "you build it, you run it" philosophy.

Lead Platform Engineering for Volta's GPU infrastructure platform, working with KVM, QEMU, Ceph, SPDK, BGP, VXLAN, Kubernetes operators, Go, Python, and Rust. You will manage EMEA teams of 20+ people, own delivery against the roadmap, and act as deputy to the VP. The role covers architecture, reliability, and the boundary between platform software and hardware.

You will work with Python, Go, Rust, Kubernetes (cluster ops, CNI, scheduling), GPU infrastructure, networking (L2/L3, VLANs, overlays), and service architecture. Volta builds a Kubernetes-native GPU compute platform delivering VMs, storage, and networking for AI workloads. You will lead one of the platform engineering capability teams.

Platform engineers design and implement Kubernetes operators and controllers using Python, Go, and Rust. They build and operate large-scale GPU compute infrastructure for AI workloads, spanning compute, networking, storage, and control plane services. Individual teams own different parts of the stack, from managed bare metal through to higher-order platform services.