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.

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.

Deutsche Bank★3.8 (3.5k)· London

You will work with Splunk (Indexers, Search Heads, Deployment Servers, Cluster Masters), Linux/Unix, containers, and monitoring tools like ITSI, AppDynamics, Prometheus, and Grafana. This PaaS team builds self-service shared platforms that host over 50% of Deutsche Bank’s application workloads.

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.

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 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.

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.

Build core backend services for DDN’s Infinia AI Data Platform, working with Go, C++, Java, or Python, REST/gRPC APIs, Kubernetes, and microservices in hybrid OnPrem/cloud environments. You will design scalable distributed systems for control-plane orchestration, lifecycle management, and policy enforcement at petabyte scale. This hands-on technical leadership role contributes to API governance, observability, and security across the platform.

You'll work with AWS, GCP, SIEM, EDR, DLP, MDM, Python, Go, and TypeScript. Risk Ledger builds a network for supply-chain organisations to share security maturity and visualise risks. You'll mature security operations, detection, incident response, and cloud security across cloud, endpoint, and SaaS environments.

Work with PyTorch, TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL to train, optimise and deploy deep learning models for autonomous driving. You will own end-to-end delivery of model releases, applying techniques like quantisation and distillation to meet tight on-vehicle runtime constraints.

Optimize ML inference for edge accelerators and GPUs using TensorRT, CUDA, Qualcomm QNN, Triton, MLIR, and ONNX. The team deploys large transformer-based models on low-cost, low-power edge devices for Wayve's first driving product. You'll work across compilers, runtimes, and kernels with Python and C++.

Work with Python, Jenkins/Groovy, pytest, GTest, and CI/CD pipelines to build automation, tooling, and test frameworks for SDK teams across Linux and Windows environments. You'll develop quality engineering practices—automated tests, diagnostics, reporting, and developer feedback loops—to improve the reliability and delivery of SDK solutions. The role spans SDK teams in London, Bristol, and Dublin.

You will work with Java, Swift, C, Go, Python, and Kubernetes to design and operate highly scalable distributed systems. The team builds Apple’s foundational privacy-focused platform for iCloud, including Advanced Data Protection and Private Cloud Compute, supporting over a billion users.

Blockchain★3.4 (14)· London

Lead a small engineering team building crypto savings and crypto-backed lending products at Blockchain, using Kotlin or Java, Kafka, PostgreSQL, and Redis. You will define technical architecture, design distributed systems, and drive best practices in a hands-on role.

You'll work with TypeScript/Node.js, React, Java/Kotlin, REST APIs, event-driven architectures, AWS, Docker, Kubernetes, Kafka, Keycloak, and observability tooling. You'll lead the PRIIP Cloud platform, WallStreetdocs' cloud-based documentation and reporting system for structured products and derivatives in regulated financial services. No team size is specified.

Senior Software Engineer (L5) contract role on Prime Video Edge Control team. Work with Java, Kotlin, TypeScript, AWS (EC2, NLB, ElastiCache, Lambda, DynamoDB), and AWS CDK to build and operate scalable services for client configuration, push notifications, observability, and a remote AI MCP platform.

Build backend systems with Kotlin or Java, Kafka, PostgreSQL, Redis, and microservices for a crypto savings and crypto-backed lending platform. This hands-on technical lead defines architecture, remains close to the code, and leads a small team of engineers.

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.

Work with Java (including JDK migration), Kotlin, Python, Kubernetes, ArgoCD, OpenTelemetry, and modern CI/CD pipelines to develop and maintain distributed services for ingesting and processing financial market reference data. You will modernize critical production systems, including a large-scale Java/JDK upgrade programme and improvements to platform reliability and cloud-native infrastructure.

Work with Kubernetes, Docker, Java, Python, Go, JavaScript, Terraform, Ansible, CI/CD, and LLM/AI tooling. You’ll build and operate scalable services for UK government national-security data platforms, own production reliability, and deploy products into air-gapped estates via an in-house continuous-delivery engine.

You will work with Java, TypeScript, Python, Go, React, Angular, AWS, Kubernetes, Docker, Elasticsearch, MongoDB, and CI/CD/GitOps/IaC tools. You will join two sister teams building mission-focused, business-critical digital systems for UK public-sector clients. This role requires active SC clearance and eligibility to obtain DV clearance, and working on site 4 days per week.

You will conduct vulnerability research, reverse engineering, and exploit development using tools like IDA Pro, Ghidra, and Binary Ninja, working with C, C++, Assembly, or Rust. The team performs advanced cyber research on platforms, operating systems, and embedded systems to develop proof-of-concept exploits and bespoke tooling.