9 of 9 Canary Deployment Jobs in London

fluency: AWS, Kubernetes/EKS, Terraform, CI/CD pipelines Excellent observability practices — structured logging, metrics, distributed tracing, SLOs (Datadog, Sentry) Feature flags, canary deployments, and gradual rollout patterns Track record of driving data quality, governance and compliance standards (GDPR experience a strong plus given our SmartBadge ...

help developers do so Create automated guardrails for the security and privacy of our customer data Help our developers ship features fast through canary deploys, gradual rollouts and feature flags, while keeping complexity manageable and reducing downtime Work with the business and the engineering team to define SLOs ...

Python and TypeScript services. Manage container runtimes and orchestration platforms (e.g. Docker Compose, Kubernetes, ECS, AKS, etc.). Implement image scanning, registry management and deployment strategies (blue/green, canary, rolling). Design and maintain CI/CD pipelines to build, test and deploy applications across environments. … experience inside Linux VMs (tooling, environment consistency, documentation). Provide guidance and support to engineering teams on the use of Docker, cloud services and deployment tools effectively. Champion DevOps culture, promoting automation, observability and continuous improvement. Communicate with clients through written reports, calls and presentations to explain your work ...

scale. You should have strong Platform Engineering or Developer Experience background focused on CI/CD, own and operate delivery systems, and champion canary deployments and automated rollbacks. #J-18808-Ljbffr ...

300+ engineers). Establish CI/CD, automated testing, IaC, feature flagging, canary deployments, and observability-first culture. Drive metrics for deployment frequency, lead time, MTTR, change failure rate; implement platform reliability standards (target 99.95%+ uptime, SOC 2 Type II, GDPR/data sovereignty). Champion … time streaming and graph-based modeling (Kafka, Flink) and unified analytics for operations and ML training. Transition release management from quarterly waterfall to continuous deployment with feature flags while protecting enterprise stability. Strategic & Organizational Leadership Partner with the CEO on division strategy, planning, budgeting, and investment priorities. Align technology ...

team player comfortable wearing multiple hats one day you’re optimizing inference latency, the next you’re joining customer calls to understand their deployment challenges, and the day after you’re helping with UI/UX, customer success, documentation and product ops. What You’ll Do Inference Platform Architecture … designs (LLDs) for inference infrastructure components Lead high‐level design discussions, establish architectural patterns, and drive technical decision‐making for the inference stack Model Deployment & Lifecycle Management Understand and optimize the dynamics of model deployment, version upgrades, and rollback strategies Build robust deployment pipelines for seamless model ...

cluster, multi‐region environments using Istio/Linkerd, Cluster API, and Kyverno. Build progressive delivery frameworks with Flux and Flagger for GitOps‐driven, canary, and automated releases. Implement modern provisioning with controllers like Crossplane and ACK for Kubernetes‐native cloud integration. Define and enforce Zero Trust architecture with … Kyverno, and secure supply chain configurations. Establish IaC and GitOps standards , adding automated testing to every infrastructure change. Prototype agentic infrastructure components , including deployment and observability platforms in service meshes. Design AI Gateways and Registries for traffic and event routing between microservices and autonomous agents via CNCF Gateway APIs. ...

secure, explainable, and governed to enterprise‐grade standards. You will contribute to the strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that … Define patterns to generate regulator‐ready reason codes, aligned with compliance requirements. Ensure explainability artefacts are accurate, robust, and traceable across model versions. ML Deployment & Automation (MLOps) Architect automated training, deployment, and retraining pipelines using AWS SageMaker. Set standards for model registry usage, automated approvals, and rollback orchestration. ...

ability to design and operate delivery systems at scale Hands‐on software development experience including production‐quality Go Passion for progressive delivery practices: canary deployments & automated rollbacks Familiarity with cloud‐native architectures and Kubernetes‐based platforms Passion for using AI to improve engineering velocity, quality, and developer experience … fast and safely without deep platform knowledge Own the delivery process end‐to‐end, from code merge to production Champion progressive delivery practices: canary deployments & automated rollbacks Build tooling that makes deployments observable, repeatable, and self‐service Own and evolve our Internal Developer Portal and the self‐service ...