101 to 108 of 108 Amazon ECS Jobs in London

security, in B2B SaaS start-ups or high-growth scale-ups • Strong technical grounding across Node.js, Typescript, React, MySQL and cloud-native architectures (AWS, ECS/K8s, Kafka, Airflow) • Comfortable driving Agile and DevOps culture, and setting high standards for clean, testable, secure code in fast-moving environments ...

modules, registries, drift detection), enabling composable, reviewed changes across environments. Run scalable compute: Stand up and operate container platforms — Kubernetes (incl. EKS, AKS, GKE), ECS, and Azure Container Instances (ACI) — including cluster lifecycle, node pools, autoscaling, ingress, service mesh, secrets, and backup/restore. Observability : Instrument services and infra … artefact management). Containers & orchestration: Kubernetes administration knowledge (controllers, scheduling, ingress, autoscaling, troubleshooting) and experience with EKS/AKS/GKE and/or ECS/ACI. Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation ...

modules, registries, drift detection), enabling composable, reviewed changes across environments. Run scalable compute: Stand up and operate container platforms — Kubernetes (incl. EKS, AKS, GKE), ECS, and Azure Container Instances (ACI) — including cluster lifecycle, node pools, autoscaling, ingress, service mesh, secrets, and backup/restore. Observability : Instrument services and infra … artefact management). Containers & orchestration: Kubernetes administration knowledge (controllers, scheduling, ingress, autoscaling, troubleshooting) and experience with EKS/AKS/GKE and/or ECS/ACI. Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation ...

modules, registries, drift detection), enabling composable, reviewed changes across environments. Run scalable compute: Stand up and operate container platforms — Kubernetes (incl. EKS, AKS, GKE), ECS, and Azure Container Instances (ACI) — including cluster lifecycle, node pools, autoscaling, ingress, service mesh, secrets, and backup/restore. Observability : Instrument services and infra … artefact management). Containers & orchestration: Kubernetes administration knowledge (controllers, scheduling, ingress, autoscaling, troubleshooting) and experience with EKS/AKS/GKE and/or ECS/ACI. Observability: Practical use of New Relic and Grafana to define metrics/traces/logs, tune alerts, and drive SLOs. Scripting & automation ...

manage Infrastructure as Code using Terraform, including modules, multi-environment setups, and troubleshooting. * Deploy and operate microservices on AWS using container services such as ECS/Fargate, with a good understanding of how services run in different environments. * Work directly with delivery teams to support deployments, environment issues … experience working with AWS, including basic networking, IAM, container services, and environment setups. * Comfortable with Docker and running workloads on container platforms such as ECS/Fargate. * Experience supporting services beyond development - including testing, deployments, and production operations. * Good understanding of monitoring and observability tools (CloudWatch, Grafana, vFunction, Dynatrace ...

challenging datasets, delivering reliable, scalable, and observable solutions. What you'll do Deploy ML and LLM models into AWS production environments (SageMaker, Bedrock, Lambda, ECS, API Gateway) Design and maintain scalable data pipelines for training, validation, deployment, and monitoring Ensure data quality and reliability across multiple sources, including structured … workflows Must-have Senior experience deploying ML or LLM models in production Strong Python engineering skills (FastAPI or similar frameworks) AWS experience: SageMaker, Lambda, ECS, or serverless pipelines Comfortable working with complex datasets and robust data pipelines CI/CD, monitoring, and observability for ML pipelines Strong problem-solving ...

high-quality delivery. Set technical direction across Python services, distributed systems, and large-scale data processing. Work heavily with AWS — especially Redshift, Lambda, ECS, S3 , plus data formats like Parquet . Shape high-throughput data pipelines and SQL-based workflows , ensuring scalability and performance. Run technical design reviews , guide … Product & Design to define technical requirements, prioritise roadmaps, and drive measurable outcomes. Tech Environment You’ll Influence Primary language: Python AWS stack: Redshift, Lambda, ECS, S3 Data workflows: Parquet, SQL, distributed data pipelines Scale: systems processing hundreds of millions to billions of rows Focus areas: performance tuning, reliability, cost ...

high-quality delivery. Set technical direction across Python services, distributed systems, and large-scale data processing. Work heavily with AWS — especially Redshift, Lambda, ECS, S3 , plus data formats like Parquet . Shape high-throughput data pipelines and SQL-based workflows , ensuring scalability and performance. Run technical design reviews , guide … Product & Design to define technical requirements, prioritise roadmaps, and drive measurable outcomes. Tech Environment You’ll Influence Primary language: Python AWS stack: Redshift, Lambda, ECS, S3 Data workflows: Parquet, SQL, distributed data pipelines Scale: systems processing hundreds of millions to billions of rows Focus areas: performance tuning, reliability, cost ...