21 of 21 Amazon ECS Jobs in London

/CD pipelines. Technical Skills: Proficient in cloud services from both Azure and AWS (e.g., Azure Functions, AWS Lambda, Azure Kubernetes Service, AWS ECS, Azure Active Directory, IAM). Strong understanding of cloud-native application architectures, microservices, and serverless frameworks. Hands-on experience with infrastructure-as-code tools (e.g. ...

/CD, automation, observability, and reliability Design and maintain secure, performant public APIs Build real-time, distributed systems on AWS (Lambda, DynamoDB, Kinesis, ECS/EKS) Mentor a cross-functional team and raise engineering standards Prototype and ship features that deliver commercial impact - including mobile apps and PWAs What ...

/CD, automation, observability, and reliability Design and maintain secure, performant public APIs Build real-time, distributed systems on AWS (Lambda, DynamoDB, Kinesis, ECS/EKS) Mentor a cross-functional team and raise engineering standards Prototype and ship features that deliver commercial impact - including mobile apps and PWAs What ...

/CD, automation, observability, and reliability. Design and maintain secure, performant public APIs. Build real-time, distributed systems on AWS (Lambda, DynamoDB, Kinesis, ECS/EKS). Mentor a cross-functional team and elevate engineering standards. Prototype and ship features that drive commercial impact - including mobile apps and PWAs. ...

Data teams to align on priorities and ensure value is delivered incrementally. Core Tech Stack Languages: Python (FastAPI, Flask, or Django) Cloud: AWS (Lambda, ECS/Fargate, S3, DynamoDB, CloudWatch, API Gateway) Data & Messaging: PostgreSQL, Redis, Kafka or SQS CI/CD & Infrastructure: Docker, Terraform, GitHub Actions, CloudFormation Monitoring ...

Framework and Micro-services development experience. JavaScript, NodeJS, ReactJS preferred and REST API, PostgreSQL/NoSQL databases, JSON and XML. AWS Cloud environments including: ECS, EKS, API Gateway + Serverless. DevOps and CI/CD technologies , including hands-on experience of Jenkins, Docker , Ansible, Git. Kubernetes . Experience ...

disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data Engineer, AWS Data Engineer ...

platform development. Coding Proficiency: Demonstrated experience with Java and Python. Cloud Competency: Proficiency with common AWS services or equivalent such as EKS/ECS, Kinesis, Lambda, DynamoDB, SNS, and SQS. Systems Monitoring and Analytics: Knowledge of systems monitoring, alerting, and analytics using tools such as Datadog, Splunk, New Relic ...

Experience administering and maintaining systems monitoring/alerting technologies (CloudWatch, Splunk, Nagios, Rapid7, Grafana etc.). Proven experience with containerisation - Docker/Kubernetes/ECS/ECR, etc., Database administration - MySQL, QuestDB, Elasticsearch. Experience with multiple cloud providers AWS and GCP - Azure a bonus. Demonstrate strong verbal and written ...

SaaS (ideally cybersecurity, threat intelligence, or offensive security tools). Deep technical expertise across: Cloud: AWS, Azure IaC: Terraform, Ansible Platforms: Kubernetes (EKS), ECS, Docker, Lambda, Airflow Observability: EFK, Prometheus, Grafana, Jaeger/OpenTelemetry Persistence: MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, Kafka Pipelines: GitHub Actions, AWS CodeBuild Runtimes: Python, Node.js ...

cloud(preferably AWS)? Extensive experience of creating infrastructure as code usingTerraform or CloudFormation (preferably Terraform)? Experience of using container orchestration systems such asKubernetes, ECS or serverless application design with AWSLambda? Experience supporting large production services? Proficiency in at least one programming language (we use Rubyand Python)? Strong Git skills ...

10am stand-up). About you: You have strong backend software engineering skills with TypeScript and Node.js You have strong AWS experience including ECS, Lambda, S3, SQS and RDS You have a good working knowledge of Python You have experience of building RESTful APIs and microservices You have ...

with some of the following, or be open to learning: JavaScript: React, Node.js, Jest, Cypress Ruby (non-Rails environment) nice to have AWS: EC2, ECS, Lambda, S3, SQS Serverless.com Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues ...

with some of the following, or be open to learning: JavaScript: React, Node, Jest, Cypress Ruby (non-Rails environment) – nice to have AWS: EC2, ECS, Lambda, S3, SQS Databases: MongoDB & PostgreSQL They are looking for someone who is: Proactive, collaborative, and adaptable Approachable and supportive of colleagues A strong ...

technical stack includes: Languages & Frameworks: JavaScript/TypeScript React (web apps) React Native (mobile apps) with Expo Node.js Backend & Cloud: AWS (Lambda, DynamoDB, ECS, S3, API Gateway) Azure AD (authentication and identity management) Google Cloud Platform & Firebase (used selectively for mobile features) GitHub/GitHub Actions for CI/ ...

experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software ...

should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure ...

should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure ...

should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure ...

things we use at the moment: Python PostgreSQL, BigQuery, MySQL TypeScript, React, styled-components Jest, React Testing Library, Cypress, pytest AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How We Expect You To Work We expect you to work in these ways, as well as encouraging and enabling these ...

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 ...