21 of 21 Amazon Cognito Jobs in England

patterns, GitLab or similar for CI/CD. - Understanding and implementation of security hardening and vulnerability management. - Understanding and management of identity providers and SSO configurations (Azure AD , Ory, Cognito, Firebase) - Understanding of Site Reliability Engineering and key concepts - Proficient in Infrastructure as Code pipeline deployments and pipeline version control within Terraform or CloudFormation. - Observability Systems, e.g., Nagios, New More ❯

but looking for the environment and tech culture to progress further. Experience of Design Systems/Figma in the development process Playwright (or similar testing frameworks like Cypress) Monorepo Cognito SQS Exposure or experience in the use of Design Systems (antd, material-ui) and Figma would be advantageous. Deeper knowledge of accessibility and how it applies to building digital More ❯

attitude (Desirable) Detailed knowledge of using PostgreSQL or PostGIS in a production environment (Desirable) Typescript experience (Desirable) Have worked with core AWS services (S3, Lambda, DynamoDB, API Gateway, Kinesis, Cognito, or comparable services on other platforms) Working at Route Reports This role is hybrid, with occasional travel around the UK for customer visits. We have an office in Battersea More ❯

stakeholders Technologies Back-end: Java 21, Spring (Boot 3+/Cloud/Data/REST), Postgres/Jooq/Flyway, JUnit/TestContainers/Mockito, AWS (EC2, RDS, k8s, Cognito, S3) Front-end: TypeScript, React, and Tailwind CSS More ❯

in Python and Javascript is preferred with experience with React Fundamental programming skills (data structures, algorithms) Interest in Serverless architectures Knowledge of cloud-based Infrastructure (AWS API Gateway, Lambda, Cognito, DynamoDB) Experience working with Terraform Openness to learn and work with different technologies Good communication skills, both written and spoken Knowledge of Agile, BDD, TDD and CI/CD More ❯

or Angular with TypeScript. Backend: Node.js, TypeScript, Express, or NestJS. Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) . Cloud & DevOps: Experience with AWS services (Lambda, S3, Cognito, RDS) and containerization (Docker, Kubernetes). Security & Compliance: Familiarity with OAuth, JWT, HIPAA/GDPR compliance. Join a purpose-driven startup focused on improving patient outcomes. Collaborate with experts More ❯

object orientated programming principles. Experience working in an agile software development environment. Experience of source control (e.g., git) and issue tracking (e.g., JIRA) tools. Experience of AWS (e.g., Lambda, Cognito, S3, DynamoDB). Experience in mentoring others. More ❯

object orientated programming principles. Experience working in an agile software development environment. Experience of source control (e.g., git) and issue tracking (e.g., JIRA) tools. Experience of AWS (e.g., Lambda, Cognito, S3, DynamoDB). Experience in mentoring others. More ❯

Manchester area. You should be fluent in TypeScript and React, with an eye for UI/UX experience A strong background integrating AWS services such as Lambda, API Gateway, Cognito, and S3 is essential. You'll contribute to architecture decisions, mentor developers, and help shape our front-end strategy. Requirements: 5+ years of front-end experience Expert in React More ❯

managing on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in More ❯

managing on premise Kubernetes clusters Deep knowledge of Kubeflow or similar systems such as MLflow Proficient in Python and experienced with Linux systems Familiar with AWS services such as Cognito, S3, EC2 and Lambda Experience working with ML frameworks such as PyTorch or Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in More ❯

take ownership, but the future of the technical strategy is largely down to you. As it stands the stack includes a TypeScript serverless backend built on AWS Lambda, using Cognito for authentication and RDS for data storage, all orchestrated with the Serverless Framework. A Next.js frontend has been combined with static generation with server-side rendering, and Strapi CMS More ❯

cluster. Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able More ❯

cluster. Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able More ❯

cluster. Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able More ❯

problems. Excellent communication skills, proven ability to convey complex ideas to others in a concise and clear manner. Preferred: Familiarity with OAuth2.0, SAML 2.0, SCIM, IDPs such as AWS Cognito, Okta, or Azure Active Directory; hands-on experience with Azure EventHub or AWS SNS/SQS; familiarity with big data, data science/analytics, and large-scale distributed systems More ❯

in cloud technologies, software and architectural design patterns. Required Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 5+ years of industry experience. Experience with Amazon AWS services such as EKS, S3, SQS, RDS, Cognito, and Lambda. Proficiency in Python or Go (Golang), with a focus on building production-quality services. Experience working with More ❯

applying strong CS fundamentals and first principles thinking, creatively using the right data structures & algorithms to solve problems 90/10. Familiarity with AWS (e.g. APIG, SQS, DynamoDB, Lambda, Cognito, Amplify, CloudFormation) and/or hungry to learn. We don't enforce any particular experience level, but you'll need to demonstrate most of the above through past projects … and one for patients. Our stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD. Our stack is in a great place already: highly scalable, cost effective, good More ❯

premise Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy … Experience: Solid experience managing on-premise Kubernetes clusters Strong knowledge of Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops More ❯

premise Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy … Experience: Solid experience managing on-premise Kubernetes clusters Strong knowledge of Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops More ❯

applying strong CS fundamentals and first principles thinking, creatively using the right data structures & algorithms to solve problems 90/10. Familiarity with AWS (e.g. APIG, SQS, DynamoDB, Lambda, Cognito, Amplify, CloudFormation) and/or hungry to learn. We don't enforce any particular experience level, but you'll need to demonstrate most of the above through past projects … and one for patients. Our stack is currently entirely in JS/TS: Angular + Capacitor + Electron, React (internal tools), Amplitude (analytics), a fully serverless backend in AWS (Cognito, Appsync GraphQL, Lambda, DynamoDB). We have good functional & unit test coverage and CI/CD. Our stack is in a great place already: highly scalable, cost effective, good More ❯