15 of 15 Amazon Cognito Jobs in the UK excluding London

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 ❯

in an agile software development environment. Experience of source control (e.g., git) and issue tracking (e.g., JIRA) tools. Experience of object orientated programming principles. Experience of AWS (e.g., Lambda, Cognito, S3, DynamoDB). Demonstrated ability to share knowledge, concepts, and ideas to a wide range of people. Excellent written and verbal communication with strong interpersonal skills. Experience in mentoring 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 ❯

Snowflake Skilled in managing complex infrastructure, CI/CD pipelines, and cloud networking Demonstrated ability to manage application observability, triage and monitoring Technical Competencies (Desirable): Familiarity with Auth0, AWS Cognito, Helm, Prometheus/Grafana, OpenTelemetry or Honeycomb Experience with CI/CD pipelines for containerised and serverless environments Knowledge of additional cloud platforms such as GCP or Azure Benefits More ❯

demonstrations Requirements Expertise in the following: Proven experience in a DevOps role within a production environment Proficiency with AWS services including VPC, S3, R53, EKS, Lambda, IAM, RDS, and Cognito Container orchestration using Kubernetes or similar tools in production deployments Experience with: AWS security best practices including IAM, security groups, encryption, and compliance frameworks Monitoring tools such as CloudWatch 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 ❯

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 ❯

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 ❯