microservices , event-driven architecture , and cloud-native development . Strong understanding of SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis). Proficient in AWS cloud services especially Lambda, SQS, S3, Cognito, API Gateway, EventBridge, etc. Hands-on experience with DevOps practices (CI/CD pipelines, Docker, GitHub Actions). Familiarity with frontend tooling such as Vite, ESLint, CSS-in-JS More ❯
experience with modern React (TypeScript, HTML, CSS). Proven backend development skills with RESTful APIs (AWS Lambda, API Gateway, DynamoDB). Experience deploying frontend apps on AWS (CloudFront, S3, Cognito). Proficiency with Git, CI/CD, and infrastructure-as-code (AWS SAM or CloudFormation). Familiarity with automated testing frameworks and practices. Passion for clean code, simplicity, and More ❯
experience with modern React (TypeScript, HTML, CSS). Proven backend development skills with RESTful APIs (AWS Lambda, API Gateway, DynamoDB). Experience deploying frontend apps on AWS (CloudFront, S3, Cognito). Proficiency with Git, CI/CD, and infrastructure-as-code (AWS SAM or CloudFormation). Familiarity with automated testing frameworks and practices. Passion for clean code, simplicity, and More ❯
across the company Requirements Must Haves 3+ years of experience in a DevOps, SRE, or infrastructure-focused engineering role Strong experience with AWS services (EC2, ECS, RDS, S3, IAM, Cognito) Proficiency with infrastructure-as-code (especially AWS CDK, but Terraform or similar also a plus) Hands-on experience with Docker and container orchestration (ECS, EKS, or Kubernetes) Experience setting More ❯
technical architecture decision making. Core skills Languages: Node.js, TypeScript Front-end: Next.js and Vercel, Tailwind CSS Back-end: OpenAPI Infrastructure: AWS (ECR, ECS, Fargate, Elasticache/Redis, SQS, SES, Cognito, RDS, Bedrock, KMS, S3) Databases: MongoDB and PostgreSQL This is a hybrid role - 4 days per week in office (London N1) and 1 day remote A starting salary in 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 ❯
