3 of 3 Permanent AWS Lambda Jobs in Midlothian

tech stack We use a wide variety of tools and technologies across our products. Here's an idea of what you might typically encounter: Our services are deployed to AWS, typically using Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript and React We implement GraphQL and RESTful APIs More ❯

LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm … for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation, Terraform and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS More ❯

coding practices. Strong experience with Infrastructure as Code (Terraform) and CI/CD (GitHub Actions) for automating cloud and identity configurations, including secure secrets management. Solid understanding of core AWS services relevant to modern authentication patterns, such as API Gateway, Lambda authorisers, and CloudWatch. A commitment to observability, with hands-on experience implementing structured logging, dashboards, and SLOs More ❯