3 of 3 AWS Fargate Jobs in the City of London

world. Key areas of responsibility include: Infrastructure & Cloud Engineering: • Design, provision, and manage scalable cloud infrastructure using Infrastructure-as-Code (Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure. • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications … Implement and maintain security best practices including network security, firewalls, role-based access control (IAM), encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault). • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards ...

Platform Engineer (AWS Python) London/WFH to £100k Do you have expertise with AWS? You could be joining a growing and profitable scale-up that is viewed as a leading FinTech disruptor in a senior role that will allow you a great deal of influence and progression. … Platform Engineer you will take a lead role in the design, implementation, maintenance and support of the AWS infrastructure and services, collaborating with technical, operational and business stakeholders to deliver scalable, secure and resilient infrastructure and applications. You'll take ownership for infrastructure and platform capabilities, seeking to improve ...

transformation. Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms. Experience building production data pipelines in AWS cloud environments. Familiarity with Docker containers and CI/CD pipelines. Experience with Infrastructure as Code and deployment tooling such as CloudFormation or CDK. … Highly desirable experience: Exposure to commodities, energy trading, or financial markets. Experience supporting real-time or near-real-time analytics environments. Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway. Experience with big data technologies including Spark, Databricks, Hadoop, or Dask. ...