3 of 3 Permanent AWS Fargate Jobs in London

Knowledge of IT Security practices is beneficial. We think around 5+ years of relevant experience in a similar field is about right. Proficiency across AWS technologies is key. Experience with automation/configuration management. Proficiency in using and navigating through Ansible, Terraform, BitBucket, Git and similar code repositories ...

stem any losses, but also permanent technical fixes that prevent recurrence. Infrastructure and Automation: Use Pulumi, Terraform, CDK etc. to model effective infrastructure in AWS and other PaaS and SaaS providers. Improve CI/CD pipelines and support safe deployment patterns, such as ‘canary’ and ‘blue green’. Engineering … tools, specification, APIs etc. Excellent understanding of SRE principles, including embracing risk, service level objectives, eliminating toil, monitoring distributed systems, automation and release engineering AWS expertise, including Lambda, ECS/Fargate, EC2, EventBridge, SQS, S3, DynamoDB and general networking principles System administration knowledge – able to comfortably ...

production—and help shape best practices in security, automation, and cost-efficient AI deployment. Key Responsibilities Architect secure, scalable ML and GenAI systems using AWS services (SageMaker, EKS/Fargate, Lambda, Step Functions). Build CI/CD pipelines for ML models, agents, and GenAI applications. Deploy LLMs … Mentor junior engineers and promote engineering best practices. Key Requirements Essential 3+ years experience in MLOps/ML Engineering/AIOps. Strong expertise in AWS (SageMaker, EKS/Fargate, Lambda, Step Functions, S3). Proficient with Docker, Kubernetes , and IaC (Terraform or AWS CDK). Experience with ...