76 to 100 of 837 Amazon ECS Jobs

safety, and alignment with user expectations Build and maintain RAG pipelines and LLM-powered data workflows Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker, Step Functions), architecting for LLM-specific constraints Translate user feedback and field insights into production direction, influencing what gets built based on real ...

safety, and alignment with user expectations Build and maintain RAG pipelines and LLM-powered data workflows Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker, Step Functions), architecting for LLM-specific constraints Translate user feedback and field insights into production direction, influencing what gets built based on real ...

Management Service (KMS). Hands-on experience with AWS networking technologies including VPCs, subnets, routing, and load balancing. Experience securing and supporting ECS, EKS, and AWS Lambda workloads. Knowledge of CloudWatch and CloudTrail for monitoring, logging, and auditing activities. Azure Security Expertise Experience developing ARM templates and Bicep scripts ...

clusters Contribute to innovative AWS infrastructure solutions that drive business success. Требования: Hands‐on experience designing and deploying containerized workloads on AWS, including EKS, ECS, or Docker Strong experience with Infrastructure as Code using Terraform or CloudFormation, including environment provisioning and automation Practical knowledge of the Kubernetes ecosystem, including ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...

backend engineering experience in production environments Strong proficiency in Python and TypeScript for building distributed, event-driven systems Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models Familiarity with vector databases and concepts ...