26 to 50 of 3,825 AWS Jobs

Graph and other types of databases and event driven systems using Kafka/MSK, SQS, etc Cloud native deployments in hyper-scalers such as AWS/GCP/Azure using containerisation and orchestration with Docker/Kubernetes or serverless architecture Apply industry best engineering practices: TDD, well-structured and clean … software development, with at least 3 years in AI/ML systems engineering or Generative AI Experience with cloud native deployments and services in AWS/GCP/Azure with the ability to architect distributed systems A ‘no-compromise’ attitude with engineering best practices such as clean code, TDD, containerisation ...

similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks (e.g. ...

similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks (e.g. ...

impact engineering team working on mission-critical, secure systems. You’ll be operating in a modern, cloud-native environment with a strong focus on AWS, Kubernetes, automation, and engineering excellence. This is a hands-on role where you’ll shape the platform, not just maintain it. What … doing Designing, building, and operating secure AWS-based platforms Building and running Kubernetes clusters and containerised workloads Driving an automation-first approach across infrastructure, CI/CD, and operations Developing tooling and platform services using Python and/or Java Owning and improving CI/CD pipelines and release processes ...

impact engineering team working on mission-critical, secure systems. You’ll be operating in a modern, cloud-native environment with a strong focus on AWS, Kubernetes, automation, and engineering excellence. This is a hands-on role where you’ll shape the platform, not just maintain it. What … doing Designing, building, and operating secure AWS-based platforms Building and running Kubernetes clusters and containerised workloads Driving an automation-first approach across infrastructure, CI/CD, and operations Developing tooling and platform services using Python and/or Java Owning and improving CI/CD pipelines and release processes ...

management, tools integration to harden the baseline, and privilege management. Associate-level cloud certification in Azure or AWS. Hands-on experience in Azure and AWS cloud technologies, including compute, networking, storage, and security services. Expertise in designing and implementing continuous delivery and/or DevOps solutions across cloud-native … Provide on-call support outside of standard working hours as and when required to ensure continuity of service and timely resolution of critical issues. AWS IaaS Sys Admin (e.g. Solaris, Linux or Windows) As a Cloud DevOps Engineer, you will: Work on multiple projects as part of a wider cloud ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...

experience with AI frameworks (e.g. TensorFlow, PyTorch, and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic, and/or AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. Strong … grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS). Ability ...