26 to 50 of 3,049 AWS Jobs

4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety. Amazon Q for developer and ops assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE‐native agentic coding; policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted … govern enterprise knowledge ingestion. Architecture & Integration: Distributed systems, microservices, cloud‐native (Azure/AWS/GCP); secure API design (REST/GraphQL). MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety. DevSec & Responsible AI: Privacy‐by‐design ...

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 ...

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 ...

Architect Frontier Resourcing are looking for a senior level AI Technical Architect to deliver secure, scalable, cloud-native and AI-enabled systems across Azure, AWS, and hybrid environments. You'll turn complex client needs into production-ready solutions — and take ownership from architecture through deployment and operations. … concept, refining delivery patterns, and advancing AI and cloud capabilities. Skills/Experience: Essential Proven cloud architecture and hands-on delivery experience (Azure, AWS, or GCP) Strong Terraform, CI/CD (GitHub Actions or GitLab), Docker, and Kubernetes skills Experience shipping and operating production systems (“you build ...

codebase. Deep understanding of relational database design, indexing, performance tuning, and migrations (PostgreSQL). Proficiency with containerisation (Docker) and Git-based workflows. Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, ECR/ECS). Experience with API versioning, security, documentation strategies, and automated testing. Strong problem ...

data ingestion and transformation. Build and maintain data models , feature stores, and data marts to support analytics and AI initiatives. Work with cloud platforms ( AWS, Azure, or GCP ) to design and deploy data solutions. Implement data quality rules, validation processes, and observability tooling. Collaborate closely with Data Scientists, Analysts … Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform (AWS, Azure, or GCP). Strong understanding of data warehousing concepts , dimensional modelling, and schema design. Experience working with CI/CD pipelines and Git-based ...

familiar with real-time reporting, distributed caching, and unstructured databases such as MongoDB. Technical Architecture: You are confident with modern design patterns, AWS cloud services, C# or Java, containerisation (Kubernetes, Docker, OpenShift), and infrastructure-as-code tools such as Terraform. Familiarity with React for UI development is highly valuable. Integration … mindset and comfort working across multiple disciplines. Experience applying Agile frameworks to complex technology environments. Technical Must-Haves Microservices architecture and containerisation Cloud hosting (AWS strongly preferred) Messaging and caching patterns Functional Must-Haves Full lifecycle understanding of physical energy trading (Gas and/or Power) Why join us? This ...

familiar with real-time reporting, distributed caching, and unstructured databases such as MongoDB. Technical Architecture: You are confident with modern design patterns, AWS cloud services, C# or Java, containerisation (Kubernetes, Docker, OpenShift), and infrastructure-as-code tools such as Terraform. Familiarity with React for UI development is highly valuable. Integration … mindset and comfort working across multiple disciplines. Experience applying Agile frameworks to complex technology environments. Technical Must-Haves Microservices architecture and containerisation Cloud hosting (AWS strongly preferred) Messaging and caching patterns Functional Must-Haves Full lifecycle understanding of physical energy trading (Gas and/or Power) Why join us? This ...

Principal Engineer (Cloud) Consultancy - AWS Azure Terraform Kubernetes Leeds City Centre with Hybrid Working (2 days a week in the office) £80,000£90,000 + Benefits WRK digital is exclusively partnering with a leading digital consultancy to recruit a Principal Engineer (Cloud) a hands-on technical leader who sets … secure, scalable, and cost-effective. Key Responsibilities Lead cloud architecture and technical decision-making across major projects Design and build cloud-native platforms using AWS, Azure, Terraform, Kubernetes, and serverless technologies Write and review high-quality, production-ready code across the full stack Champion best practices in security, testing ...

modern programming with one or more programming languages, Python and/or Golang, Java, Ruby, TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud, Azure and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes and now what … work across a range of tooling in the following areas: Programming: with at least one language; Python, Go, Java, Ruby, TypeScript etc Cloud: Either AWS, GCP or Azure Container/Orchestration: Docker, Kubernetes IAC: Terraform, Cloud Formation, CrossPlane, Ansible (Config Mgt) CI/CD: CircleCI, GitHub Actions, Jenkins ...

leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation … required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced ...

data-centric, machine learning-based systems across the full lifecycle (training, deployment, monitoring) • Expertise in cloud environments such as Azure, Google Cloud or AWS • Excellent technical understanding for catering to non-functional requirements including query performance, data quality, machine learning model performance and security • Ability to explain complex analytical concepts … architectural, data governance, and data management standards, balancing speed with long-term value • Coach and mentor other zeroG colleagues in Solution Architecture Technologies: AI AWS Architect Azure CI/CD Cloud Databricks DevOps Docker Excel Fabric GitHub Java Kubernetes Machine Learning NoSQL Power BI Python SQL Scala Security Snowflake Spark ...