76 to 100 of 10,684 AWS Jobs

into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks ...

into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks ...

with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability ...

define and execute scalable, secure, and cost-effective network and cloud strategies. The role encompasses oversight of migration activities to public cloud platforms (AWS, Azure, Google Cloud), integration with private cloud and on-premises environments, and the establishment of architecture standards and frameworks. Key Responsibilities Define and maintain enterprise architecture … network and cloud solutions. Essential Skills Proven experience architecting and leading large-scale network and cloud transformation initiatives. Deep expertise in public cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud architectures. Strong background in enterprise network design, including routing, switching, security, and automation. Ability to establish and enforce design ...

least one programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell).Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc)Experience with infrastructure as code tools such … standard monitoring and automation tools such as Splunk, Datadog, Pagerduty Rundeck. Familiarity with configuration management tools like Ansible, Puppet, or Chef.Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent.Personal attributes:Strong communication skills and the ability to collaborate effectively with cross-functional teams.Team player - ability ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance frameworks … deliver transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Hands-on experience with public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models … 3+ years of experience in designing data model based on requirement 3+ years of experience building native cloud solutions on either Azure (preferred) or AWS Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary ...

health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Hands-on experience with public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models … 3+ years of experience in designing data model based on requirement 3+ years of experience building native cloud solutions on either Azure (preferred) or AWS Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary ...

health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Hands-on experience with public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models … 3+ years of experience in designing data model based on requirement 3+ years of experience building native cloud solutions on either Azure (preferred) or AWS Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary ...

health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Hands-on experience with public cloud platforms (preferably AWS) and managing infrastructure using IaC tools like Terraform (Serveless Architecture, Cloudwatch(monitoring) Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and integrating AI models … 3+ years of experience in designing data model based on requirement 3+ years of experience building native cloud solutions on either Azure (preferred) or AWS Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance frameworks … deliver transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

e.g., Vite, Webpack) and state management libraries. Experience with CI/CD tools (e.g., GitHub Actions), IaC (e.g., Terraform), and cloud platforms (Azure/AWS). Leverage modern AI tools (e.g. GitHub Copilot, Claude Code, etc.) to improve productivity where appropriate. Good problem-solving skills and understanding of scalable system ...

services using Spring Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/ ...

Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

maintain clearance throughout employment.Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles.Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep.Strong knowledge of CI/CD tools ...

Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

clearance throughout employment. Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge ...

application architectures. Mastery of agile methodologies and their application across large, distributed teams. Enterprise-level expertise in Infrastructure as Code and public cloud architecture (AWS, Azure, or GCP). Strategy-level experience with CI/CD tools and automation at an organisational level. Desirable Experience Significant experience delivering high-profile ...

Spring Framework. Experience designing and building microservices and RESTful APIs. Exposure to Node.js, TypeScript, Express.js or similar frontend technologies. Experience working with AWS, Azure or GCP. Knowledge of Docker, Kubernetes and Infrastructure as Code using Terraform. Experience implementing CI/CD pipelines using Jenkins, Azure DevOps or similar. A proven ...

Spring Framework. Experience designing and building microservices and RESTful APIs. Exposure to Node.js, TypeScript, Express.js or similar frontend technologies. Experience working with AWS, Azure or GCP. Knowledge of Docker, Kubernetes and Infrastructure as Code using Terraform. Experience implementing CI/CD pipelines using Jenkins, Azure DevOps or similar. A proven ...

external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that … APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills and ability to thrive in fast‐paced environments. Excellent ...

expect to design and deliver scalable, secure and high‐performing data platforms that support analytics, operational workloads, AI and emerging use cases. Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh and domain‐oriented patterns Data processing ...

internal and external workflows.Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment.Build intuitive interfaces that enable teams … including RESTful APIs and micro-services design.Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments.Excellent communication ...

external workflows. Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams … RESTful APIs and micro-services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments. Excellent communication ...

Privacy Controls Enterprise Security Architecture Frameworks Familiarity with: NCSC Cloud Security Principles ISO 27001 NIST Cybersecurity Framework CIS Controls OWASP Technical Experience Cloud Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Security Technologies Microsoft Defender Suite Splunk Microsoft Sentinel CrowdStrike Prisma Cloud Wiz Lacework Tenable Qualys Infrastructure & DevOps Kubernetes Docker ...