101 to 125 of 10,754 AWS Jobs

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 ...

support analytics, operational workloads, AI and emerging use cases. You may work with technologies and architectural approaches including, but not limited to: 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 ...

support analytics, operational workloads, AI and emerging use cases. You may work with technologies and architectural approaches including, but not limited to: 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 ...

performance issue diagnosis, and implementing solutions. Experience using CI/CD pipelines and tools (Jenkins, Bitbucket Pipelines, GitHub Actions) Working knowledge of cloud platforms (AWS, GCP, Azure) and their core services. Desirable Skills: Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace ...

performance issue diagnosis, and implementing solutions. Experience using CI/CD pipelines and tools (Jenkins, Bitbucket Pipelines, GitHub Actions) Working knowledge of cloud platforms (AWS, GCP, Azure) and their core services. Desirable Skills: Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace ...

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 ...

Enterprise Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh ...

Enterprise Data Architecture:You should have practical architecture experience across both established enterprise approaches and modern data patterns, including:Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures.Event-driven and streaming architectures.Data Mesh and/ ...

advantageous for you to have knowledge of the following: You will have expert knowledge of C# Operation of Kubernetes Clusters Building cloud native applications (AWS) Front-end web technologies (React, shadcn) Domain Driven Design Mathematical Aptitude, particularly statistics Data Engineering skills Experience in building production grade software with Agentic ...

Leadership: Demonstrated experience in architecting and designing large-scale monitoring and observability solutions.* Expert-Level Tooling: Deep expertise with modern observability platforms (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, OpenTelemetry).* Cloud & Infrastructure: Advanced knowledge of major cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and Infrastructure … Green).* Software Engineering Foundation: Strong background in software engineering principles, database administration, and distributed systems architecture* Certifications: Relevant senior-level industry certifications (e.g., AWS Certified DevOps Engineer - Professional, Certified Kubernetes Administrator).Just So You Know...The company presents this job description as a guide to the major areas and duties ...

Platforms is home to Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise … meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.**Why we’re different**At Capgemini, we help organisations across the world become more agile, more ...

Hapi). Frontend : Strong proficiency in Next.js and Angular . Microservices : Proven experience designing and deploying microservices in production. Cloud : Expertise in GCP (AWS/Azure experience also relevant). DevOps : Familiarity with CI/CD tools (GitHub Actions, GitLab), IaC (Terraform, Ansible), and monitoring tools (Datadog, Grafana). Containerization ...

skills including some or all of the following: Proven experience in data engineering, data modelling, and architecture, preferably on a major cloud platform (Azure, AWS, or GCP). Strong experience designing and building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologies ...

skills including some or all of the following:Proven experience in data engineering, data modelling, and architecture, preferably on a major cloud platform (Azure, AWS, or GCP).Strong experience designing and building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologiesProficiency writing ...

Lead the design, build and evolution of secure AWS cloud infrastructure and DevOps capabilities • Design and maintain scalable, secure and automated CI/CD pipelines using GitLab or GitHub • Own infrastructure-as-code approaches using Terraform • Define and promote engineering standards, patterns and best practices across delivery teams • Embed automation … deployment and operational workflows • Apply DevSecOps and security-by-design principles throughout the delivery lifecycle • Design, deploy and operate containerised workloads using Kubernetes and AWS services such as ECS and EKS • Work with architects and security specialists on cloud architecture, networking, identity, security and integration requirements • Implement monitoring, observability, logging ...

Senior AWS DevOps Engineer Salary - £65,000-£85,000 Description Senior AWS DevOps Engineer We help organisations design, build and operate secure, resilient cloud environments, with a strong focus on public sector and other complex, regulated environments. We’re looking for an experienced Senior AWS DevOps Engineer to take … design, build and delivery of cloud infrastructure and automation for our clients. This is a hands-on senior engineering role, combining deep AWS and DevOps expertise with technical ownership, client engagement and the ability to guide other engineers and influence engineering practices. The Role As a Senior AWS DevOps Engineer ...

recruiting on behalf of our client for an experienced Senior AWS DevOps Engineer to take a leading role in the design, build and delivery of cloud infrastructure and automation. Our client works with organisations across public sector and other complex, regulated environments, designing, building and operating secure, resilient cloud environments. … This is a hands‐on senior engineering role, combining deep AWS and DevOps expertise with technical ownership, client engagement and the ability to guide other engineers and influence engineering practices. The Role As a Senior AWS DevOps Engineer, you’ll take technical ownership of cloud infrastructure, CI/CD, infrastructure ...

migration. Practitioners within this team continuously advance their expertise to deliver robust, innovative solutions, from initial strategy to implementation and optimization.When Deloitte and AWS partner together, through collaboration, innovation and trust, we help organisations achieve meaningful change and reach their full potential. With our one team approach, we combine … extensive capabilities, industry knowledge and cutting-edge AWS technology to create transformative solutions that have a tangible impact for our clients. Join a team that is not only recognised for its leadership but is actively shaping the future of AWS-enabled solutions.Connect to your career at Deloitte Deloitte drives progress. ...

migration. Practitioners within this team continuously advance their expertise to deliver robust, innovative solutions, from initial strategy to implementation and optimization.When Deloitte and AWS partner together, through collaboration, innovation and trust, we help organisations achieve meaningful change and reach their full potential. With our one team approach, we combine … extensive capabilities, industry knowledge and cutting-edge AWS technology to create transformative solutions that have a tangible impact for our clients. Join a team that is not only recognised for its leadership but is actively shaping the future of AWS-enabled solutions.Connect to your career at Deloitte Deloitte drives progress. ...