1 to 25 of 528 Permanent Cloud Computing Jobs in London

that are grounded in value, transparency and simplicity to improve cash flow management efficiency. The Team: The Dev Experience team is a global team responsible for engineering the public cloud platform to support our Payment Orchestration and Execution Platform. Working in close partnership with application teams building the new system, the team is responsible for identifying and securing the … public cloud services required, automating their provisioning, and building a highly resilient and scalable infrastructure which will differentiate our offering from the competition. The Role: We are seeking highly collaborative, creative and intellectually curious engineers who are passionate about forming and implementing cutting-edge cloud computing capabilities. Candidates should be comfortable working in a fast-paced DevOps … RESPONSIBILITIES AND QUALIFICATIONS Partner with colleagues from across technology and risk to ensure an outstanding, useable, and unobtrusive experience for development teams building and deploying their applications into public cloud environments. Help to define, communicate and promote best practices for public cloud application development across the department Develop software and tooling to secure and automate cloud infrastructure More ❯

team defining the future of the product. Your responsibilities will include designing, developing, testing, and maintaining our SaaS product from concept to deployment. Key Responsibilities Design, deploy, and manage cloud infrastructure solutions on platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Collaborate with software development teams to design and implement cloud … and orchestration technologies (e.g., Docker, Kubernetes). Implement and maintain automated deployment pipelines, infrastructure as code (IaC), and configuration management tools (e.g., Terraform) to streamline provisioning and management of cloud resources. Monitor, optimise, and troubleshoot cloud infrastructure performance, security, and costs, utilising monitoring tools and logging frameworks Implement and enforce cloud security best practices, including identity and … industry regulations (e.g., GDPR, SEC, SOC2). What we look for Bachelor's degree or equivalent experience in Computer Science or related field Proven experience (3 years) as a cloud engineer, solutions architect, or similar role, with hands-on experience designing, deploying, and managing cloud infrastructure in AWS, Azure, or GCP. Strong understanding of cloud computing More ❯

track record of designing and implementing large-scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modelling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Familiarity with … and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Why Join warpSpeed: Career Growth and Impact: Technical Leadership and Innovation: Lead the architectural vision for a revolutionary Application AI platform. Opportunity to solve complex technical … challenges at the intersection of AI, cloud computing, and productivity tools. Influence the direction of AI applications in daily software tools. Career Growth and Impact: Play a key role in a rapidly growing startup that's redefining productivity in the AI era. Opportunity to shape the future of work and personal productivity for millions of users. Clear path More ❯

role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML … your own path. You'll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: Proficiency in programming languages used in ML, such as Python/Java. Knowledge of … big data technologies. Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow More ❯

role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML … your own path. You'll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: • Proficiency in programming languages used in ML, such as Python/Java. • Knowledge of … big data technologies. • Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow More ❯

feature use cases to define and implement a best-in-class architecture. This role demands a strong focus on Microservices Architecture , ensuring that our solutions are scalable, configurable, and cloud-agnostic, with seamless integrations across various systems. Key Responsibilities: Architecture & Design: Microservices Focus : Architect, design, and implement a robust microservices-based solution, enabling agility, scalability, and independent service deployments. … Define and own the solution architecture for the product, ensuring scalability, configurability, and cloud-agnostic capabilities. Develop HLD (High-Level Design) and LLD (Low-Level Design) documents for the product. Create and maintain the deployment architecture , ensuring efficient and resilient deployment strategies. Design the integration architecture , including APIs, microservices, and third-party integrations. Technical Leadership: Guide engineering teams in … design, performance, and security. Define technology choices and architectural patterns to support the product roadmap. Conduct architecture reviews to ensure compliance with design principles and performance benchmarks. Scalability, Security & Cloud Strategy: Develop solutions that are scalable, highly available, and performant . Ensure cloud-agnostic architecture , leveraging abstracted services from AWS, Azure, or GCP as needed. Implement best practices More ❯

feature use cases to define and implement a best-in-class architecture. This role demands a strong focus on Microservices Architecture , ensuring that our solutions are scalable, configurable, and cloud-agnostic, with seamless integrations across various systems. Key Responsibilities: Architecture & Design: Microservices Focus : Architect, design, and implement a robust microservices-based solution, enabling agility, scalability, and independent service deployments. … Define and own the solution architecture for the product, ensuring scalability, configurability, and cloud-agnostic capabilities. Develop HLD (High-Level Design) and LLD (Low-Level Design) documents for the product. Create and maintain the deployment architecture , ensuring efficient and resilient deployment strategies. Design the integration architecture , including APIs, microservices, and third-party integrations. Technical Leadership: Guide engineering teams in … design, performance, and security. Define technology choices and architectural patterns to support the product roadmap. Conduct architecture reviews to ensure compliance with design principles and performance benchmarks. Scalability, Security & Cloud Strategy: Develop solutions that are scalable, highly available, and performant . Ensure cloud-agnostic architecture , leveraging abstracted services from AWS, Azure, or GCP as needed. Implement best practices More ❯

feature use cases to define and implement a best-in-class architecture. This role demands a strong focus on Microservices Architecture , ensuring that our solutions are scalable, configurable, and cloud-agnostic, with seamless integrations across various systems. Key Responsibilities: Architecture & Design: Microservices Focus : Architect, design, and implement a robust microservices-based solution, enabling agility, scalability, and independent service deployments. … Define and own the solution architecture for the product, ensuring scalability, configurability, and cloud-agnostic capabilities. Develop HLD (High-Level Design) and LLD (Low-Level Design) documents for the product. Create and maintain the deployment architecture , ensuring efficient and resilient deployment strategies. Design the integration architecture , including APIs, microservices, and third-party integrations. Technical Leadership: Guide engineering teams in … design, performance, and security. Define technology choices and architectural patterns to support the product roadmap. Conduct architecture reviews to ensure compliance with design principles and performance benchmarks. Scalability, Security & Cloud Strategy: Develop solutions that are scalable, highly available, and performant . Ensure cloud-agnostic architecture , leveraging abstracted services from AWS, Azure, or GCP as needed. Implement best practices More ❯

edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data … that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a strong code-first, data as a … and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing More ❯

advocating for a "push-button deploy" vision. This includes guiding technical teams on operational best practices and understanding product development requirements to integrate DevOps principles. A strong understanding of cloud services (AWS, Azure or GCP) for large-scale production deployments is essential. You'll be responsible for building, releasing, and configuring production systems , troubleshooting issues across platforms, and staying … documenting processes, and providing architectural guidance for DevOps improvements. Qualifications Bachelor's Degree or equivalent experience. 6 - 8 years in DevOps practices, including CI/CD solution design and cloud computing (AWS, Azure, GCP). Expertise in version control (GitHub/GitLab) and build/release tools (e.g., Jenkins, Azure DevOps, Artifactory). Strong experience with Infrastructure as … Code (Terraform) , Configuration as Code (Ansible) , and automation scripting (Python/JavaScript). Proficient in Docker and Packer . Familiarity with cloud architecture, networking, and build management tools (Nuget, Maven). Experience with Agile methodologies (Jira), monitoring tools (Elastic/Splunk), and Linux/Windows operating systems. A proactive, self-motivated, and detail-oriented individual with excellent communication skills. More ❯

acumen, and strong communication skills, with a specialization in applying Generative AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise … Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings. Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding … of Vertex AI's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution Design: Building scalable, secure, and resilient cloud architectures, including designing AI More ❯

to maintain optimal reliability. Implement security best practices and ensure compliance with industry standards and regulations. Stay up-to-date with emerging technologies and trends in backend, infrastructure, and cloud computing, and evaluate their potential impact on Appwrite's platform. Participate in code reviews and architectural discussions, fostering a culture of continuous improvement. Requirements Experience building and consuming … or pub/sub using tools like Redis, along with familiarity with CI/CD tools (e.g., GitHub Actions) and writing unit and end-to-end tests. Experience with cloud platforms (AWS, Google Cloud, Azure, DigitalOcean) and Infrastructure as Code (IaC) tools like Terraform. Ability to build reliable, performant, and scalable APIs using a microservice architecture. Have a More ❯

will focus on creating a self-service, scalable, and reliable platform that streamlines development workflows, simplifies infrastructure management, and enhances overall productivity. This role requires a strong understanding of cloud computing (specifically Azure), infrastructure-as-code (IaC), DevOps practices, containerisation, orchestration, and a passion for building developer-friendly platforms. Key Responsibilities: Platform Design & Development: Design, develop, and maintain … concepts effectively to both technical and non-technical audiences. Essential Skills & Experience: 5+ years of experience in platform engineering, DevOps engineering, or a related role. Strong experience with Azure cloud platform and services. Extensive experience with IaC tools like Terraform, ARM templates, or Bicep. Solid understanding of CI/CD principles and experience with CI/CD tools like More ❯

will focus on creating a self-service, scalable, and reliable platform that streamlines development workflows, simplifies infrastructure management, and enhances overall productivity. This role requires a strong understanding of cloud computing (specifically Azure), infrastructure-as-code (IaC), DevOps practices, containerisation, orchestration, and a passion for building developer-friendly platforms. Key Responsibilities: Platform Design & Development: Design, develop, and maintain … concepts effectively to both technical and non-technical audiences. Essential Skills & Experience: 5+ years of experience in platform engineering, DevOps engineering, or a related role. Strong experience with Azure cloud platform and services. Extensive experience with IaC tools like Terraform, ARM templates, or Bicep. Solid understanding of CI/CD principles and experience with CI/CD tools like More ❯

technology and a commitment to staying current with emerging trends and advancements in the field. Experience with e-commerce platforms, payment gateways, and related technologies (desirable). Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and headless architecture (desirable). Bachelor's or Master's degree in Computer Science, Engineering, or a related field (desirable More ❯

technology and a commitment to staying current with emerging trends and advancements in the field. Experience with e-commerce platforms, payment gateways, and related technologies (desirable). Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and headless architecture (desirable). Bachelor's or Master's degree in Computer Science, Engineering, or a related field (desirable More ❯

responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and More ❯

responsible for building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets. Key Responsibilities : Data Pipeline Development & Optimisation : Design, develop, and maintain robust and scalable data pipelines for ingesting, transforming, and More ❯

updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists … business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven … approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists … business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven … approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

updated on AI governance policies and compliance frameworks related to professional services and enterprise AI applications. Research, Innovation & AI Strategy Stay at the forefront of AI advancements, frameworks, and cloud technologies . Lead AI-driven strategic initiatives , exploring innovative approaches for automation, personalization, and efficiency enhancement . Stakeholder Collaboration & Communication Work closely with executive teams, data scientists, business strategists … business applications. Strong programming skills ( Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven … approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance … experienced Professional Services Delivery Manager, you will be responsible for: Building and managing a high-performing team of Delivery Consultants Collaborating with Delivery Consultants, Engagement Managers, Account Executives, and Cloud Architects to deploy solutions and provide input on new features Developing and overseeing the implementation of innovative, forward-looking IT strategies for customers Managing practice P&L, ensuring on … traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of More ❯

systems A consistent track record of successfully delivering complex, infrastructure-focused technology solutions on time and within budget fast-paced environment What makes you stand out: Extensive experience with cloud computing platforms (AWS, Azure, or Google Cloud) and containerization technologies such as Docker and Kubernetes Solid understanding of DevOps and SRE practices, with hands-on experience in More ❯

some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work More ❯

forward-thinking organisation committed to delivering cutting-edge technology solutions. To achieve this goal, they are seeking an exceptional Head of DevOps to lead the DevOps team through a cloud transformation project from scratch. About the Role: As the Head of DevOps, you'll be responsible for growing and managing a team of experienced engineers, leading the charge on … their cloud transformation project, and driving innovation in their technology infrastructure. This is an extraordinary opportunity to shape the future of the organisation and develop scalable, cloud-native solutions. Key Responsibilities: Team Growth and Development: Hire, manage, and develop a team of skilled DevOps engineers. Foster a culture of continuous learning and improvement. Establish clear goals, objectives, and … performance metrics for team members. Cloud Transformation Project: Design, implement, and maintain a comprehensive cloud strategy. Migrate existing applications to the cloud, leveraging industry-leading platforms (e.g., AWS, Azure, GCP). Develop and deploy cloud-native applications using DevOps principles and practices. Technology Vision and Roadmap: Develop and maintain a technology vision and roadmap aligned with More ❯