4,176 to 4,200 of 9,895 Permanent Azure Jobs

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

pipelines using tools such as Jenkins or GitLab CI Performance optimisation (bundle size, lazy loading, rendering performance) Cloud platforms and static hosting (AWS, Azure or GCP) Observability tooling including logging, metrics and frontend monitoring Package management with npm, yarn or pnpm What Success Looks Like You’ll demonstrate: Technical ...

enterprise architecture or cloud security leadership. Knowledge of modern cloud technologies including serverless, container orchestration, and hybrid cloud models. Professional certifications such as AWS, Azure, GCP, ITIL, TOGAF, CISSP, or CISM. Experience working within federated or multi-business-unit organisations and knowledge of relevant compliance frameworks. What ...

architecture and AI/agentic system adoption Comfortable working with uncertainty and engineering forwards AWS or other cloud accreditations (desirable, not essential) Exposure to Azure or GCP alongside AWS (desirable) Why Haven? Haven is the UK's leading holiday operator, welcoming around 4 million guests every year ...

algorithms. DesirableBackground in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applicationsFamiliarity with Anaplan or similar enterprise planning platformsExperience with ...

data At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering ...

data At least 8 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering ...

skills and time management skills. Demonstrable experience delivering data science solutions that have influenced business decisions and generated measurable commercial value. Desirable Experience using Azure Machine Learning Studio or similar cloud-based ML platforms. Experience using Snowflake or similar cloud-based data platforms. Experience in general insurance. Personal Attributes ...

Desired Qualifications Cisco Certifications (CCNP, CCIE) or equivalent networking certifications. Juniper (JNCIP/JNCIE), Aruba, Fortinet, or Huawei certifications. Experience with Cloud Networking including Azure, AWS, and Google Cloud Platform. Knowledge of Network Automation tools such as Ansible, Python, Terraform, or similar technologies. Understanding of Network Security frameworks ...

processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record ...

enterprise architecture or cloud security leadership. Knowledge of modern cloud technologies including serverless, container orchestration, and hybrid cloud models. Professional certifications such as AWS, Azure, GCP, ITIL, TOGAF, CISSP, or CISM. Experience working within federated or multi-business-unit organisations and knowledge of relevant compliance frameworks. What ...

modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g. ...

security, and in securing AI usage and AI agentsExperience designing and implementing security solutions at enterprise scaleHands-on experience with major cloud platforms (AWS, Azure, GCP)Working knowledge of SIEM/XDR solutions and security operationsTechnical expertise in endpoint protection, identity management, and cloud workload securityExperience with API integration ...

frontend technologies, specifically JavaScript and React, to help build interactive user interfaces for our prototypes. Cloud Services: Experience working with cloud platforms (e.g., AWS, Azure, GCP). Systems/Backend Languages: Familiarity with other languages used for high-performance backend or ML workloads, such as Rust or C++. Studies ...

affect customer and business outcomes. Engineering and platform skills. Strong Python and software engineering skills, with working knowledge of APIs, system integration, cloud platforms (Azure, AWS or GCP), containers, CI/CD, testing and production monitoring. You can review code properly, spot design and quality problems, and give feedback ...

enterprise‐scale SAP landscapes. Significant experience designing, operating and modernising SAP workloads across public cloud, private cloud and on‐premise environments, including AWS, Azure, SAP RISE and hybrid architectures. Demonstrable experience delivering major SAP transformation initiatives involving SAP S/4HANA, BTP, SAP cloud services, Business AI, Joule ...

data management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). Deep expertise in data integration patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data ...

systems. Subject matter expert of Security technologies, with demonstrable experience of developing and implementing them. Good understanding of Cloud Infrastructure platforms (e.g. AWS, GCP, Azure). Strong written and verbal communication skills, ability to communicate effectively with all levels of audience including executive leadership. Powerful analytical and problem‐solving ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

data, volumetric datasets or large-scale imaging systems. Experience deploying ML models into production environments. Knowledge of C++ software development. Familiarity with Git and Azure DevOps. Experience with cross-platform development (Windows and Mac). Exposure to cloud-based training workflows. Understanding of cybersecurity principles. About ...

environment for the purpose of developing creative solutions to difficult technical problems Experience working with Continuous Integration/Development & Integrated development tools such as Azure, Git, Atlassian Suite, Eclipse, and Ansible Knowledge of Red Hat and/or Linux Operating Systems Exposure to Open Systems Architectures and modular design ...

DevOps tools (e.g. Git, Jenkins, Docker, and Kubernetes). It would be advantageous to have multi-cloud experience (including but not limited to AWS, Azure, and Google Cloud) Have worked in an agile environment. What’s in it for you: At Accenture in addition to a competitive basic salary ...

more Oracle certifications across OCI, Data Management, AI Services or Autonomous Database. Experience working with complementary technologies such as Python, Spark, Databricks, Azure, AWS, OpenShift, Kubernetes or MLOps platforms. Demonstrated ability to structure client problems, shape solutions and identify opportunities for further value creation. Ability to travel as required ...

architectural patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion ...

team Ability to be on‐call and/or work during off‐hours Preferred Cloud or SRE‐related certifications Working knowledge of Azure Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. Commitment to Diversity, Equity, and Inclusion ...