976 to 1,000 of 7,379 Azure Jobs

clearance. Your future duties and responsibilities Architect, build and operate cloud infrastructure Design and deliver secure, scalable, fault-tolerant infrastructure across AWS (and potentially Azure/GCP), optimised for performance, availability, and cost. Support and operate live systems Maintain deployment environments, support production systems, and manage changes to live ...

scalable, and robust code in PythonFamiliarity with analytics libraries (e.g., pandas, numpy, matplotlib), distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP)Basic understanding or exposure to containerization technologies such as Docker and Kubernetes would be beneficialExposure to software engineering concepts and best practices, including ...

technical liaison between engineering teams and business users, helping translate analytical needs into scalable Databricks-based solutions.Your expertiseYou have:• proven experience with Azure and Databricks in large-scale data environments• strong understanding of Spark, Hadoop ecosystems and big data engineering concepts• hands-on data engineering experience• experience delivering ...

integration, regression, performance and non-functional testing, with a strong understanding of CI/CD and DevOps practices.Good knowledge of cloud technologies such as Azure and/or AWS, alongside an understanding of automated testing within cloud environments.Strong understanding of Agile delivery, risk-based testing and the software development ...

libraries. Strong background in applied machine learning, model development, and data engineering, with an appreciation of responsible AI principles. Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift. Demonstrated ability to lead cross-functional teams and mentor junior practitioners. Ability to communicate complex ...

working effectively within a collaborative team environment. Desirable AttributesPrior internship experience in a software development role.Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.#LI-JB1About usEbury delivers sophisticated, integrated ...

tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS , Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking ...

/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharingCloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code Experience & Qualifications: Experience: Minimum 7–10 years in data architecture, engineering, or consulting ...

HTML, CSS, JavaScript, Typescript, React, Angular).Demonstrated ability to independently solve design and functionality challenges with minimal supervision.Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.Hands-on experience designing and building scalable applications using ...

theory, optimization algorithms). Strong knowledge of one or more SQL/NoSQL databases. Experience building containerized applications and deploying to cloud (AWS, GCP, Azure, or similar). Experience with web‐based development and data visualization for large, complex data sets. Familiarity with fixed income data sources (e.g., Bloomberg ...

TypeScript ecosystems.You have a proven track record of leading the architecture of complex software projects and deploying them successfully into cloud environments like AWS, Azure, or GCP.You bring extensive experience with containerisation and infrastructure-as-code, including tools like Docker, Kubernetes, or Terraform, to ensure reliable software delivery.You ...

Data & AI Senior Product OwnerMastercardLondon, United Kingdom**Description**\*\*Our Purpose\*\* \_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone ...

this role*** **Cloud Infrastructure & Experience**: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms across AWS, GCP, and Azure, including deep knowledge of networking (VPC, Direct Connect, Transit Gateways, BGP, OSPF) and IaaS/PaaS architectural patterns* **Infrastructure-as-Code & Automation**: 2+ years ...

device binding/attestation, and experience in consolidating fragmented user identities into a unified identity model.Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes).Contributions to open-source projects or a personal portfolio demonstrating technical curiosity and skill.Experience with Domain-Driven Design ...

Guidewire ClaimCenter functionality and configuration concepts.Experience with user story creation, backlog management, and acceptance criteria definition.Familiarity with tools such as JIRA, Confluence, or Azure DevOps.Experience in test scenario definition, UAT support, and defect lifecycle management.Strong documentation and analytical skillsExposure to Guidewire integrations (PolicyCenter, BillingCenter, external systems).Exposure to regulatory ...

Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital ...

Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital ...

with strong interpersonal and influencing skills Desirable Skills Experience in data value management including governance, quality, and ownership Knowledge of cloud platforms such as Azure or AWS Familiarity with Python, PySpark, data lakes, and data warehousing concepts Understanding of DevOps, automated testing, and release management Knowledge of insurance principles ...

application development, including working with datasets, statistical or analytical techniques. Knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. DevOps and infrastructure skills, including Docker, Kubernetes, Linux, Terraform, CI/CD pipelines, and GitHub Actions. Strong understanding and practical ...

using Apache Iceberg for efficient, reliable table management and data lake optimizationExperience architecting and implementing enterprise-scale data warehouses on cloud platforms (e.g., AWS, Azure, GCP), including migration from legacy systemsAdvanced proficiency in designing and optimizing data models for analytics, reporting, and business intelligence use casesDemonstrated ability to automate ...

e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills: Proven ability ...

concepts to non-technical stakeholders.Nice to haves:Experience securing API access and implementing access control mechanisms at the application level.Multi-cloud infrastructure experience – AWS, Azure, GCP, and more.Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET.Mentorship/leadership experience supporting junior ...

opportunity to overcome scale challenges, and a flexible approach to technologies. Must Have Skills Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure). Proficiency in scripting languages (e.g., Python, Bash). Experience with infrastructure‐as‐code tools (e.g., Terraform, Ansible). Familiarity with containerization and orchestration tools (e.g. ...

Excellent Python development skills with frameworks such as pandas, scikit-learn, TensorFlow or PyTorch, and LangChain. Experience with cloud AI services including AWS Bedrock, Azure Machine Learning, or Google Cloud AI Platform. Good understanding of data engineering, model deployment, and MLOps best practices. Experience with Git-based development ...

Experience building and maintaining CI/CD pipelines Containerization experience (Docker, Kubernetes) Benchmarking experience and performance testing methodologies Cloud platform experience (AWS, GCP, or Azure) Background in developer tools or platform engineering Ability to design and implement complex automation systems Strong problem-solving skills and attention to detail Preferred ...