1,151 to 1,175 of 3,580 Microsoft-Azure Jobs

expertise with geospatial data formats (e.g., Shapefile, GPKG, GeoJSON, FGDB, GeoTIFF, GeoParquet etc.), coordinate systems, and spatial data standards. Experience with cloud platforms (Azure, AWS, or GCP) for data engineering workloads. Experience using ESRI tools, FME, GDAL/OGR or equivalent technologies. Understanding of spatial indexing, query optimisation ...

Computer Science, Mathematics (or closely related discipline), or equivalent experience Risk management and communication Essential technical skills: Python GIT/Linux DevOps methodology Azure Docker Highly-desirable technical skills: Telegraf/Influx/Grafana stack CI/CD practices We actively recruit citizens of all backgrounds ...

Back End role: Expert-level ability to code in Java, Spring Boot and RESTful API development. Experience with cloud platforms like AWS/Azure Other Skills An excellent understanding of software engineering techniques Worked in an agile development environment using processes like Kanban or Scrum Experience with relational ...

observability and monitoring using AWS CloudWatch, X-Ray, and related tooling to ensure service reliability Develop CI/CD pipelines using GitHub Actions, Azure DevOps, or equivalent to enable automated testing and continuous delivery Collaborate with cross-functional teams (platform, AI, product, and data) to design and integrate ...

following technology stacks (e.g., JavaScript/TypeScript, Python, .NET, Java, Low‐Code) and experience overseeing full‐stack development. Experience with cloud platforms (AWS, Azure etc.). Strong understanding of data, security, privacy, and compliance considerations. Leadership & Communication Demonstrated ability to lead engineering organisations through growth and change. Excellent ...

management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog. At this time, Capital One will ...

management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog. At this time, Capital One will ...

management for technical platforms (data science or Machine Learning preferred), MLOps, or internal developer tools. Familiarity with cloud computing environments (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Kubernetes). Demonstrated experience working in an Agile environment and managing a product backlog. At this time, Capital One will ...

modernization initiatives including migration to cloud native and API Strategy. Current experience with AWS, APIs, Accelerators, DevSecOps. Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud. Good understanding of security. Experienced with large scale technology platforms. What is a Must Have? Bachelor’s degree ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

Manager or Project manager 7+ years' experience with project management and the ability to self-manage projects 7+ years of Experience with GitLab, Azure DevOps and CI/CD (Continuous Integration and Continuous Delivery (CI/CD) 5+ years of experience do you have with the DevSecOps lifecycle ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

with legal frameworks governing penetration testing and disclosure Specializations You May Develop: SCADA/OT environment security testing Cloud infrastructure penetration testing (AWS, Azure) Web services and API security Mobile application testing (iOS/Android) Who You Are Essential Experience & Skills: Minimum 3+ years professional penetration testing experience ...

deep expertise in distributed systems.* Proven record building low-latency, high-throughput, and fault-tolerant services in cloud-native environments (preferably AWS or Azure).* Strong understanding of OAuth2, OpenID Connect, and identity federation protocols.* Proficiency in Linux internals, networking, and performance profiling.* Experience with infrastructure as code ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference ...

Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence ...