The Senior Cloud Vulnerability & DevSecOps supports the Threat & Vulnerability Management operations. This role ensures that the organization’s cloud architecture, services, and workloads are secure from evolving threats by proactively identifying vulnerabilities via CI/CD pipelines and cloud security operations and driving remediation strategies.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Own and manage the day-to-day operation of the Databricks Lakehouse Platform and MLOps services, ensuring high availability, performance, security, and user satisfaction.
Be a visible leader onsite, overseeing all quality control processes on site, ensuring all work meets the highest standards of performance, functionality, and safety.
For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.