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The Senior Engineer will collaborate with teams to design software, write scalable code in ASP.NET, C#, and C++, test applications, and provide technical support. The role involves analyzing requirements, maintaining existing services, and documenting throughout the software development life cycle while adhering to agile principles.
The Engineer will focus on automation testing within the identity authority platform, providing visibility and control while enhancing security measures. Responsibilities include developing automated test scripts, troubleshooting issues, and collaborating with cross-functional teams to ensure the platform meets quality standards.
As Director of Product Management for Cloud Platform at Saviynt, you will lead the development and implementation of cloud solutions, collaborate with cross-functional teams, manage product lifecycle, and advocate for innovation while ensuring top-class user experience and integration of customer feedback.
The Sr. ASP .Net Developer will analyze requirements, collaborate on software design, write scalable code, test and deploy applications, maintain existing services, and provide technical support, all while following agile principles.
The Engineering Manager will lead data lake initiatives, ensuring the secure management of data assets. Responsibilities include developing data lake strategies, overseeing data pipelines, ensuring data quality and security, and mentoring data engineers. The candidate will collaborate with various stakeholders and stay updated on data lake technologies.
The Senior Engineer I will design, develop, and maintain applications using Java and Spring Boot, implement microservices architecture, manage cloud deployments, and collaborate with teams for scalable solutions. Responsibilities include documentation, troubleshooting, testing, and mentoring junior developers to foster growth.
The Sr Engineer will act as a subject matter expert in Application Access Governance, performing analysis on customer issues, creating test cases, maintaining documentation, and working closely with different teams. They will also provide status reports and ensure testing coverage while adhering to life cycle methodologies.
As an AI/ML Engineering Manager, you will lead a team of AI/ML developers and data scientists, manage innovative projects, oversee AI/ML model development, and collaborate with stakeholders to align initiatives with business goals while ensuring technical excellence.
The Quality Engineer will ensure the quality of Analytics solutions by analyzing business requirements and developing, maintaining, and executing functional test plans. The role involves collaboration with various teams to maintain high quality standards across applications.
The Apache Superset Developer will design, develop, and maintain dashboards and visualizations using Apache Superset, ensure effective data visualization, collaborate with analysts and stakeholders, provide technical support, and stay updated with best practices in the field.
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