Top Tech Jobs & Startup Jobs

The Senior Salesforce QA Engineer will design and execute test cases, maintaining quality and fostering collaboration with cross-functional teams, focusing on Salesforce technology and Agile methodologies.

The Lead AWS Engineer will build and manage a scalable AWS platform, focusing on automation, incident management, platform reliability, and mentoring junior engineers while collaborating with stakeholders.

The Sr. Associate will lead client-facing projects, focusing on project management, data analysis, and developing junior staff while implementing Workday solutions.

The role involves managing projects related to Workday Adaptive Planning, mentoring junior staff, analyzing requirements, and maintaining client relationships. It requires significant experience in implementing enterprise software solutions and may involve travel.

The role involves leading client-facing projects, managing workstreams, conducting data analysis, and developing presentations while mentoring junior staff.

The role involves leading Workday integrations, managing complex system integrations, team leadership, and collaborating with clients on technical solutions.

The role involves building and maintaining AI data capabilities, implementing data pipelines, and ensuring operational excellence in data management within a healthcare context.

The Workday Grants Manager oversees implementation of Workday Financials and grants management, analyzing requirements, conducting tests, and mentoring junior staff while ensuring client satisfaction through effective communication and relationship building.

The role involves managing technology solutions, mentoring junior staff, building client relationships, and specializing in Workday Payroll. It demands strong communication and analytical skills and offers opportunities for professional development.

Lead design, development, and optimization of enterprise PostgreSQL databases, perform query tuning and migrations, and contribute to backend .NET/API microservices. Troubleshoot production issues, implement monitoring/alerting, drive technical decisions, mentor engineers, and ensure high-performance, scalable, and highly available data solutions.