"transactional workloads" Jobs
22 open tech roles matching “transactional workloads”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, C++, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 22 results
Join Vestwell as an Associate in Payroll Operations, focusing on payroll accuracy and operational efficiency in a dynamic startup environment.
Lead Ramp's Strategic Technical Consulting team to implement solutions for large, complex finance organizations.
Own the strategy and execution for CoreWeave's data services portfolio, shaping the future of data in AI cloud environments.
Design and maintain large-scale backend infrastructure for a leading generative AI platform at Fireworks AI.
Join Brigit as a Fullstack Engineer to help scale a next-generation consumer finance platform with a focus on autonomy and innovation.
Identify use cases and develop a pipeline of prospects for Allium's data platform in a technical sales role.
Join Brigit as a Senior Fullstack Engineer to scale innovative financial products for millions of users with a focus on autonomy and ownership.
Join MongoDB as a Staff Engineer to innovate in query optimization for a world-class distributed database system.
Join MongoDB as a Senior HR Business Partner to shape talent strategies for a high-growth technical services organization.
Join Synthesia as a Senior Commercial Counsel to support legal matters in a leading AI video platform company.
Lead the Legal Operations team at CoreWeave, driving innovation and efficiency in a rapidly growing public company.
Join Rain as a Data Scientist to develop fraud risk strategies and enhance customer experience in a high-growth fintech environment.
Lead M&A integration efforts at MongoDB, ensuring successful acquisitions and realization of deal value.
Lead the strategy for Cloudflare's most critical accounts, driving enterprise-wide transformation and platform adoption.
Lead a regional team of Lakebase Sales Specialists to drive revenue growth and modernize enterprise data applications.