Intetics

Intetics Inc. is a leading U.S.-based technology company providing custom software development, distributed professional team formation, product quality assessment, and “all-things-digital” solutions powered by AI/ML, SMAC, RPA, IoT, blockchain, and GIS/drone/LBS technologies. Leveraging our proprietary business models of Offshore Dedicated Team® and Remote In-Sourcing®, an advanced Technical Debt Reduction Platform (TETRA™) and SLA-based software engineering, we enable innovative organizations to access global tech talent and deliver predictable, high-quality outcomes through our Predictive Software Engineering framework. For over 30 years, Intetics has consistently exceeded client expectations, earning ISO 9001 (quality) and ISO 27001 (security) certifications, and recognition as a Microsoft Gold, Amazon AI Competency, and UiPath Silver partner. Our commitment to innovation and excellence is reflected in numerous industry accolades, including Inc 5000, Software 500, CRN 100, American Business Awards, Deloitte Fast 50, European IT Excellence, Stevie People’s Choice, Clutch, ACQ5, and listings on the IAOP Global Outsourcing 100 and Fortune Innovative 300. Learn more at https://intetics.com

19/08/2026
Full time
Intetics Deutschland
Intetics Inc. is a global technology company specializing in custom software development, AI-powered solutions, cloud technologies, and digital transformation. With over 30 years of experience, we help organizations worldwide build scalable, innovative, and data-driven solutions across a wide range of industries. We are looking for talented professionals who are passionate about solving complex technical challenges and building high-quality data platforms. Impact You Will Make in the Role: Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows. Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders. Identify and implement pipeline optimizations that reduce Databricks compute costs, improve throughput, and reduce processing windows while tracking...