The role involves building complex API and system integrations within a backend engineering capacity. You will be expected to collaborate with the U.S. team, requiring an overlap of at least 2–4 hours with West Coast business hours.
The Senior Data Engineer will own and optimize the full ingestion-to-consumption data pipeline using Microsoft Fabric, PySpark, and Azure Data Factory. They are responsible for implementing event-driven ingestion, maintaining data quality frameworks, and managing CI/CD workflows to support business intelligence and AI model feeds.
Lead and mentor a cross-functional engineering team while overseeing project planning, execution, and delivery. Establish prioritization paths and provide hands-on technical guidance to ensure alignment with strategic IT objectives.
Lead and mentor a cross-functional engineering team while overseeing project planning, execution, and delivery. Establish prioritization paths and provide hands-on technical guidance in Java and database architecture to ensure operational efficiency.
Define the technology roadmap and architect scalable AI/ML and Edge AI platforms for Manufacturing and Automotive sectors. Lead cross-functional engineering teams and engage with global customers to deliver high-impact digital transformation programs.
The engineer will develop and maintain userplane protocol stacks focusing on network communication. Responsibilities include working with cloud networking, microservices architecture, and secure tunneling via WireGuard.
Design, deploy, and operate enterprise-grade platform services across on-premises and hybrid cloud environments. Focus on automating infrastructure provisioning using IaC and managing distributed data and caching platforms.
The role focuses on identifying and acquiring new enterprise healthcare accounts through proactive prospecting and C-level engagement. The executive is responsible for managing the full sales cycle to close high-value AI and IT services deals to meet revenue quotas.
