Top Tech Jobs & Startup Jobs

Design, deploy, operate, and optimize large-scale distributed infrastructure across Kubernetes, cloud, networking, storage, and AI/ML environments. Automate workflows, build monitoring and observability solutions, troubleshoot complex system issues, support model-training infrastructure, and participate in on-call rotations and postmortems to improve reliability.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Own end-to-end data platform architecture across ingestion, lakehouse, warehouse, transformation, modeling, governance, and analytics delivery. Build pipelines, Spark and SQL transformations, data models, and production code. Design Databricks or Microsoft Fabric lakehouses, implement Delta Lake and medallion architecture, establish access controls and governance, and integrate databases, SaaS applications, APIs, files, and legacy systems. Evaluate platform choices based on client workloads, licensing, skills, and cost.

Drive enterprise sales of AI, data, cloud, database managed services, and production AI solutions across the Midwest. Build territory plans, generate new logos, expand accounts, manage Salesforce pipelines, and lead complex sales cycles from discovery through close. Co-sell with hyperscaler and OEM partners, engage executive buyers, develop proposals and business cases, and coordinate solutions, delivery, legal, and finance teams.