Staff Engineer

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Logo of Nexus Cognitive

Nexus Cognitive

51 - 200 employees

Founded 2018

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 Series unknown on 2024-07

SaaS • Artificial Intelligence • B2B

Nexus Cognitive is a composable intelligence layer and open data platform that sits above enterprise data systems to make data AI-ready without replacing existing infrastructure. It provides a universal query gateway, automatic enrichment, centralized governance, and a managed full‑stack service that enables rapid (30‑day) AI deployments, lower TCO, and enterprise-grade security and compliance. Nexus Cognitive powers revenue, customer, operational, and risk intelligence by unifying data across warehouses, lakehouses, and cloud platforms while preserving business context and minimizing tool sprawl.

📋 Description

• Setting technical direction across a domain or set of teams, not just a single codebase • Diving into the hardest, most ambiguous problems and driving them to a clean solution • Raising the bar on engineering practices — architecture, code quality, testing, operational rigor • Mentoring senior engineers and helping them grow into the next stage of their careers • Partnering closely with product and engineering leadership to shape roadmaps and technical strategy • Writing code when it matters, and knowing when *not* to

🎯 Requirements

• A track record of technical leadership at scale, ideally with Staff/Principal-level experience (or Senior engineers clearly operating at that level) • Strong systems thinking — you can zoom out to architecture and zoom into a gnarly bug with equal ease • Excellent communication; you can influence without relying on authority • A bias toward pragmatic solutions over perfect ones • Genuine curiosity and a track record of continuous learning

🏖️ Benefits

• A collaborative team culture built on curiosity and respect • Challenging work where your contributions clearly matter • A leadership team that invests in learning and development • The opportunity to work at the intersection of cloud, data, and AI innovation

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