• Design and architect scalable, reliable, and secure Microsoft Fabric solutions, focusing on data integration, data engineering, and advanced analytics. • Lead the end-to-end implementation of Microsoft Fabric, including data pipelines, data governance, and self-service analytics. • Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions. • Develop and enforce best practices for managing and optimizing data storage, transformation, and reporting within the Microsoft Fabric ecosystem. • Ensure seamless integration of Microsoft Fabric with existing cloud and on-premises data systems (Azure, SQL Server, Power BI, etc.). • Provide technical leadership and mentorship to the engineering team on Microsoft Fabric tools and features. • Manage the lifecycle of data assets from ingestion to reporting, ensuring compliance with data governance and security requirements. • Stay updated on Microsoft Fabric updates, new features, and emerging trends, providing recommendations for continuous improvement.

• Take ownership of designing, implementing, and scaling the platform's core backend systems • Lead end-to-end development for critical platform features • Define the architecture and standards for identity management and security solutions • Champion best practices in reliability engineering, DevOps, and infrastructure-as-code • Collaborate with cross-functional teams, including product, design, and data • Work with a small team of experienced engineers on full-stack development

• Responsible for delivering an enterprise class NetApp software product. • Software Engineer thrives as part of a high-performance team tasked with finding creative solutions to the most profound data challenges customers face.

We're not handing you a roadmap. We don't have one. We have business operations that need to be automated, agent systems that need to actually work in production — not just demos — and problems that need someone who can walk in, figure out what to build, and build it. That person owns it completely. Not manages it. Not consults on it. Owns it. That's who we're hiring. You work AI-first, move fast, and make the call. No hand-holding. No spec documents that go 12 revisions deep. You see a problem, you build the solution, you ship it. If something breaks, you fix it. If something could be better, you say so — then make it better. We don't manage builders. We find them. We get out of their way. What you'll do: - Build agent workflows that connect to live operational data — scheduling systems, CRMs, communication tools — and surface what needs attention before anyone has to ask. - Implement MCP or equivalent to connect AI to real data sources in a way that holds up in production, not just in a demo. - Work AI-first. Cursor, Bolt, Lovable, Replit — whatever closes the gap fastest. - Own it end-to-end. Architecture, build, deploy. No handoffs. What it takes: - Real full-stack chops — frontend, backend, APIs, databases. You know when to vibe code and when to actually engineer it. - Fluent with AI coding tools and agent frameworks — Cursor, Bolt, Lovable, n8n, Make, LangChain, or equivalent. You don't just use AI, you build with it. - Right tool for the job — full-stack, no-code, low-code. You don't have a religion about it. - You move without being pushed. Deadlines are self-imposed. What we offer: - 100% remote flexibility — work from anywhere in the world, Mon–Fri, 8am–5pm CST - Competitive salary - Generous holiday allowance and paid time off (PTO) - Health insurance - The kind of work you'll actually want to talk about