Senior Software Engineer - Powering the people who bet on the future

What We're Actually Building

We're engineering decision-making infrastructure for some of the world's top 50 VC firms (confidentiality prevents name-dropping, but trust us—they're the ones who funded the companies that changed your life). When elite investors evaluate whether that AI biotech startup is the next $10B company or just impressive slide decks, our systems provide the answer that matters.

The reality: We build AI-powered dealmaking intelligence for private capital. You'll architect systems that surface the next unicorn from noise, design workflows that compress 40-hour processes into 4 hours, and build data pipelines that connect everything from Pitchbook to proprietary investment theses.

What you'll own: Technical architecture for scalable backend systems. Strategic decisions with minimal oversight. Features that directly impact how billions of dollars get allocated to world-changing companies.

Why Loop3

💡 Impact That Compounds: Your architectural decisions shape how capital flows to breakthrough companies. The systems you design help identify the innovations that create industries. Our clients are the people behind the unicorns—and you're building the tools they depend on.

🚀 Technical Depth: Work at the intersection of distributed systems, AI/ML infrastructure, and financial data at scale. Real-time market signal processing, complex data orchestration, and AI agents that reason about investment opportunities. This is the kind of engineering complexity most people only read about on Hacker News.

🎯 Pure Meritocracy: Can you architect excellent systems and ship them with minimal oversight? That's what counts. No politics, no credential theater, just engineering excellence and measurable business impact.

🔥 High Agency Paradise: You'll make architectural decisions and choose your tools. This isn't following someone else's roadmap—you're building it alongside product and business leaders. We trust you to know what's right.

What You'll Architect

• Intelligence APIs that digest market data, company signals, and investment patterns at scale
• Automated workflows that eliminate manual busywork across the entire investment lifecycle
• Data infrastructure that makes sense of complex, multi-source financial datasets (yes, including the messy ones)
• AI agent systems that can analyze investment memos, extract signals, and reason about opportunities
• Platform architecture that scales from prototype to production without the dreaded rewrite

Our stack: Node.js/TypeScript, Azure/GCP/AWS (Lambda, API Gateway, S3, EC2, SQS, RDS, EventBridge, AppRunner), SST/Terraform, Next.js, React, SQL/NoSQL, Python for AI & ML, Snowflake.

But really—if you can architect systems that scale and make sound technical trade-offs, the specific tools are implementation details you'll master.