As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it.
The Role
Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment
Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management
Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions
Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability
Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery
Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes
Manage and mentor a team of engineers, fostering technical excellence and accountability
What You'll Bring
Bachelor's degree in Computer Science, a related field, or equivalent job experience
6+ years of hands-on industry experience building scalable, high-reliability backend systems
Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work
Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines
Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs
Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus
Working knowledge of a Unix/Linux environment
Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences
Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds
Solid understanding of data structures, algorithms, and system design trade-offs
Relational and non-relational database experience
C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts
Previous people management experience is a plus
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