Balyasny Asset Management is seeking a Senior Software Engineer to join our Commodities technology team. You'll work with portfolio managers, analysts, and technology colleagues to build and support the systems behind risk, P&L, and trading workflows across the commodities trading business.

This is a hands-on role with ownership across the software lifecycle: understanding user needs, designing and building solutions, and helping ensure they operate reliably in production, in a fast-moving front-office environment. You'll work on practical problems with visible impact, while collaborating closely with both technical and business partners.

What you'll do
• Build and improve platforms, applications, and data workflows for commodities risk, P&L, and trading.
• Work with portfolio managers and analysts to understand their workflows and translate needs into effective technical solutions.
• Mentor junior members of the team upon technical and domain knowledge.
• Develop and support production systems, with attention to reliability, performance, and operational stability.
• Investigate production issues and take part in the team's support rotation.
• Automate manual processes and improve operational efficiency.
• Integrate systems with internal platforms and shared services across BAM.
• Document systems, workflows, and support procedures so that knowledge is accessible across the team.

What you'll bring
• Substantial software engineering experience, typically 5+ years, or equivalent experience delivering production software.
• Strong Python skills and experience working with data-centric applications.
• Experience building and supporting production-grade applications used by business teams.
• Experience in risk, P&L, valuation, and market data.
• Strong understanding of software engineering best practices and the software development lifecycle.
• Ability to work closely with technical and non-technical colleagues, understand user needs, and explain technical trade-offs.
• Strong communication, troubleshooting, and problem-solving skills.
• A bachelor's or equivalent degree in Computer Science, Engineering, or related field.

Helpful experience
• Familiarity with commodities or energy markets.
• Experience with timeseries data or financial datasets.
• Experience with Rust, C++, or another performance-oriented language