python developer for data platforms

Balyasny Asset Management is a global multi-strategy hedge fund managing assets across equities, commodities, macro, and credit. Its technology and data infrastructure supports the firm's continued growth.

• Contribute to features and products within the Data Platform for data and metadata access;
• Apply a product-oriented mindset to engineering work;
• Build reliable applications and assess operational risks during reviews and releases;
• Build runbooks, alerting, and operational processes to ensure reliable service operation;
• Adopt AI coding tools and workflows and share learnings with the team;
• Work effectively with guidance from senior team members on a geo-distributed team while developing independence;
• Communicate proactively across time zones through documentation, async updates, and direct user channels to keep stakeholders informed and unblock work.

• Have 3+ years of software engineering experience;
• Have demonstrated experience contributing to team process improvements, particularly in service operations and AI adoption;
• Have demonstrated experience participating in projects across multiple phases and navigating ambiguity;
• Understand the complexities and challenges of building reliable and performant data access technologies;
• Have 2+ years of Python programming experience and excellent debugging skills;
• Be comfortable writing and debugging SQL statements;
• Have experience with multiple layers of testing and test automation;
• Have a product-oriented mindset and balance fast delivery with scalable, sustainable engineering;
• Care about process and repeatability and seek to prevent recurring issues;
• Be proactive, curious, and comfortable learning independently;
• Be comfortable working through ambiguity with guidance and maintaining high operational standards;
• Nice to have: direct experience with data or metadata access technologies, financial services experience, Kubernetes, Copilot, Cursor, Claude Code, Codex or similar agentic coding tools, Grafana, Loki, OpenTelemetry/Tempo, Prometheus, AWS CloudWatch, Datadog, AWS, Kafka, federated query engines such as Trino.

• Competitive compensation and benefits;
• High-visibility role with direct impact on critical applications used across the firm;
• Opportunity to shape AI-driven coding best practices within the team and AI-driven data access patterns across the firm;
• Opportunity to contribute to legacy and greenfield projects with high potential for autonomy, ownership, and impact;
• Opportunity to work at the intersection of cutting-edge technology and institutional finance.