Lead Production Engineer, Operations and Finance Technology

Balyasny Asset Management

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Posted: 24 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $184k

$138k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $154,450–$214,062.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 59 open roles on FindRole.

Listed pay typically runs $175,000–$250,000 across 30 roles with salary data.

Most-posted roles

View all roles at Balyasny Asset Management

At a glance

TL;DR · Lead Production Engineer, Operations and Finance Technology

Role Posting Log in to save

Lead Production Engineer, Operations and Finance Technology serves as a senior technical individual contributor within the Global Production Engineering organization. The role is responsible for the technical direction, operational health, and support model of a significant domain encompassing trade booking, position management, accounting, reference data, treasury, and portfolio management. Day-to-day responsibilities include resolving complex production issues across applications, databases, infrastructure, and messaging systems while ensuring accurate processing of trades and P&L calculations. The candidate will utilize tools such as OpenTelemetry, Grafana, Splunk, ITRS Geneos, Prometheus, AlertManager, ActiveBatch, and Airflow to improve observability and automate workflows. Technical requirements include proficiency in .NET, Python, SQL Server, Linux, Windows administration, and scripting via PowerShell. This role addresses critical financial infrastructure challenges including trade capture, reconciliation, and downstream data distribution within a global follow-the-sun support model.

Skills

OpenTelemetry Grafana Splunk ITRS Geneos Prometheus AlertManager ActiveBatch Airflow Python PowerShell .NET SQL Server Linux Windows FIX Kafka Snowflake Tableau AWS Azure Kubernetes CI/CD SRE

What you'll do

Own the technical direction, operational health, and support model for a significant Operations and Finance technology domain.
Investigate and resolve complex production issues across applications, databases, infrastructure, messaging, and integrations.
Support critical business processes including trade capture, position management, P&L delivery, accounting, and treasury.
Lead cross-functional initiatives from initial requirements and design through implementation and production readiness.
Establish standards for operational readiness, documentation, monitoring, alerting, and incident response.
Improve system observability using tools such as OpenTelemetry, Grafana, Splunk, and Prometheus.
Manage integrations including APIs, message queues, FIX protocols, vendor feeds, and network security configurations.
Configure and optimize automated workflows and dependencies using tools like ActiveBatch and Airflow.

What we're looking for

Seven or more years of experience supporting financial technology within a hedge fund, investment bank, asset manager, or financial technology provider.
Proven experience owning a significant technical domain, platform, or cross-team initiative.
Strong knowledge of trade operations, accounting, portfolio management, reference data, treasury, or related financial systems.
Strong troubleshooting experience across applications, databases, infrastructure, integrations, and operational workflows.
Experience with .NET, Python, SQL Server, enterprise messaging platforms, and scripting technologies such as Python or PowerShell.
Working knowledge of Linux and Windows administration.
Relevant college degree or equivalent professional experience.
Experience with DevOps, CI/CD, observability, SRE practices, AWS, Azure, Kubernetes, Kafka, Snowflake, or Tableau (preferred).