Compute Engineering Lead — On-Prem & Kubernetes Scale

Balyasny Asset Management L.P.

New York (NY)

On-site

USD 190,000 - 260,000

Full time

14 days+
Application generator

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Job summary

Balyasny Asset Management L.P. seeks a Compute Engineering Lead to own the on-premises compute infrastructure.

You will be a senior hands-on leader, responsible for architecture, implementation and governance, working with Portfolio Managers and business stakeholders to empower efficient use of compute resources. You will lead a team to scale and harden the platform, integrate open and closed source solutions, and participate in on-call rotations to ensure reliability and performance for

Qualifications

  • 10+ years hands-on experience with large-scale compute environments.
  • 5+ years people management experience.
  • Expert knowledge of Kubernetes from the infrastructure and application viewpoints.
  • Experience managing bare metal compute at scale.
  • IP network performance tuning and routing experience.
  • Comfortable writing Python.
  • Experience with disaster recovery and business continuity planning.

Responsibilities

  • Be the hands-on manager and leader of compute infrastructure.
  • Scale and harden our compute infrastructure to provide a robust and resilient environment for researchers and investment professionals.
  • Leverage both open and closed source software solutions.
  • Partner with application developers across the firm and enable their success.
  • Participate in on-call rotation and maintenance.

Skills

Kubernetes
Python
Low latency environments
Large-scale compute
Bare metal compute
Network performance tuning
Disaster recovery planning
People management

Job description

Balyasny Asset Management L.P. seeks a Compute Engineering Lead to own the on-premises compute infrastructure.

You will be a senior hands-on leader, responsible for architecture, implementation and governance, working with Portfolio Managers and business stakeholders to empower efficient use of compute resources. You will lead a team to scale and harden the platform, integrate open and closed source solutions, and participate in on-call rotations to ensure reliability and performance for

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