Senior Software Engineer, Platform Engineering – Identity

Balyasny Asset Management L.P.; New York (NY); On-site; USD 190,000 - 230,000; Full time

Job summary

Balyasny Asset Management L.P. is seeking a platform engineer to design, build, and maintain authentication and authorization systems that support our live trading research and engineering teams.

This role emphasizes low latency, high availability, and scalable solutions, with deep collaboration across InfoSec, Infrastructure, and Applied AI teams. You will work with Go and Python, develop real-time services handling millions of requests, and contribute to SDKs, tools, and documentation that

Qualifications

• 10+ years of hands-on software delivery experience.
• Strong Go and Python development skills.
• Deep knowledge of modern authentication/authorization (OAuth 2.0, JWT, SpiceDB, OpenFGA).
• Experience with distributed high-throughput systems and Kubernetes.

Responsibilities

• Architect, build, and maintain authentication and authorization systems across research and live trading platforms.
• Ensure low latency, high availability, and scalability of critical auth services.
• Collaborate with InfoSec, Infrastructure and AI teams; participate in on-call incident response.

Skills

Go

Python

OAuth 2.0

JWT

SpiceDB

OpenFGA

Kubernetes

Distributed systems

SRE/DevOps

On-call

Education

Bachelor's degree in engineering/computer science

Job description

Platform Engineering owns the end-to-end experience of how engineers, investment teams and researchers at Balyasny build, test, ship and run software at scale - from source control and authentication systems that underpin our live trading environments, to the platforms that keep tens of thousands of builds, applications and tasks running reliably across compute providers, and developer acceleration tooling that deeply integrates across engineering workflows.

The primary focus of this role is to design, build and maintain critical authentication and authorization systems that underpin all processes and services across research and live trading. Low latency, high availability, performance, and scalability are important factors of the system design in this space. This role will involve deep partnership and collaboration across InfoSec, Infrastructure and Applied AI teams.

Key Responsibilities

• Architect, build, and maintain bespoke authentication and authorization software and platform solutions leveraged across the live trading stack, with a focus on scalability, reliability, and performance.
• Develop solutions that enable identity and access software for human, non-human, agentic and workload identities.
• Manage and build real-time systems with tens of millions of requests per day.
• Develop tools and platforms that leverage LLMs, code generation and intelligent agents to streamline code delivery, testing and deployment.
• Contribute to technology-wide engineering standards, frameworks and utilities to drive efficiency and standardization of technology solutions across the estate.
• Deliver SDKs, clients, frameworks and documentation to ensure developers across the firm are able to self-serve the platforms and solutions that we deliver.
• Champion SRE and DevOps best practices -including observability, automation, CI/CD, and infrastructure as code -across cloud and on-premises environments.
• Participate in on-call rotation and incident response, sharing responsibility for production reliability.

To be considered a good fit, you must have:

• 10+ years, hands-on experience architecting and delivering production-ready software
• Bachelor's degree in engineering, computer science, information systems, or equivalent experience
• Strong software development experience with Go and Python
• Strong understanding of modern authentication and authorization systems (e.g OAuth 2.0, JWT, SpiceDB, OpenFGA)
• Understanding of workload identities, human identities and non-human identities
• Experience working with distributed high throughput systems
• Experience working with containers and Kubernetes
• Experience working with agentic AI SDKs and tooling
• Detailed communication and documentation skills - ability to represent ideas, requirements, reference architecture and problems in clear, concise, and business-friendly documents