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Two Sigma

Quantitative finance firm building predictive models

Kubernetes Tech Lead

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • 6–8 years of overall experience in Kubernetes/container orchestration or related infrastructure engineering, including 2–3 years in a strategic technical lead role.
  • A BS in Computer Science or a related field, or equivalent practical experience.
  • Deep Kubernetes and container orchestration expertise, including Kubernetes internals and the cloud-native ecosystem, with proven experience managing on-premise and cloud-based Kubernetes offerings.
  • Cloud platform experience is required; GCP is preferred, and familiarity with AWS or Azure is valuable.
  • Software engineering proficiency, preferably in one or more of Go, Java, and Python.
  • Software architecture and system design experience, with the ability to drive complex, multi-system technical strategy.
  • GitOps and Infrastructure-as-Code experience, such as Argo CD or Terraform.
  • Experience with CI/CD pipelines.
  • Ability to provide thought leadership and strategic direction while balancing long-term platform goals with immediate business needs.
  • Written and verbal communication skills and ability to collaborate effectively across cross-functional teams and stakeholders.

Responsibilities

  • Own the architecture, reliability, and long-term roadmap of the Kubernetes and container orchestration platform, both on-premise and in the cloud.
  • Manage day-to-day operations, monitoring, and troubleshooting to ensure high availability and performance of managed Kubernetes offerings.
  • Lead complex, multi-system technical strategy that balances enabling novel, high-value use cases against strategic investments that reduce KTLO burden and keep the platform operating safely at scale.
  • Design and build software components in Go, Java, and/or Python to extend and harden the platform.
  • Drive decisions on Kubernetes internals and the broader cloud-native ecosystem as they affect trading systems, services, and data pipelines.
  • Stay current on industry trends and translate them into pragmatic, effective solutions that balance industry standards with business needs.
  • Mentor engineers and help set technical direction and standards for the platform.

Desired Qualifications

  • GCP experience is preferred.
  • Familiarity with AWS or Azure is valuable.
  • Proficiency in one or more of Go, Java, and Python is preferred.

About the Company

Two Sigma

Quantitative finance firm building predictive models

Two Sigma is a financial sciences firm that uses data analysis, rigorous inquiry, and invention to tackle complex problems in investment management, securities, private equity, insurance technology, and venture capital. Its product approach centers on building sophisticated predictive models powered by extraordinary computing power and vast data. Modelers and engineers test ideas with information and iterative improvement to drive progress. Compared with many peers, Two Sigma differentiates itself through a data-driven, model-centric investment process that relies on large-scale computing and extensive datasets rather than relying on traditional methods alone. The company aims to solve the toughest challenges in its fields and advance investment outcomes by continuously refining predictive models through experimentation.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$378.2M
Headquarters
New York City, New York
Founded
2001

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