DevOps Engineer (USA)

Posted 6 Days Ago
Stamford, CT, USA
In-Office
Junior
Machine Learning • Business Intelligence
The Role
Build and scale automation, tooling, and deployment pipelines for research and trading platforms. Manage Kubernetes environments, design CI/CD pipelines, automate configuration and provisioning, maintain observability (monitoring, logging), develop internal tooling, collaborate with Linux systems engineers, and document operational best practices.
Summary Generated by Built In

We are seeking a DevOps Engineer to build, manage, and scale the automation, tooling, and delivery pipelines supporting our research and trading platforms. You will work closely with the Systems team to refine deployment workflows, maintain internal operational tools, and expand our capabilities.

Responsibilities

  • Container Orchestration: Manage and optimize Kubernetes environments and workload deployments.
  • CI/CD Pipeline Engineering: Design, build, and maintain deployment pipelines to support diverse technical workloads.
  • Deployment & Configuration: Implement automated configuration strategies to standardize operational practices and improve delivery speed.
  • Tooling & Enablement: Develop internal tools and automation that simplify infrastructure provisioning, monitoring, and management.
  • Cross-Functional Collaboration: Partner closely with Linux Systems Engineers and internal technical stakeholders to align delivery pipelines with operational goals.
  • Operations & Best Practices: Maintain observability tooling (monitoring, logging) and author technical documentation to establish scalable best practices.

Requirements
  • 2+ years of experience in a DevOps, Infrastructure, or SRE role within a Linux-centric environment.
  • Strong hands-on experience with Kubernetes management and deployment strategies.
  • Proven experience building and scaling CI/CD pipelines (e.g., GitLab CI or similar tools).
  • Proficiency with Linux system administration, shell scripting, and configuration-driven tooling.
  • Familiarity with observability platforms (e.g., Prometheus, Grafana, ELK stack).
  • Ability to collaborate effectively across technical teams in a fast-paced environment.
  • Preferred: Prior experience supporting quantitative research, trading platforms, or high-performance computing (HPC) environments.

Benefits
  • Competitive salary plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment.
  • PPO Health, dental and vision insurance premiums fully covered for you and your. dependents.
  • Pre-tax commuter benefits.
  • Weekly company meals

Trexquant is an Equal Opportunity Employer

Skills Required

  • 2+ years of experience in a DevOps, Infrastructure, or SRE role within a Linux-centric environment.
  • Strong hands-on experience with Kubernetes management and deployment strategies.
  • Proven experience building and scaling CI/CD pipelines (e.g., GitLab CI or similar tools).
  • Proficiency with Linux system administration, shell scripting, and configuration-driven tooling.
  • Familiarity with observability platforms (e.g., Prometheus, Grafana, ELK stack).
  • Ability to collaborate effectively across technical teams in a fast-paced environment.
  • Prior experience supporting quantitative research, trading platforms, or high-performance computing (HPC) environments.
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The Company
HQ: Stamford, CT
67 Employees
Year Founded: 2012

What We Do

Being a quantitative finance firm that uses Machine Learning (ML) to create multi-asset portfolios and seek profit from the market, Trexquant has continuously improved its investment and research platform since starting operations, leveraging new and emerging technologies. Trexquant uses rigorous quantitative methods to create multi-asset portfolios in global markets. To do this, Trexquant develops trading signals using its vast and continuously growing collection of data variables used as inputs for more complex trading models called Strategies. The result is an ever-growing and adapting engine built from thousands of intricate models and tens of thousands of signals, tailor-made with the goal to outperform the market during any condition. Capital is managed across 5,500+ cash equity positions across the United States, Europe, Japan, Australia, and Canada.

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