Tower Research Capital

Infrastructure Engineer

New York, New York, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Enterprise SoftwareIndustries

Job Description

Position Overview

  • Location Type: OnSite
  • Employment Type: FullTime
  • Salary: (Not provided)

This role involves managing servers and network connectivity across global data centers and public clouds, with a focus on automation, optimization, and supporting global offices.

Requirements

  • Education: Bachelor’s degree or higher in computer science or a related technical area.
  • Linux Experience: Advanced experience in a major distribution of Linux operating system.
  • Cloud Platform Experience: Advanced experience in at least one public cloud platform.
  • Automation Skills: Advanced experience in infrastructure automation using Python and Bash.
  • Windows & Microsoft Ecosystem: Experience in Windows operating system, Active Directory infrastructure, and other products in the Microsoft ecosystem on an administrative role.
  • Project Management: Ability to manage multiple projects efficiently.
  • Communication Skills: Strong verbal and written communication skills in English.
  • Availability: Ability to work on an on-call schedule.

Responsibilities

  • Manage servers in global data centers and public clouds.
  • Manage network connectivity for global data centers in colocations and public clouds.
  • Automate and optimize a wide range of technical infrastructure.
  • Research and implement latest technologies to bring company IT infrastructure to the next level.
  • Collaborate with internal teams and external partners to plan and implement infrastructure or related projects.
  • Provide enterprise IT support for global offices.

Additional Qualifications (Plus)

  • Relevant IT engineering and operation experience in the financial industry.
  • Experience in High Performance Computing and enterprise storage.
  • Familiarity with global financial markets and trading infrastructure.

Company Information

  • (Not provided)

Skills

Linux
Python
Bash
Windows
Active Directory
Infrastructure Automation
Network Connectivity
Server Management

Tower Research Capital

High-frequency trading and technology solutions

About Tower Research Capital

Tower Research Capital operates in the financial markets by providing high-frequency trading services. The company uses advanced technology and algorithms to execute trades at very high speeds, allowing it to take advantage of small price discrepancies in the market. Its main clients are institutional investors, hedge funds, and other financial entities that need fast and reliable trading solutions. Tower Research Capital's business model focuses on generating profits through proprietary trading strategies and executing a large volume of trades with minimal delay. The company continually invests in research and development to stay ahead of its competitors in the high-frequency trading industry.

New York City, New YorkHeadquarters
1998Year Founded
$60MTotal Funding
VENTURE_UNKNOWNCompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

5 weeks of paid vacation per year
401(k) with company matching
Free meals and snacks
Reimbursement for health and wellness expenses

Risks

Talent drain to competitors may impact Tower's competitive edge in high-frequency trading.
Increased competition from new trading platforms could challenge Tower's market share.
Diversification into ventures like Sporttrade might divert focus from core trading activities.

Differentiation

Tower Research Capital excels in high-frequency trading with advanced algorithms and technology.
The firm offers rapid and reliable trading solutions for institutional investors and hedge funds.
Tower Research Capital continuously invests in R&D to maintain its competitive edge.

Upsides

Increased focus on AI-driven trading strategies enhances Tower's algorithmic capabilities.
Tower's investment in blockchain technology improves transaction speed and security.
Collaboration with academic institutions boosts algorithm development and innovation.

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