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Endpoint Engineer - macOS at Hudson River Trading · Katori

Hudson River Trading (HRT) is seeking an Endpoint Engineer to join our Enterprise Technology team. In this role, you will serve as a macOS subject matter expert in a complex, highly technical environment, helping to solve HRT-specific endpoint challenges and improve the day-to-day experience for users across the firm.

You will support a team of technicians, act as an escalation point for macOS engineering, security, and deployment issues, and design solutions that improve endpoint uptime, reliability, and productivity. This is a high-impact opportunity for someone who enjoys combining hands-on troubleshooting with long-term systems thinking in order to deliver visible improvements at scale.

Responsibilities

Create and maintain a best-in-class end user computing experience
Troubleshoot day-to-day issues with a hands-on approach. You’ll be the escalation point for macOS engineering, security, and deployment-related issues across HRT
Investigate recurring problems, provide long-term solutions to prevent them from happening again, and maintain clear documentation for future reference
Research, test, and implement best practices for our technical stack and processes
Educate technical and non-technical end users on best practices and help improve adoption of effective workflows and tools

Qualifications

Deep knowledge and experience with macOS
Experience provisioning, deploying, and maintaining macOS endpoints using Apple Business (AB) and Mobile Device Management (MDM) such as Jamf Pro, Workspace One, or Microsoft Intune
Experience with macOS packaging and deployment tools such as AutoPkg and Munki
Proficiency with Bash or Python
Familiarity with enterprise networking, including 802.1X, Wi-Fi, and IPv4
Experience working with collaboration tools, conferencing systems, remote IT tools, and ticketing systems
A collaborative, can-do mindset and willingness to support others across the team
Ability to effectively communicate in technical and non-technical language, and translate information into comprehendible documentation and requirements company-wide
Ability to empathize with the end-user and swiftly craft solutions under pressure
Nice to have: experience with osquery, Salt, or iOS management

The estimated base salary range for this position is 150,000 to 225,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools by an applicant during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used by an applicant during an interview or an assessment, we reserve the right to immediately end the interview or assessment, disqualify the applicant’s candidacy and/or rescind any job offers extended.

You can review our Global Applicant Privacy Notice, which explains how we process applicant information.

Endpoint Engineer - macOS

Endpoint Engineer - macOS

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