Sobre esta vaga de Software Engineer - Enterprise Technology na Hudson River Trading
Hudson River Trading (HRT) is seeking a Software Engineer to join our Enterprise Engineering team in New York City. In this role, you will build the tools and systems that help every HRTer work more effectively. The team owns core platforms used across the firm, including: Google Workspace, Slack, Okta, internal knowledge and project management systems, and the many in-house and third-party services that connect them.
The best internal tooling is invisible, removing friction before users notice it. As HRTers move faster and faster, our quest to eliminate friction from the platforms that everyone interacts with every day only becomes more critical. You will design and write systems that extend these platforms, create new interfaces for key functions like search and access management, and integrate emerging AI tools into the whole ecosystem. This is a hands-on engineering role with the freedom to improve existing systems or build entirely new solutions when needed.
Responsibilities
- Design, develop, and maintain robust, efficient, and scalable software systems
- Contribute to all phases of the software development lifecycle from ideation to deployment and support
- Deliver exceptional experiences for internal users by understanding their needs and applying your technical skills to efficiently meet them
- Find, enhance, or build the best productivity and collaboration systems that allow HRTers to excel at their work
- Glue a variety of in-house and third-party systems together, customizing an ecosystem for HRT’s highly specific needs
- Build seamless tooling that proactively removes friction and solves problems before users need to escalate them
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Preparedness for technical interviews in Python
- Experience with identity and access management or productivity software is a plus
- Kindness, empathy, and strong collaboration skills
- Strong understanding of data structures, algorithms, and design principles, and a willingness to teach and mentor others
- Excellent written and verbal communication skills
- Strong judgment and a demonstrated ability to deploy software and features thoughtfully, methodically, and reliably
The estimated base salary range for this position is 150,000 to 250,000 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 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 during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.
