Point72
Software Engineer - Data
New York, NY
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hirly's read of this role
- Role family
- Engineering
- Seniority
- Mid level
- Stated salary
- $200,000 – $300,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 1 Sept 2026
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the posting
A Career with Point72's Technology Team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you'll do
As a software engineer, you will help build the next generation of data infrastructure at the firm—thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience. As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale. Specifically, you will:
Build and maintain agentic workflows and tooling that leverage large language models
Define the service contracts, data models, and integration patterns that will serve as future firmwide standards for data access
Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm
Ensure backend systems are reliable, observable, and performant at scale
Containerize services and orchestrate workloads to ensure resilient, observable, and scalable deployments together with cloud engineers
Contribute to CI/CD pipelines, infrastructure as code, and deployment automation
What's required
Bachelor’s degree in computer science or a similar engineering field
3+ years of professional experience in software engineering roles building enterprise-grade systems
Strong programming skills in Python and experience with team development on business-critical systems
Experience with relational databases, including schema design and performance tuning
Exposure to agentic development in a commercial environment
Exposure to cloud development
Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
Fully-paid health care benefits
Generous parental and family leave policies
Volunteer opportunities
Support for employee-led affinity groups representing women, people of color and the LGBT+ community
Mental and physical wellness programs
Tuition assistance
A 401(k) savings program with an employer match and more
About Point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/ .
The annual base salary range for this role is $200,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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