---
title: 'Junior SRE at Squarepoint Capital'
canonical: 'https://feeny.ai/job/junior-sre-squarepoint-capital-new-york-dwtav14ehspd'
type: 'job'
last_seen: '2026-09-08'
---

# Junior SRE at Squarepoint Capital

- **Company:** Squarepoint Capital
- **Location:** New York, NY
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-08
- **Apply:** https://www.squarepoint-capital.com/open-opportunities?id=6380892&gh_jid=6380892

## Job description

Position Overview:

This is a Full‑time Junior Software Engineering position for candidates early in their career who are interested in infrastructure, systems, and machine learning platforms at scale.

As a Junior Engineer, you will contribute to production ML/HPC infrastructure, working alongside experienced engineers and quantitative researchers. You will gradually take ownership of components and features, learn how large‑scale systems are designed and operated in practice, and contribute production‑quality code that directly supports research and trading workloads.

This role is designed to offer strong mentorship while encouraging increasing autonomy and technical ownership over time.

As part of the team, you will work on some of the following:

- Design, implement, and maintain data pipelines for machine learning training and inference.
- Develop and improve workflow orchestration and infrastructure components (e.g. scheduling, resource allocation, data movement, filesystems).
- Analyze and improve performance and scalability of systems and critical code paths.
- Improve the reliability, observability, and usability of ML or HPC platforms.
- Collaborate with quantitative researchers and developers to understand requirements and translate them into robust technical solutions.
- The opportunity to work on production‑grade ML and HPC infrastructure at scale.
- Strong mentorship and technical guidance from experienced engineers.
- Gradual ownership of meaningful systems and components.
- Exposure to real‑world performance, scalability, and reliability challenges.
- Close collaboration with quantitative researchers and developers.

You will be expected to learn existing systems, contribute independently to ongoing work, and progressively take ownership of well‑defined areas of the platform with support from more senior engineers.

Required Qualifications

- A degree (BSc or MSc) in Computer Science, Engineering, Applied Mathematics, or a related field, or equivalent practical experience.
- Strong foundations in computer science (e.g. algorithms, data structures, operating systems, distributed systems).
- Experience developing software in at least one language such as Python, C++, or Rust.
- Familiarity with writing, testing, and maintaining production‑quality code.
- Ability to reason clearly about technical problems and communicate effectively with teammates.
- Interest in infrastructure, performance, and large‑scale systems.
- Exposure to machine learning workflows, data engineering, or ML platforms.
- Experience working in Linux environments.
- Introductory knowledge of distributed systems, HPC, or cloud platforms for CPU and GPU workloads.
- Experience with profiling, benchmarking, or performance analysis.

Additional Qualifications (Nice to Have)

- Familiarity with CUDA or other GPU development frameworks.

The minimum base salary for this role is $150,000 if located in New York.  This expectation is based on available information at the time of posting.  This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.  This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.  Successful candidates’ compensation and benefits will be determined in consideration of various factors.

## About Squarepoint Capital

## Company Overview
- **One-liner**: Squarepoint Capital is a leading global quantitative investment manager that uses a rigorous scientific approach and state-of-the-art technology to construct diversified, systematic strategies for institutional clients.
- **Entity Type**: Private (no disclosed external funding; spun out from Barclays in 2014)
- **Headquarters**: New York, New York, United States
- **Founded**: 2014 (as an independent firm; the underlying business, nQuant, dates back to 2000 within Lehman Brothers and later Barclays)
- **Founders**: Led by four founding partners (names not publicly disclosed); the original founders of nQuant continue to lead Squarepoint today.

## Core Business
- **Primary industry**: Financial Services – Quantitative Investment Management
- **Target customers**: Institutional investors (B2B)
- **Mission / Purpose**: “Achieving high quality returns for our clients” through a systematic, diversified, and research-driven investment platform.

## Products & Services
- **Quantitative Investment Strategies**: A diversified portfolio of systematic strategies spanning multiple asset classes (equities, fixed income, currencies, commodities), trading frequencies (high-frequency to long-term), and global markets. The majority of investments are based on rigorous backtesting on historical data.
- **Technology & Data Platform**: A custom, nimble, and forward-looking software stack that enables seamless integration between research and trading, executing millions of trades per day. Includes low-latency trading systems and a world-class data infrastructure.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: Annual revenue is not publicly disclosed (LinkedIn estimates ~$12M, but this likely underrepresents a firm of this scale; the figure should be treated with caution). The firm is privately held and does not report earnings.
- **Notable Investors / Partners**: No external investors; the firm is privately held by its founding partners. Alumni frequently move to top quant funds and tech companies (e.g., Millennium, Citadel, Qube Research & Technologies, Google, Jump Trading).
- **Growth Signals**: Headcount grew 33.9% year-over-year to approximately 1,801 employees (LinkedIn, 2025). The firm operates 17 offices across 8 countries and is actively hiring across technical, research, and finance roles.

## Competitive Advantages
- **Deep heritage**: The team’s quantitative roots trace back to 2000, with a proven track record through multiple market cycles.
- **Scientific rigor**: A disciplined, research-first approach that relies on backtesting and systematic execution rather than discretionary bets.
- **Scale and technology**: Executes millions of trades daily using a highly custom, low-latency platform developed in-house.
- **Global diversification**: Strategies span asset classes, geographies, and trading frequencies, reducing reliance on any single market or style.
- **Culture of ownership**: Privately held and led by its founding partners, fostering long-term thinking and accountability.

## Strategic Focus
- **Diversification**: Continuously expanding into new asset classes, trading frequencies, and geographies.
- **Technology investment**: Ongoing development of proprietary software and data infrastructure to maintain a competitive edge in research and execution.
- **Talent acquisition**: Aggressively hiring quantitative researchers, software engineers (C++, Python), platform engineers, and operations specialists across global offices.

## Why Work Here
- **Culture**: Collaboration across teams, a flat structure with a strong sense of ownership and accountability, and a focus on intellectual curiosity.
- **Work environment**: In-office for most roles (offices in New York, Boston, London, Paris, Singapore, Bangalore, etc.). Some roles offer a remote work program, but the majority require physical presence.
- **Benefits**: Generous parental leave, health insurance (medical, dental, vision), 401(K) matching, disability and life insurance, paid sick days, generous PTO, paid volunteer time, free snacks and drinks. Offices are designed for in-person collaboration.
- **Engineering culture**: Technology is considered core to the business; engineers work closely with quantitative researchers to build and optimize trading systems. Emphasis on C++, Python, Kubernetes, and low-latency systems.
- **Growth trajectory**: Rapid headcount growth and a global footprint offer opportunities for career advancement and international mobility.

## Sources
1. [squarepoint-capital.com](https://www.squarepoint-capital.com/)
2. [squarepoint-capital.com/about](https://squarepoint-capital.com/about)
3. [linkedin.com/company/squarepoint-capital](https://ca.linkedin.com/company/squarepoint-capital)
4. [builtin.com/company/squarepoint-capital](https://builtin.com/company/squarepoint-capital)
5. [job-boards.greenhouse.io/squarepointcapital](https://job-boards.greenhouse.io/squarepointcapital)

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