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Rachel Paul Recruiting Linkedin · Posted yesterday

Senior Software Engineer

Greenwich, Connecticut, United States

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Indexed description

Who You Are:

  • A strong technical individual contributor who takes ownership of implementations and outcomes
  • Comfortable driving large, ambiguous initiatives from concept through delivery
  • Effective at mentoring and developing engineers, setting clear expectations and providing constructive feedback
  • Collaborative, thoughtful, and effective working across disciplines and geographies
  • Committed to intellectual integrity, transparency, and openness


Your Role:

As a software engineer at AQR, you will build or extend our:

  • Scalable, AWS-based storage and computing infrastructure
  • Generalized research platform
  • Data ingestion and validation engine
  • Model computation and signal generation pipeline
  • Machine learning / Natural Language Processing pipeline


What You’ll Bring:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • 7+ years of professional software engineering experience designing and delivering production software systems.
  • Experience building and deploying cloud-native applications, preferably using AWS services and modern cloud infrastructure.
  • Experience developing and optimizing large-scale data processing pipelines and working with big data technologies.
  • Experience designing, building, and operating production-scale AI/ML applications, with a strong focus on system stability, reliability, and scalability.
  • Strong understanding of software architecture, scalability, performance optimization, observability, and operational excellence for production systems.
  • Experience supporting quantitative research, alpha generation platforms, signal generation, portfolio construction, or trade generation systems is a strong plus.
  • Strong software engineering skills in Python; experience with C++ is a plus.
  • Strong Linux development and troubleshooting experience in production environments.
  • Proficiency with SQL and experience designing and optimizing data storage and retrieval for high-volume applications.
  • Demonstrated ability to work effectively in fast-paced, agile environments with evolving requirements and competing priorities.
  • Excellent communication and collaboration skills, with the ability to clearly explain technical concepts and architectural decisions across engineering teams.
  • Familiarity with financial markets, investment workflows, or time-sensitive distributed applications is a plus.


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