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Platform Engineer

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Citadel Securities
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Citadel Securities is seeking an exceptional Platform Engineer to join our Research Platform Engineering team in Miami, Zurich or New York. Our Research Platform teams are at the forefront of designing and developing the distributed systems, data platforms, and research infrastructure that power large-scale simulations, analytics, and model development across the firm. These systems are critical in allowing researchers to transform data into actionable insights and alpha-generating trading strategies.

Locations

Miami, Zurich or New York.

Responsibilities
  • Design and build distributed platforms and services that support quantitative research, simulations, AI-powered applications, and large-scale analytics workflows
  • Develop scalable platform services and data systems for ingestion, transformation, storage, and lifecycle management of large datasets
  • Build and maintain backend services, APIs, and SDKs that improve researcher productivity and self-service capabilities
  • Improve performance, reliability, and scalability of critical research systems operating in high-throughput environments
  • Collaborate closely with researchers and engineers to translate research requirements into production-read systems
Qualifications
  • Bachelor’s degree in Computer Science or a related field
  • 3+ years of professional software engineering experience
  • Strong programming skills in Python, Go, or C++, or similar systems-oriented languages
  • Experience building and operating distributed systems in production environments
  • Experience designing scalable backend services, APIs, and data-intensive applications
  • Strong understanding of distributed systems, data-intensive applications, and system design fundamentals
  • Experience with cloud platforms (AWS, GCP, Azure) and modern infrastructure technologies
  • Experience with technologies such as Kafka, Kubernetes, Spark, Airflow, distributed databases, or similar systems is a plus
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