Platform Engineer

Citadel Securities; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

Citadel Securities is looking for a Platform Engineer to join their Research Platform Engineering team. The role, based in New York, involves designing distributed systems and data platforms that facilitate large-scale analytics and research.

The ideal candidate will have over 3 years of software engineering experience, a degree in Computer Science, and proficiency in programming languages such as Python, Go, or C++. Familiarity with cloud technologies and distributed systems is essential.

Qualifications

• 3+ years of professional software engineering experience.
• Strong programming skills in relevant languages.
• Experience with cloud platforms such as AWS, GCP, or Azure.

Responsibilities

• Design and build distributed platforms for quantitative research.
• Develop scalable platform services for dataset management.
• Collaborate with researchers to enhance production-ready systems.

Skills

Programming skills in Python, Go, or C++

Experience with distributed systems

Understanding of system design fundamentals

Experience with cloud platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

Kafka

Kubernetes

Spark

Airflow

Job description

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