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# Platform Engineer

- **Company:** Citadel LLC
- **Location:** Miami, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Software Applications, Microsoft Azure, Big Data, C++ (Programming Language), Computer Programming, Data Systems, Distributed Data Store, Distributed Systems, Systems Theories, Python (Programming Language), Software Engineering, Google Cloud, Apache Spark, Backend, Build Management, Kubernetes, Information Technology, Apache Kafka
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/f4f22289-7042-4da0-930b-df665fc44d2e

## About the Role

* 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, Google Cloud Platform, Azure) and modern infrastructure technologies
 * Experience with technologies such as Kafka, Kubernetes, Spark, Airflow, distributed databases, or similar systems is a plus

## Description

* 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