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# Cloud Platform Engineer

- **Company:** Citadel LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing, Computer Programming, Linux, Distributed Systems, Python (Programming Language), Networking Basics, Computer Networking Systems, Google Cloud, Cloud Platform System, Build Management, Information Technology, Deployment Automation, Golang
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/51c3fb2c-d461-4eee-a166-363edab34bc1

## About the Role

* Bachelor's degree in Computer Science or a related field
 * 3+ years of professional experience building and operating large-scale cloud infrastructure, distributed systems, or platform services

 * Strong programming skills in Go, Python, C++, or similar languages, with a demonstrated ability to build production software

 * Experience developing cloud-native systems and infrastructure on platforms such as Google Cloud Platform, AWS, or Azure (Google Cloud Platform experience is a plus)

 * Strong understanding of distributed systems, Linux, networking fundamentals, and large-scale production systems

## Description

Citadel Securities is seeking an exceptional Cloud Platform Engineer to join our Research Platform Engineering team in Miami or New York. Our team develops and operates the cloud platforms, distributed systems, and infrastructure that power research, simulations, AI workloads, and data-intensive applications across the firm. We build the services and abstractions that allow researchers and engineers to efficiently leverage large-scale compute, storage, and cloud resources. This role is focused on building scalable, reliable infrastructure and platform services that improve the efficiency, usability, and performance of some of the firm's most critical systems., * Design and build cloud-native platform services and distributed systems supporting research, AI, and data-intensive workloads

 * Build abstractions, APIs, and automation that simplify cloud resource management for researchers and engineers

 * Design and operate large-scale compute, storage, and networking infrastructure across cloud environments
 * Improve observability, performance, resiliency, and operational excellence across critical infrastructure platforms
 * Collaborate closely with researchers and engineers to translate requirements into scalable production systems
 * Contribute to platform architecture, deployment automation, and infrastructure lifecycle management


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