Cloud Platform Engineer

Citadel Securities; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

Citadel Securities is seeking a Cloud Platform Engineer for its Research Platform Engineering team based in New York or Miami. The role focuses on developing cloud-native services and infrastructure that enhances research capabilities across the firm.

The ideal candidate will have a Bachelor's degree in Computer Science and over 3 years of experience building large-scale cloud systems. Strong programming skills in Go, Python, or C++ are essential, along with experience in Kubernetes and cloud platforms like GCP or AWS.

Qualifications

• 3+ years of experience with large-scale cloud infrastructure.
• Strong programming skills in Go, Python, or C++.
• Experience with Kubernetes or modern platform engineering practices.

Responsibilities

• Design and build cloud-native platform services.
• Build APIs and automation for cloud resource management.
• Collaborate with researchers to translate requirements.

Skills

Cloud-native system development

Programming in Go, Python, or C++

Kubernetes, container orchestration

Infrastructure automation

Education

Bachelor's degree in Computer Science or related field

Tools

GCP

AWS

Azure

Job 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.

Locations

New York, Miami

Responsibilities

• 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

Qualifications

• 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 GCP, AWS, or Azure (GCP experience is a plus)
• Strong understanding of distributed systems, Linux, networking fundamentals, and large-scale production systems
• Experience with Kubernetes, container orchestration, infrastructure automation, or modern platform engineering practices