Design, build, and operate cloud-native platform services and distributed systems to support research, AI, and data-intensive workloads. Create abstractions, APIs, and automation for cloud resource management; manage large-scale compute, storage, and networking; improve observability, performance, and resiliency; collaborate with researchers to deliver scalable production systems.
Job Description
Role Overview:
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.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
Responsibilities:
Qualifications:
In accordance with applicable law, the base salary range for this role is $175,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Role Overview:
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.
Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available.
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
In accordance with applicable law, the base salary range for this role is $175,000 to $350,000.
In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.
About Citadel Securities
Citadel Securities is a technology-driven, next-generation global market maker. We provide institutional and retail investors with world-class liquidity, competitive pricing and seamless front-to-back execution in a broad array of financial products. Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market's and our clients' most critical challenges. Together, we are forging the future of capital markets. For more information, visit citadelsecurities.com .
Citadel Securities New York, New York, USA Office
425 Park Avenue, New York, NY, United States, 10022
Similar Jobs at Citadel Securities
Information Technology • Software • Financial Services • Quantitative Trading
Design, train, and deploy deep-learning models that predict market prices; build tooling and large-scale ML systems to enable firm-wide ML adoption; simulate trading decisions and integrate model predictions into production trading systems.
Top Skills:
Claude CodeCursorDistributed TrainingFoundation ModelsGpusJaxLarge-Scale Data PipelinesLlm AgentsPreference OptimizationPyTorchReinforcement LearningSupervised Fine-TuningTpusTransformer Architectures
Information Technology • Software • Financial Services • Quantitative Trading
As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.
Top Skills:
C++CudaPython
Information Technology • Software • Financial Services • Quantitative Trading
Analyze complex datasets, build predictive models, and communicate findings to stakeholders while collaborating with data engineers and quantitative researchers.
Top Skills:
GCPKafkaPandasPythonRScikit-LearnSparkSQLTableauTensorFlow
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
