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Key skills for this role
• 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
• 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 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.
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
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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
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 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.
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 .
Private global market maker providing liquidity and trade execution to institutional and retail investors.
Visit company websiteJobs and hiring trendsUSD 175000-350000 yearly / year
Full-time
Mid · 3+ years experience
Onsite
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