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описание
The client is a quantitative and systematic hedge fund. Its globally distributed quantitative research and engineering organization builds cloud platforms for large-scale modelling, complex data analysis, and high-throughput experimentation.
задачи
Design and deploy tailored AWS architectures for high-performance modelling, experimental workloads, and large-scale compute pipelines
Collaborate with research, engineering, and data teams to build flexible, secure, and scalable cloud environments for demanding analytical requirements
Ensure reliability, availability, and performance across compute, storage, orchestration, and monitoring layers
Automate cloud provisioning, configuration, and observability using IaC and DevOps practices to accelerate development cycles
Refine and optimise cloud systems for scalability, cost-efficiency, operational simplicity, and long-term platform evolution
требования
Experience in cloud engineering or architecture, with strong hands-on expertise in AWS in finance or technology
Deep understanding of AWS services for container orchestration, compute, storage, networking, monitoring, and identity and security
Ability to design secure, resilient, and highly available cloud platforms for data-intensive or compute-heavy environments
Familiarity with DevOps and IaC tooling such as Terraform, containerisation, Kubernetes, and modern cloud-native patterns
Strong troubleshooting, communication, and cross-team collaboration skills; ability to work confidently in fast-paced technical environments
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