Senior Cloud Engineer
This organization is a long established quantitative trading firm built on a high performance technology platform and a model of independent trading teams. With decades of experience in global markets, the firm is known for sustained innovation and the ability to identify differentiated market opportunities.
The company attracts top systematic trading and engineering talent worldwide. Portfolio managers operate with a high degree of autonomy, building strategies and teams independently while benefiting from the scale, resources, and stability of a large global platform.
Engineers contribute to world class electronic trading infrastructure, solving complex challenges across low latency systems, hardware acceleration, FPGA technology, and machine learning. Continued investment in talent and technology ensures the platform remains highly scalable, performant, and reliable.
Every employee contributes meaningfully to overall success. Business Support teams are central to building and maintaining the core platform that underpins trading and research. These teams combine market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services, enabling trading and engineering teams to operate at peak efficiency.
The environment is fast paced and results driven, with highly capable and motivated colleagues collaborating closely to achieve exceptional outcomes.
Responsibilities
* Architect and implement scalable cloud infrastructure using Infrastructure as Code tools such as Terraform
* Design high performance compute environments with optimized networking and storage
* Manage and optimize Kubernetes clusters in cloud environments
* Automate infrastructure workflows and develop complex CI CD pipelines
* Build and maintain custom cloud images
* Implement monitoring and observability for performance critical workloads
* Lead on premises to cloud and cloud to cloud migrations for HPC and distributed systems
* Collaborate with research and engineering teams to optimize compute, storage, and scheduling efficiency
Qualifications
* Bachelor's degree in Computer Science or a related field
* Five or more years of relevant experience
* Proficiency in Bash, Python, or Go for automation
* Strong expertise in HPC and distributed workloads
* Deep hands on experience with Infrastructure as Code, Linux systems, and cloud networking and storage
* Proven ability to build production grade cloud platforms for compute intensive environments
* Strong understanding of storage architectures and protocols including NFS, object, block, and distributed storage
* Experience with Terraform or equivalent tools
* Familiarity with HPC schedulers such as Slurm or HTCondor
* Experience with distributed computing frameworks such as Ray
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