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Deploys and maintains cloud infrastructure using Kubernetes, AWS, and CI/CD pipelines in a distributed environment.
Maintains and deploys cloud and on-prem tools (Kubernetes, GitLab, AWS) and automates infrastructure with Terraform/Ansible for a quantitative trading firm.
Builds and maintains data pipelines to feed quantitative research and trading models using Python.
Build cloud-native Python apps for market data dashboards, risk analytics, and backtesting frameworks while collaborating with researchers and traders.
Build and maintain a data platform for quant research and backtesting using Python, Airflow, and AWS to process market and reference data.
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Build and operate Kubernetes and AWS infrastructure for an AI-powered quantitative trading platform, focusing on reliability, security, and scalability for model serving and developer tooling.
Builds and operates the Kubernetes and AWS infrastructure that powers an internal AI platform, collaborating with AI engineers and researchers.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Build and maintain scalable data infrastructure and pipelines using Kubernetes, AWS, and IaC to ensure reliable production systems.
Designs, builds, and maintains scalable cloud infrastructure for research and trading systems using AWS services like EC2 and EKS, while automating deployment pipelines.
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