DevOps Engineer Cloud (HFT)

Location: Mumbai | Experience: 4 Years

About the Role:

Join a leading HFT and algorithmic trading team to build and manage high-performance cloud infrastructure supporting low-latency trading systems. Work closely with traders, quantitative researchers, and software engineers to optimize cloud performance, reliability, and cost efficiency.

Key Responsibilities:

- Design and manage scalable AWS/GCP cloud infrastructure for HFT platforms.
- Optimize cloud costs using Spot Instances, Savings Plans, and Graviton.
- Build automation using Python, Bash, and Infrastructure as Code.
- Manage Docker, Kubernetes, databases, monitoring, and logging platforms.
- Develop real-time monitoring dashboards using Grafana, Prometheus, and ELK.
- Ensure highly available,



secure, and low-latency infrastructure for trading applications.

Required Skills:

- 4 years of AWS/GCP Cloud & DevOps experience
- Python, Bash, Terraform, Docker, Kubernetes
- PostgreSQL/MySQL/NoSQL
- Grafana, Prometheus, ELK
- Linux, CI/CD, Infrastructure Automation
- Experience in Financial Markets, HFT, MFT, or Algorithmic Trading is preferred.

Prospect:

- Opportunity to work on cutting-edge HFT infrastructure, cloud platforms, and low-latency trading technology alongside experienced traders, quants, and engineers.

📌 DevOps Engineer (India)
🏢 HFT Talent
📍 India