Key Responsibilities:
Technical Leadership & System Architecture
Lead the end-to-end development of the trading platform ensuring scalability security and high availability.
Architect and optimize backend infrastructure for real-time algorithmic trading and large-scale data processing.
Design and implement deployment pipelines and CI/CD workflows for efficient code integration.
Introduce best practices for performance tuning system reliability and security.
Backend & Data Engineering
Own the Python-based backend ensuring efficient real-time data processing.
Work on low-latency system design to support algorithmic trading strategies.
Optimize InfluxDB & other storage solutions for handling large-scale financial data.
Implement API-driven architectures leveraging WebSocket API & RESTful API knowledge to integrate with brokers third-party data sources and trading systems.
Live Trading & Incident Management
Monitor and troubleshoot live trading systems minimizing downtime.
Handle broker communication during execution issues and API failures.
Set up automated monitoring logging and alerting for production stability.
Team & Project Management
Lead mentor and scale a distributed engineering team of 15-20 engineers.
Define tasks set deadlines and manage workflow using Zoho Projects.
Align team objectives with OKRs and drive execution.
Foster a strong engineering culture ensuring high performance and technical excellence.
DevOps & Cloud Deployment
Manage cloud infrastructure to ensure high availability.
Set up monitoring logging and automated alerting for production stability.
Oversee GitLab repositories enforcing best practices for version control.
Implement robust CI/CD pipelines to accelerate deployment cycles.
Strategic & Business Contribution (Preferred but not mandatory)
Contribute new trading strategy ideas particularly in MFT HFT and quant trading.
Understand stock markets market microstructure execution logic trading ideas.
Preferred Qualifications
7 years of hands-on experience in backend development with expertise in Python.
Proven experience leading engineering teams and delivering complex projects.
Strong knowledge of distributed systems real-time data processing and cloud computing.
Experience with DevOps CI/CD and containerized environments.
Familiarity with GitLab AWS and Linux-based cloud infrastructure.
Bonus: Knowledge of quantitative trading financial markets or algorithmic trading.