Location: Gurgaon (WFO)
Experience: 4-6 years
About the Company
Our client is a Gurgaon-based investment management firm specializes in developing and executing quantitative trading strategies through an automated infrastructure. Leveraging proprietary algorithms, it aims to generate superior risk-adjusted returns by identifying inefficiencies in capital markets. The firm employs a range of fund management strategies across various asset classes, focusing on opportunities with high potential for capital appreciation. With a team of professionals skilled in mathematics and computer science, the company fosters an entrepreneurial and collaborative work environment to drive innovation in systematic trading
Key Responsibilities
- Infrastructure Strategy & Design: Architect and evolve scalable, fault-tolerant
infrastructure supporting global algorithmic trading operations. - System Optimization: Continuously monitor and optimize infrastructure and systems
performance, including Linux servers and Python environments. - Incident & Risk Management: Lead incident response for live trading systems, perform
root cause analysis, and implement preventive solutions. - Automation & CI/CD: Develop, maintain, and enhance CI/CD pipelines and
infrastructure automation using tools like Ansible, Docker, Jenkins, or equivalent. - Monitoring & Alerts: Design and implement proactive monitoring, logging, and alerting
solutions to ensure high system availability. - Workflow Orchestration: Manage and optimize complex workflows using Apache
Airflow, including custom DAG development and performance tuning. - Database Management: Administer relational databases, write optimized SQL queries
for operational reporting and decision-making. - Cross-functional Collaboration: Serve as a bridge between development, QA, and
trading teams, offering operational insights and support. - Compliance & Documentation: Ensure regulatory compliance and maintain detailed
documentation of systems, configurations, and incident reports. - Mentorship: Provide technical mentorship and guidance to junior DevOps team
members.
Requirements:
- Experience: : 4–6 years in a DevOps role, ideally in fintech, trading, or high-frequency
environments. - Education: Bachelor’s degree in Computer Science or a related field.
- Advanced Linux system administration.
- Strong Python scripting and automation skills.
- Experience with infrastructure-as-code (e.g., Ansible, Terraform).
- Docker containerization and orchestration.
- CI/CD tools (e.g., Jenkins, GitLab CI).
- Strong SQL skills; experience with performance tuning
- Familiarity with Airflow, monitoring tools (Prometheus, Grafana), and log
aggregation (ELK, Loki). - Prior experience in live trading environments.
- NISM certification or exposure to trading regulations.
- Soft Skills:
- Proven leadership and team collaboration.
- Strong analytical and troubleshooting skills.
- Clear, concise communication and documentation abilities.
- High ownership mindset and a proactive approach to challenges.