Engineering Lead – Quant Infrastructure

Fintel Research Labs Pvt Ltd; Pune District; On-site; INR 4,200,000 - 6,800,000; Full time

Job summary

Fintel Research Labs Pvt Ltd in Pune is seeking a hands-on Platform Engineering Lead to own backend architecture for PRISM, our multi-engine trading system spanning equities, derivatives, and cross-asset markets.

You will drive data ingestion, research, execution, risk, monitoring and analytics, building scalable, low-latency, event-driven infrastructures. This role demands expert system design, end-to-end delivery, and leadership across engineering, quant research, and product teams.

Qualifications

• 6–8 years coding experience in C++, Python and SQL.
• Expertise in system design and performance optimization.
• Experience building end-to-end systems for Investment companies, Trading firms, Financial Research firms or related.
• Solid understanding of API integration, Distributed systems, and backend architecture.
• Hands-on experience with AWS / Azure and on-premise servers.

Responsibilities

• Own platform architecture for data ingestion, research, execution, risk, monitoring and analytics.
• Design scalable, low-latency, fault-tolerant event-driven trading workflows.
• Review infra choices and hosting across cloud and on-prem.
• Set engineering standards for scalability, reliability, observability and security.
• Design time-series data architecture for market, trade and analytics datasets.
• Manage data quality: validation, reconciliation, lineage and remediation.
• Troubleshoot production data issues and latency spikes.
• Establish data storage, partitioning, retention and recovery plans.
• Drive monitoring, logging, observability and alerts.
• Lead RCA and incident resolution.
• Improve performance, latency and reliability.
• Lead the system engineering team.
• Drive architecture and code reviews, hiring, and roadmap planning.
• Coordinate with quant research, engineering and product.
• Design backend systems for strategy, execution and risk.
• Build and manage data pipelines (real-time + historical).

Skills

C++

Python

SQL

System design

Performance optimization

AWS

Azure

Education

B.Tech / M.Tech in Computer Science or related field

Tools

On-premise servers

Job description

Fintel Research Labs Pvt Ltd specializes in quantitative research, statistical analysis, market microstructure, and machine learning applications in finance. Our team, founded by experienced professionals in technology and capital markets, analyzes extensive financial market data to uncover patterns in liquidity, volatility, and participant behavior. Central to our research is PRISM, a sophisticated analytical framework designed to study financial markets using multilayered data and statistical tools. We are committed to leveraging computational expertise to deliver cutting-edge insights in capital markets analysis.

Engineering Lead – Quant Infrastructure

About the Role

Fintel Research Labs (FRL) is building a research-driven, multi-engine trading system (PRISM) across equities, derivatives, and cross-asset markets.

We focus on systematic trading, data infrastructure, and robust execution systems at institutional scale. We’re hiring a hands-on Platform Engineering Lead to own backend architecture, data systems, and end-to-end integration of our investment platform.

What You’ll Do

• Own overall platform architecture across data ingestion, research, execution, risk, monitoring, and analytics systems
• Design scalable, fault-tolerant, event-driven architectures for low-latency trading workflows
• Review and optimize system architecture, infrastructure choices, and hosting strategies across cloud and on-prem environments
• Define engineering standards for scalability, reliability, observability, and security
• Design and maintain time-series data architecture for market, trade, and analytics datasets
• Own data quality processes including validation, reconciliation, lineage, completeness checks, and issue remediation
• Troubleshoot production data issues including missing ticks, feed breaks, latency spikes, pipeline failures, and historical inconsistencies
• Establish data storage, partitioning, retention, backup, and recovery strategies

Production / Reliability

• Drive monitoring, logging, observability, and alerting frameworks
• Lead root-cause analysis (RCA) and incident resolution for production issues
• Improve system performance, latency, resiliency, and operational reliability

Leadership

• Lead system engineering team
• Drive architecture reviews, code reviews, hiring, and technical roadmap planning
• Coordinate across quant research, engineering, and product teams
• Design scalable backend systems for strategy, execution, and risk
• Build and manage data pipelines (real-time + historical)

Mandatory Skills

• 6–8 years coding experience in C++, Python and SQL languages.
• Expertise in System design and performance optimization
• Experience building end-to-end systems for Investment companies, Trading firms, Financial Research firms or related
• Solid understanding of:
• API integration
• Distributed systems
• Overall back-end systems architecture
• Hands-on experience with AWS / Azure and on-premise servers

Preferred skills:

• Exposure to time-series databases and financial market data pipelines
• Experience troubleshooting production trading systems and real-time data workflows

Education

• B.Tech / M.Tech / Bachelors in Computer Science, Engineering, or related field