Database Engineer

Overview

Job Description: Database Engineer (C++ | Software Development – Research Platform)

Location: Bengaluru (5 days Onsite )

Job Type: Full-time

Experience: Minimum 3+ years

Role Overview

We are seeking a Database Engineer with strong C++ development experience to join our Financial Markets technology team. This is a software engineering role, focused on building and scaling the core data infrastructure and research platform used for high-frequency trading (HFT) and quantitative research.

You will work on low-latency, high-throughput systems that process and serve tick-by-tick market data, OHLC data, and large historical datasets. This role is ideal for engineers from product or fintech companies who have built performance-critical, data-intensive platforms.

Key Responsibilities

Software Development & Platform Engineering

• Design, develop, and maintain C++-based backend services for the organization’s research and trading platform.
• Build performant, reliable, and scalable data systems optimized for low latency and high throughput.
• Work closely with quant researchers and trading engineers to support fast research iteration and backtesting.

Time-Series & Market Data Engineering

• Design database schemas and storage models for high-frequency time-series data (tick-by-tick, OHLC, derived signals).
• Develop real-time and batch data ingestion pipelines from multiple market data sources.
• Ensure data quality, integrity, and consistency across live and historical datasets.

APIs & Data Access Layers

• Develop low-latency data access APIs and services (C++ core services, with optional Python bindings).
• Optimize query execution paths for heavy research and analytics workloads.
• Integrate database services with trading, analytics, and visualization systems.

Performance, Scalability & Reliability

• Architect systems capable of handling extreme read/write volumes typical of HFT environments.
• Apply advanced performance tuning techniques including memory optimization, indexing, caching, and data partitioning.
• Design for high availability, fault tolerance, and horizontal scalability.

Monitoring & Operations

• Monitor system performance and troubleshoot issues in a real-time production environment.
• Implement robust backup, recovery, and disaster recovery mechanisms.
• Continuously improve system observability, tooling, and operational resilience.

Required Skills & Qualifications

• 3+ years of professional experience as a Software Engineer, Database Engineer, or Data Engineer.
• Strong, hands-on C++ development experience (mandatory) in production systems.
• Deep understanding of memory management, concurrency, and performance optimization in C++.
• Strong SQL skills and experience with relational databases (PostgreSQL, MySQL).
• Experience with NoSQL or time-series databases (e.g., Cassandra, InfluxDB, TimescaleDB, ClickHouse).
• Experience building backend services or APIs for data-intensive applications.
• Solid understanding of data structures, algorithms, and system design.

Desirable / Nice-to-Have Skills

• Experience working on low-latency or high-frequency trading systems.
• Exposure to financial markets or market data systems.
• Experience with streaming platforms (Kafka, real-time feeds).
• Familiarity with Python for research tooling or bindings.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with Docker and Kubernetes.
• Knowledge of distributed systems and load balancing.