Enterprise trading infrastructure for high-frequency, low-latency markets
Tradelab builds cloud-native trading systems (OMS, risk management, execution) for institutional brokers and exchanges. The tech stack reveals a mature DevOps-first organization: heavy Kubernetes + Terraform + GitLab CI/CD adoption across AWS, GCP, and Azure, paired with low-latency backends in Go and .NET Core. Engineering dominance (52 of 73 roles) and active projects around microservices, event streams, and performance monitoring signal a company scaling infrastructure reliability rather than product breadth—the real risk vector in their market is uptime and latency, not feature velocity.
Tradelab, founded in 2012 and incubated at IIT Kharagpur, designs modular, cloud-native trading infrastructure for capital markets. Their platform spans digital onboarding, order management systems (OMS), real-time risk management, trade execution, and post-trade analytics—sold to brokers and exchanges that need to handle peak trading volumes without downtime. The company is ISO 9001:2015 and ISO 27001:2022 certified, operates from Bangalore, and supports both on-premise and cloud deployments. Current hiring is concentrated in India, with engineering roles dominating across mid and senior levels.
Terraform, Kubernetes, Helm, GitLab CI/CD, ArgoCD for infrastructure; Python, Go, .NET Core, and C# for backends; PostgreSQL, SQL Server, MySQL for data; Redis, Kafka, RabbitMQ for messaging; Prometheus, Grafana, Elasticsearch for monitoring.
Order Management Systems (OMS), real-time pre- and post-trade risk management, trade execution, and analytics for brokers and exchanges. Current projects emphasize low-latency microservices, high-frequency websocket handling, and zero-downtime deployment pipelines.
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