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Type: Client-Facing Technical Architecture, Infrastructure Solutioning & Domain Consulting (India + International Markets)

Role Overview

Tradelab is seeking a senior Solution Architect who can interact with both Indian and international clients (Dubai, Singapore, London, US), helping them understand our trading systems, OMS/RMS/CMS stack, HFT platforms, feed systems, and Matching Engine. The architect will design scalable, secure, and ultra-low-latency deployments tailored to global forex markets, brokers, prop firms, liquidity providers, and market makers.

Key Responsibilities

1. Client Engagement (India + International Markets)

• Engage with brokers, prop trading firms, liquidity providers, and financial institutions across India, Dubai, Singapore, and global hubs.
• Explain Tradelab’s capabilities, architecture, and deployment options.
• Understand region-specific latency expectations, connectivity options, and regulatory constraints.

2. Requirement Gathering & Solutioning

• Capture client needs, throughput, order concurrency, tick volumes, and market data handling.
• Assess infra readiness (cloud/on-prem/colo).
• Propose architecture aligned with forex markets.

3. Global Architecture & Deployment Design

• Design multi-region infrastructure using AWS/Azure/GCP.
• Architect low-latency routing between India–Singapore–Dubai.
• Support deployments in DCs like Equinix SG1/DX1.

4. Networking & Security Architecture

• Architect multicast/unicast feeds, VPNs, IPSec tunnels, BGP routes.
• Implement network hardening, segmentation, WAF/firewall rules.

5. DevOps, Cloud Engineering & Scalability

• Build CI/CD pipelines, Kubernetes autoscaling, cost-optimized AWS multi-region deployments.
• Design global failover models.

6. BFSI & Trading Domain Expertise

• Indian broking, international forex, LP aggregation, HFT.
• OMS/RMS, risk engines, LP connectivity, and matching engines.

7. Latency, Performance & Capacity Planning

• Benchmark and optimize cross-region latency.
• Tune performance for high tick volumes and volatility bursts.

8. Documentation & Consulting

• Prepare HLDs, LLDs, SOWs, cost sheets, and deployment of playbooks.
• Required Skills
• AWS: EC2, VPC, EKS, NLB, MSK/Kafka, IAM, Global Accelerator.
• DevOps: Kubernetes, Docker, Helm, Terraform.
• Networking: IPSec, GRE, VPN, BGP, multicast (PIM/IGMP).
• Message buses: Kafka, RabbitMQ, Redis Streams.

Domain Skills

• Deep Broking Domain Understanding.
• Indian broking + global forex/CFD.
• FIX protocol, LP integration, market data feeds.
• Regulations: SEBI, DFSA, MAS, ESMA.

Soft Skills

• Excellent communication and client-facing ability.
• Strong presales and solutioning mindset.
• Preferred Qualifications
• B.Tech/BE/M.Tech in CS or equivalent.
• AWS Architect Professional, CCNP, CKA.

Why Join Us?

• Experience in colocation/global trading infra.
• Work with a team that expects and delivers excellence.
• A culture where risk-taking is rewarded, and complacency is not.
• Limitless opportunities for growth—if you can handle the pace.
• A place where learning is currency, and outperformance is the only metric that matters.
• The opportunity to build systems that move markets, execute trades in microseconds, and redefine fintech.

This isn’t just a job—it’s a proving ground. Ready to take the leap? Apply now.

Job Description: Senior Software Engineer – C# (RMS – Risk Management Systems)

**Location:** [Insert Location]

**Job Type:** [Full-time / Contract]

**Experience:** 4–8 years

**Domain:** Capital Markets / Risk Management / Trading Applications

Job Description:

We are looking for an experienced Senior Software Engineer with deep expertise in C# and distributed systems, to design and maintain mission-critical Risk Management Systems (RMS) used in trading environments. The role requires strong understanding of real-time order flow, risk checks, queue management, and multi-threaded processing.

Key Responsibilities:

RMS Development:

·       Design, develop, and optimize real-time RMS components using C# and .NET Framework (4.0/4.7.2).

·       Implement rule-based and exposure-based pre-trade and post-trade risk checks.

·       Develop in-memory data structures to handle millions of order and trade records efficiently.

·       Build high-throughput queues and modules to handle burst loads during market open and spikes.

·       Debug multi-threaded modules and ensure accurate and timely risk validation.

·       Build alerting, threshold evaluation, and notification modules for risk violations.

·       Collaborate with product and trading teams to translate risk rules into executable modules.

Tools & Technologies:

·       Version control: Git or TFS.

·       Database: SQL Server or in-memory cache (Redis) for real-time exposure tracking.

·       Experience with messaging systems or queues (e.g., MSMQ, ZeroMQ, Kafka) preferred.

·       Proficiency with AI-powered tools such as GitHub Copilot and ChatGPT.

·       Prompt engineering skills to utilize AI for test case generation, debugging, and optimization.

Domain Knowledge (Must-Have):

·       Strong understanding of capital markets, especially equity and derivative segments.

·       Working knowledge of Order Management Systems (OMS), RMS policies, and market behavior.

·       Experience with exchange protocols (e.g., FIX, TCP) and market data processing.

·       Ability to handle peak load conditions and large-scale order bursts.

Preferred Qualifications:

·       Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

·       Prior experience working on RMS or surveillance systems in broking or exchange domain.

·       Familiarity with trading APIs and pre-trade/post-trade workflows.

Role Overview

We are seeking an accomplished and dynamic Sales Manager based in Mumbai to lead TradeLab’s expansion across Western India. This is a high-impact, hunter-focused role tasked with building new client relationships with discount brokers, full-service brokers, banks, and fintech platforms. The role involves minimal account nurturing, with a primary focus on prospecting, pipeline development, and closing high-value deals. The ideal candidate will bring deep industry expertise, an established network in the capital markets, broking, and fintech sectors, and a proven ability to navigate complex sales cycles with senior stakeholders.

Key Responsibilities

• New Business Development: Drive aggressive acquisition of new clients across Western India by targeting entities aligned with TradeLab’s Ideal Customer Profile (ICP), including discount brokers, full-service brokers, banks, and fintech platforms.
• Pipeline Management: Build, manage, and maintain a robust sales pipeline by prospecting, qualifying leads, and advancing opportunities through discovery, demonstrations, proposal creation, negotiation, and deal closure.
• End-to-End Sales Ownership: Lead complex, enterprise-grade sales cycles from initial outreach to contract signing, engaging senior stakeholders such as CEOs, CTOs, CIOs, and Heads of Broking.
• Solution Positioning: Collaborate closely with solutions architects and product teams to tailor and position TradeLab’s modular offerings (ORMS, MetaTrader integrations, PULSE AI, CRM/LPA solutions) to address specific client pain points and objectives.
• Regulatory Expertise: Demonstrate a deep understanding of regulatory frameworks (e.g., SEBI guidelines, algo trading controls, T+0 settlement workflows) and articulate their business value to position TradeLab’s solutions as compliance-driven and operationally efficient.
• Brand Representation: Act as TradeLab’s ambassador at industry events, trade shows, webinars, and client meetings to enhance brand visibility and establish thought leadership in the capital markets ecosystem.
• Market Feedback: Provide actionable, structured insights from client interactions to influence product roadmaps, go-to-market strategies, and solution enhancements.
• CRM Management: Actively maintain and update customer relationship management (CRM) systems to ensure accurate tracking of leads, opportunities, and client interactions, enabling data-driven decision-making and forecasting.