Director of Engineering-Treasury/Capital Markets

Location: India - Hyderabad or Mumbai Grade-VP Exp-17+Role Summary We are looking for a hands-on Engineering Manager with strong technical expertise, solutioning skills, and financial domain knowledge (Treasury, Sell-side, or Buy-side). The role demands a mix of deep engineering skills, modernization experience, and AI-driven rapid coding. This leader will architect, design, and deliver next-generation Treasury & Markets platforms with high availability, resilience, and scalability.Key Responsibilities - Engineering Leadership  Lead and mentor a team of 10–20 engineers across backend, frontend, and data engineering.  Stay hands-on in architecture, coding, and design reviews (not just people management).  Drive engineering excellence in clean code, CI/CD pipelines, observability, performance tuning, VAPT, and cloud-native best practices. Solutioning & Modernization  Translate Treasury & Markets business problems (funding, risk, liquidity, Fixed Incomes, MM/FX, ALM) into end-to-end technology solutions.  Architect and deliver microservices-based, event-driven, API-first platforms.  Lead modernization journeys: monolith-to-microservices migration, cloud adoption (AWS/GCP/Azure), containerization (Kubernetes, Docker), streaming (Kafka/Pulsar).  Re-engineer legacy workflows into real-time, scalable, and modular solutions. AI-Enabled Engineering  Apply GenAI tools (Cursor, Copilot, ChatGPT, Tabnine, etc.) for rapid prototyping, code generation, and test automation.  Drive use of ML/AI in cashflow forecasting, liquidity analytics, anomaly detection, risk monitoring.  Promote an AI-first culture to improve developer productivity and speed of delivery.Key Qualifications  17+years in software engineering, with 5+ years managing high-performing technology teams.  Strong coding background in Java, Python, C++, with hands-on experience in microservices and distributed systems.  Practical experience with modernization projects: breaking monoliths, moving to cloud-native stacks, building scalable APIs.  Domain knowledge in Treasury, ALM, Risk, MM, FX, or Buy-side/Sell-side trading workflows.  Exposure to GenAI-assisted coding and ML-driven solutions.  Proven record of delivering mission-critical, low-latency, high-resilience platforms in BFSI. Excellent stakeholder management with product owners, risk, operations, and global engineering teams.

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