Vice President of Engineering-Treasury / Capital Markets

Location- Mumbai

Grade-VP

Exp-15+

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

15+ 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.