Vice President of Engineering-Treasury/Capital Markets

Location: India - Hyderabad

Grade-VP-Engineering

Exp-18+

Mandatory-Exp in Treasury or Capital Markets

Role Summar

yWe are looking for a hands-on Engineering Manager with strong technical expertise

,solutioning skills, and financial domain knowledge (Treasury, Sell-side, or Buy-side). Th

erole demands a mix of deep engineering skills, modernization experience, and AI-drive

nrapid coding. This leader will architect, design, and deliver next-generation Treasury &

;Markets platforms with high availability, resilience, and scalability

.
Key Responsibilities - Engineering Leaders

hip Lead and mentor a team of 10–20 engineers across backend, frontend, and d

ataengineeri

ng. Stay hands-on in architecture, coding, and design reviews (not just peo

plemanagemen

t). Drive engineering excellence in clean code, CI/CD pipelines, observabili

ty,performance tuning, VAPT, and cloud-native best practic

es.Solutioning & Modernizat

ion Translate Treasury & Markets business problems (funding, risk, liquidity, Fi

xedIncomes, MM/FX, ALM) into end-to-end technology solutio

ns. Architect and deliver microservices-based, event-driven, API-first platfor

ms. Lead modernization journeys: monolith-to-microservices migration, cl

oudadoption (AWS/GCP/Azure), containerization (Kubernetes, Docker), stream

ing(Kafka/Pulsa

r). Re-engineer legacy workflows into real-time, scalable, and modular solutio

ns.AI-Enabled Engineer

ing Apply GenAI tools (Cursor, Copilot, ChatGPT, Tabnine, etc.) for rapid prototypi

ng,code generation, and test automati

on. Drive use of ML/AI in cashflow forecasting, liquidity analytics, anom

alydetection, risk monitori

ng. Promote an AI-first culture to improve developer productivity and speed of delive

ry.
Key Qualificat

ions 17+years in software engineering, with 5+ years managing high-perfor

mingtechnology te

ams. Strong coding background in Java, Python, C++, with hands-on experienc

e inmicroservices and distributed syst

ems. Practical experience with modernization projects: breaking monoliths, movin

g tocloud-native stacks, building scalable A

PIs. Domain knowledge in Treasury, ALM, Risk, MM, FX, or Buy-side/Sell-side tra

dingworkfl

ows. Exposure to GenAI-assisted coding and ML-driven soluti

ons. Proven record of delivering mission-critical, low-latency, high-resili

enceplatforms in B

FSI. Excellent stakeholder management with product owners, risk, operations,

andglobal engineering te