high paying engineering jobs in Mohali, Punjab

Company Details

Who we are?Finvasia is a global fintech company offering technology-driven financial services across trading, investing, and wealth management.What we do?With a strong presence in multiple countries, Finvasia focuses on innovation, zero-cost trading solutions, and empowering users through advanced platforms and tools.Know more about us:

• Website Finvasia - https://finvasia.com/
• https://shoonya.com/
• https://jumpp.finance/
• Follow us on LinkedIn Page - https://www.linkedin.com/company/finvasia/
• https://www.linkedin.com/company/shoonyadotcom/
• https://www.linkedin.com/company/jumpp-finance/

Vice President – EngineeringJob Summary

We are seeking a seasoned Vice President – Engineering to lead our technology organization and drive the delivery of high-performance trading systems, scalable consumer platforms, and AI-driven financial products within a fast-evolving fintech ecosystem. This role requires strong engineering leadership, deep architectural expertise, and a proven track record of building and scaling large engineering teams in high throughput, regulated, and real-time environments.The VP – Engineering will play a critical role in shaping the technology vision across trading infrastructure and AI-led financial platforms, ensuring scalability, reliability, and innovation at scale.

Key Responsibilities:

• Define and execute the engineering strategy aligned with business, product, and ecosystem goals (trading + AI platforms)
• Own the overall system architecture, ensuring low latency, scalability, security, and high availability (99.99% uptime)
• Lead end-to-end product engineering lifecycle across trading systems, consumer apps, and AI platforms.
• Drive engineering excellence through structured delivery governance, release management, and quality frameworks.
• Manage and reduce technical debt while continuously improving system performance, latency, and reliability.
• Establish and track engineering KPIs such as latency, uptime, throughput, deployment frequency, and defect rates.
• Champion DevOps, CI/CD, automation, and SRE practices to ensure resilient and scalable systems.
• Ensure compliance with BFSI regulatory, security, and risk standards, especially for trading and financial data systems.
• Lead the architecture and execution of AI/ML-driven systems, including personalization, recommendation engines, and conversational AI.
• Build, lead, and scale high-performing, multi-disciplinary engineering teams across backend, frontend, mobile, data, and AI.
• Collaborate closely with Product, Business, Data Science, Risk, and Compliance teams for aligned execution.
• Drive org design, hiring, leadership development, and succession planning across engineering functions.
• Manage engineering budgets, vendor ecosystem, and technology investments.
• Define long-term technology roadmap, including adoption of AI-first, event-driven, and cloud-native architectures

Experience & Qualifications

• 18+ years of engineering experience with 5+ years in senior leadership roles (VP/Director/Head of Engineering)
• Strong experience in Fintech / Trading platforms / High-scale consumer tech ecosystems.
• Experience in product-based organizations or high-growth startups.
• Proven experience in designing and scaling high-volume, low-latency, transaction-driven systems.
• Hands-on experience with:
• Backend technologies: Java (preferred), microservices, distributed systems architecture.
• Frontend technologies: Modern JS frameworks (React/Angular/Vue)
• Mobile development: Android/iOS platforms
• DevOps & SRE: CI/CD, containerization (Docker/Kubernetes), monitoring & observability.
• Streaming systems: Kafka / real-time event processing (preferred)
• Demonstrated experience in building and managing large cross-functional engineering teams including backend, frontend, mobile, data, and QA teams.
• Experience working in regulated, security-driven environments (BFSI/trading systems).
• Strong understanding of engineering metrics, release governance, system reliability, and performance optimization.

Pay: ₹600,000.00 - ₹6,500,000.00 per year

Benefits:

• Health insurance
• Life insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person