Senior Vice President - Technology

Job description

Role & responsibilities

As Senior Vice President Technology, you will

Technology Strategy & Vision

- Define and execute the long-term technology strategy aligned with company objectives.

- Drive innovation across platform architecture, cloud infrastructure, AI, data, and

developer productivity.

- Build technology capabilities that support rapid business growth and enterprise

customers.

- Evaluate emerging technologies and recommend strategic adoption.

Engineering Leadership

- Lead multiple engineering organizations across Backend, Frontend, QA, DevOps, SRE,

Platform Engineering, Data Engineering, AI Engineering, and Architecture.

- Build and mentor high-performing engineering leaders.

- Foster a culture of ownership, accountability, innovation, and engineering excellence.

- Develop leadership succession and organizational scalability.

Platform & Architecture

- Own the architectural vision ,Credit Orchestration Platform.

- Drive evolution toward highly scalable, resilient, event-driven microservices.

- Ensure systems are built for performance, security, reliability, and maintainability.

- Establish engineering standards, architecture governance, and technical design reviews.

Product Delivery

- Partner closely with Product, Design, Customer Success, Sales, and Operations to

translate business strategy into technical execution.

- Drive predictable, high-quality software delivery across multiple product lines.

- Improve engineering velocity through automation, platform tooling, and streamlined

development practices.

- Balance innovation with operational stability.

Cloud Infrastructure & DevOps

- Define cloud infrastructure strategy across AWS and cloud-native services.

- Champion Infrastructure as Code, CI/CD, containerization, Kubernetes, observability,

and automation.

- Improve deployment frequency while maintaining reliability.

- Drive operational excellence through SRE practices and reliability engineering.

AI & Data Strategy

- Drive adoption of AI across engineering workflows and customer-facing products.

- Partner with Product and Data teams to integrate AI/ML capabilities into the platform.

- Build internal AI engineering capabilities and developer productivity initiatives.

- Leverage automation and intelligent systems to improve engineering efficiency.

Security & Compliance

- Partner with Information Security teams to maintain enterprise-grade security.

- Ensure compliance with SOC 2, PCI DSS, HIPAA, ISO, and other regulatory

requirements.

- Drive secure software development lifecycle (SSDLC).

- Embed security-by-design across engineering teams.

Engineering Excellence

- Establish engineering KPIs and operational metrics.

- Improve code quality, testing automation, release management, and technical governance.

- Drive reduction of technical debt through continuous modernization initiatives.

- Champion best practices around architecture, documentation, code reviews, and

observability.

Stakeholder Management

- Serve as the technology leader for executive leadership, customers, partners, and

investors.

- Present engineering roadmaps, delivery updates, technology investments, and platform

strategy to senior leadership.

- Collaborate across global teams to ensure alignment between business priorities and

technology execution.