Tech Stack

Description

You will own and evolve the foundational Platform Infrastructure powering our global product ecosystem, driving cloud architecture, distributed systems, and large-scale data platforms to enable scalability, reliability, and AI-first innovation. This is a high-impact leadership role with regional influence, clear ownership of Platform Infrastructure engineering, and strong executive visibility.

Requirements

• 15+ years of engineering experience, including 7+ years in senior leadership roles
• Proven leadership of large-scale Platform Infrastructure organizations
• Understanding of AI-native software development practices, including automated code generation, AI-driven testing, and human-in-the-loop review systems
• Proven ability to adopt and drive modern engineering paradigms, particularly integrating AI into development workflows to improve productivity, quality, and delivery speed
• Deep expertise in AWS, distributed systems, cloud-native architecture, and SRE
• Experience operating PB-scale data platforms
• Track record of scaling engineering teams in high-growth SaaS environments
• Strong executive presence with experience partnering at SLT or board level
• Demonstrated ability to develop senior engineering leaders and build high-performance culture
• Strong business acumen and long-range strategic thinking

Responsibilities

• End-to-end ownership of Platform Infrastructure engineering (AWS, architecture, reliability, scalability)
• Leadership of large-scale data platform operating at PB-scale and processing trillions of data points daily
• Generative AI enablement at the platform layer to power AI-driven product innovation
• Engineering excellence across distributed systems, SRE, DevOps, observability, and developer productivity
• Regional engineering leadership across India
• Executive alignment with SLT on long-term technology strategy
• Lead global teams across platform engineering, infrastructure, cloud operations, integrations, and SRE
• Leverage generative AI and AI coding tools to accelerate developer productivity, engineering workflows, and automation of repetitive tasks
• Define and execute long-term AWS cloud strategy focused on availability, security, performance, and cost optimization
• Scale distributed systems architecture to support global growth and AI workloads
• Improve developer velocity through internal platforms, tooling, and automation
• Build and mentor senior engineering leaders; strengthen high-performance culture in India
• Drive change leadership during periods of growth and transformation
• Partner cross-functionally with Product, Security, and Engineering to align technical priorities with business goals