We are seeking an experienced Director of Engineering Platform to lead the transformation and modernization of a large-scale enterprise platform built on microservices architecture.

This strategic leadership role will drive engineering excellence, oversee globally distributed teams, and accelerate innovation through AI-enabled development practices.

You will play a pivotal role in scaling platform capabilities, reducing technical debt, modernizing systems, and ensuring high-quality, secure, and scalable solutions that align with business and product objectives.

Key Responsibilities for this role :

- Lead modernization and evolution of a platform microservices architecture.

- Define and execute engineering strategies aligned with business and product goals.

- Partner with Product to build and maintain platform technology roadmaps.

- Recruit, mentor, and develop high-performing global engineering teams.

- Foster a culture of engineering excellence, innovation, and continuous improvement.

- Oversee planning, execution, and delivery of complex engineering initiatives.

- Ensure platform scalability, performance, reliability, and security.

- Drive technical debt reduction and system modernization.

- Champion API-first and integration-driven development practices.

- Oversee B2B API platform development and partner integrations.

- Guide ERP system integrations to ensure seamless data flow and process alignment.

- Embed GenAI and AI-assisted development across the SDLC for faster time-to-market.

- Manage engineering budgets and optimize resource utilization.

- Lead the transition from regional engineering silos to unified global teams.

Required Experience & Skills :

- 15+ years of experience in software engineering.

- 6+ years in engineering leadership roles.

- Deep expertise in platform and SaaS architecture.

- Proven experience building and scaling large distributed systems.

- Strong background in Agile, cloud-native, and high-availability architectures.

- Experience managing hiring, performance, and career development.

- Strong understanding of software cost and infrastructure economics.

Technical expertise in :

- Java, AWS, RedHat, Golang.

- Microservices & APIs.

- ETL tools and front-end technologies.

- GitHub, GitHub Copilot, Jira.

- Experience leveraging AI code assistants to improve engineering productivity.

- Excellent communication skills with technical and business stakeholders.