Engineering Leader

You will be leading Customer Communication and Automation team, and will play a key role in shaping Delta’s Customer communication & experiences.

We are seeking a seasoned Engineering Leader with 15+ years of experience to lead high-impact engineering teams, drive cloud-native platforms on AWS , and deliver AI-powered, product-led solutions at scale. This role requires a strong balance of technical depth, people & product leadership, and strategic product thinking .

The ideal candidate has built and scaled engineering organizations, partnered closely with Product and Business leaders, and successfully delivered complex systems in fast-paced environments.

Define and evolve cloud-native architectures on AWS , ensuring scalability, security, resilience, and cost efficiency

Lead system design for large-scale distributed systems , event-driven architectures, and microservices

Drive adoption of AI/ML-enabled capabilities (e.g., personalization, recommendations, automation, analytics) into core products

Champion engineering best practices including Automation, CI/CD, observability, DevOps, SRE, and security-by-design

Build, mentor, and retain high-performing engineering teams across multiple geographies

Lead teams; set clear expectations for delivery, quality, and growth

Foster a culture of ownership, psychological safety, continuous learning, and technical excellence

Guide career progression, succession planning, and performance management

Partner closely with Product Management, Design, Data, and Business stakeholders to translate vision into execution

Drive a product mindset —customer-centric thinking, outcome-based delivery, and rapid iteration

Balance short-term delivery with long-term platform and architecture investments

Contribute to roadmap planning, estimation, and prioritization aligned to business goals

Own execution for major initiatives, ensuring predictable delivery across multiple teams

Make data-driven tradeoffs across scope, timelines, quality, and technical debt

Influence executive leadership with clear communication, metrics, and technical insights

Lead transformation initiatives including modernization, platform re-architecture, or AI adoption

· Exposure to AI-Assisted Development Tools (GitHub Copilot, Microsoft Copilot)

AI-Assisted Development: Drive adoption of AI-assisted development practices and tooling across engineering teams.