Engineering Leader

Deltatechhub; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Deltatechhub is seeking an Engineering Leader in Bengaluru to lead the Customer Communication, AI, and Automation (CAIA) team. The ideal candidate should have over 15 years of experience in shaping cloud modernization and delivering AI-powered solutions at scale.

This role includes responsibilities like defining cloud-native architectures on AWS, fostering high-performing engineering teams, and driving product initiatives in collaboration with multiple stakeholders. A strong balance of technical leadership and strategic product thinking is essential for success in this role.

Qualifications

• 15+ years of experience in engineering leadership, particularly in cloud and AI.
• Proven track record of building high-performing teams.
• Experience in delivering complex systems in fast-paced environments.

Responsibilities

• Lead the Customer Communication, AI and Automation team.
• Define and evolve cloud-native architectures on AWS.
• Build, mentor, and retain high-performing engineering teams.
• Partner with stakeholders to translate vision into execution.

Skills

Cloud-native architectures on AWS

Leadership skills

AI/ML technologies

Agile methodologies

Job description

Role Summary

You will be leading the Customer Communication, AI and Automation (CAIA) team, and will play a key role in shaping Delta’s Cloud modernization, AI delivery and Customer 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 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.

Key Responsibilities

Technology & Architecture

• 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 CI/CD, observability, DevOps, SRE, and security-by-design

People & Organization Leadership

• 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

Product & Business Partnership

• 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

Strategy & Execution

• 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