Director Engineering

Redwood; Hyderabad; On-site; INR 5,000,000 - 9,000,000; Full time

Job summary

Redwood in Hyderabad is seeking a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a scalable enterprise platform. You will guide multiple teams, set architecture and standards, and drive AI adoption across the lifecycle, partnering with Product, DevOps, Security, and other teams to deliver critical capabilities.

The role requires deep engineering expertise in enterprise SaaS, cloud-native architecture, and practical AI integration to

Qualifications

• Proven ability to lead engineering teams in enterprise SaaS environments.
• Strong background in cloud-native architecture and scalable systems.
• Experience embedding AI/GenAI into software development lifecycle.

Responsibilities

• Lead and mentor multiple engineering teams delivering enterprise SaaS products.
• Define and execute the engineering strategy, technical roadmap, architecture and standards.
• Drive development of scalable, secure, cloud-native SaaS applications.
• Provide technical leadership across backend, frontend, APIs, microservices and distributed systems.
• Drive adoption of AI/GenAI tools and capabilities across the lifecycle.

Skills

AI/GenAI leadership

Cloud-native architecture

Distributed systems

Full-stack development

Job description

We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform.

This role is ideal for a strong engineering leader who combines deep software engineering expertise, enterprise SaaS experience, cloud-native architecture, full-stack product development, and practical AI/GenAI adoption.

The successful candidate will lead multiple engineering teams, drive architectural and technical decisions, improve engineering velocity and quality, and help embed AI across the software development lifecycle and product engineering ecosystem.

Key Responsibilities

• Lead and mentor multiple engineering teams responsible for building and delivering enterprise SaaS products.
• Define and execute the engineering strategy, technical roadmap, architecture and development standards.
• Drive development of highly scalable, secure, reliable and cloud-native SaaS applications.
• Provide technical leadership across backend, frontend, APIs, microservices and distributed systems.
• Drive adoption of AI/GenAI tools and capabilities across the engineering lifecycle, including development, testing, code quality, productivity and automation.
• Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities.
• Establish engineering best practices around design, coding, testing, CI/CD, observability, performance and reliability.