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Director of Engineering – AI & Full-Stack SaaS

Redwood Software · Hyderabad

New
🇬🇧 English
Java Spring Boot Microservices APIs Distributed systems AWS Azure GCP Modern frontend technologies DevOps CI/CD Automated testing AI GenAI LLMs Generative AI AI agents Workflow automation Orchestration Enterprise automation platforms

Job description

About the role

Redwood is seeking a Director of Engineering to shape the strategy and execution of a highly scalable, enterprise‑grade SaaS platform. The role blends deep software engineering expertise with practical AI/GenAI adoption across the product lifecycle.

Key responsibilities

  • Lead and mentor multiple engineering teams delivering enterprise SaaS products.
  • Define and execute engineering strategy, technical roadmap, architecture and development standards.
  • Drive development of secure, reliable, cloud‑native SaaS applications across backend, frontend, APIs and microservices.
  • Champion AI/GenAI tools to improve development, testing, code quality and automation.
  • Partner with Product, Architecture, DevOps, Security and other cross‑functional teams to deliver critical capabilities.
  • Establish best practices for design, coding, testing, CI/CD, observability, performance and reliability.
  • Own delivery, quality, scalability and operational excellence across multiple product areas.
  • Foster a high‑performing engineering culture focused on innovation, ownership and continuous improvement.

Required profile

  • 15+ years of software/product engineering experience with senior leadership roles.
  • Proven track record leading large, multi‑team engineering organizations.
  • Strong background in enterprise SaaS product development and full‑stack architecture.
  • Excellent architectural and technical problem‑solving capabilities.
  • Demonstrated people leadership, stakeholder management and communication skills.

Required skills

  • Java and Spring Boot (or comparable enterprise backend technologies).
  • Microservices, APIs, distributed systems and cloud‑native architectures.
  • Hands‑on experience with AWS, Azure or GCP.
  • Modern frontend technologies and full‑stack development practices.
  • DevOps, CI/CD, automated testing and engineering productivity tools.
  • AI/GenAI technologies, LLMs, Generative AI, AI agents and AI‑powered developer tools.
  • Workflow automation, orchestration and enterprise automation platforms.

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Published 5 days ago

Expires 1 month from now

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Redwood Software

Hyderabad