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Director of Commercial Insurance Engineering

Intellect Design Arena Ltd

Hyderabad · On-site Full-time Executive 3w ago

About the role

Position

Director - Product Engineering

Location

Hyderabad or Chennai

Experience

19+ years

Grade

VP

Domain

Commercial Insurance

Engineering Leader Job Description

We are looking for an Engineering Lead with strong product-building experience and a solid foundation in cloud-native architectures. The ideal candidate comes with a hands‑on engineering background, has built and delivered scalable technology products, and can drive the right technical decisions across teams. Experience in the commercial insurance domain is a must.

Key Responsibilities

  • Lead end-to-end engineering for cloud-hosted SaaS products.
  • Make architectural and technical decisions ensuring scalability, performance, and quality.
  • Guide and mentor engineering teams; stay close to the buildprocess.
  • Work on AWS-based deployments and cloud engineering best practices.
  • Leverage Java, Python, and open-source technologies across the tech stack.
  • Identify opportunities to integrate AI into product workflows (awareness-level expected).

Must-Have Skills

  • Experience in commercial insurance / banking technology.
  • Strong engineering/build background — has built products, not just managed teams.
  • Hands‑on experience with AWS cloud and cloud‑native application development.
  • Expertise in Java and open-source technologies (Python, OSS frameworks).

Good-to-Have

  • Awareness of AI/ML use cases and how AI can enhance product capabilities.

Requirements

  • Experience in commercial insurance / banking technology.
  • Strong engineering/build background — has built products, not just managed teams.
  • Hands-on experience with AWS cloud and cloud-native application development.
  • Expertise in Java and open-source technologies (Python, OSS frameworks).

Responsibilities

  • Lead end-to-end engineering for cloud-hosted SaaS products.
  • Make architectural and technical decisions ensuring scalability, performance, and quality.
  • Guide and mentor engineering teams; stay close to the build process.
  • Work on AWS-based deployments and cloud engineering best practices.
  • Leverage Java, Python, and open-source technologies across the tech stack.
  • Identify opportunities to integrate AI into product workflows (awareness-level expected).

Skills

AWSAICloud-nativeJavaMLOSS frameworksPython

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