AI-native engineering leadership

Sumit Motghare

Engineering Manager | AWS-Native SaaS & AI-Native Platforms

I lead engineering teams building scalable, secure SaaS platforms on AWS, now infused with modern AI systems, including LLMs, intelligent agents, MCP-based tooling, and AWS Bedrock.

Based in Pune, India - open to remote and hybrid roles in AI-native, AWS-native SaaS organizations.

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AI-Native Engineering Leadership

Over the last few years, I have moved from AI-adjacent delivery to AI-native leadership, blending product impact, engineering rigor, and practical adoption of modern AI tooling.

  • Working hands-on with LLMs, MCP servers, and AI-assisted development tools (Cursor IDE, Strands SDK) to refactor, debug, and ship faster.
  • Orchestrating AI agents and tool-chains on AWS Bedrock, including stateful MCP sessions and multi-agent workflows connected to cloud services and APIs.
  • Leading teams in an AI-first operating model where architecture decisions remain secure, observable, and production-ready.

Skills & Tech Stack

My roots are in full-stack and backend engineering with a strong focus on production-ready cloud systems. I stay close enough to code and architecture to guide technical quality while scaling teams.

Cloud & AWS

AWS (Bedrock, ECS/Fargate, Lambda) Multi-tenant SaaS Event-driven architecture Observability and cost governance

AI & LLMs

LLMs and agents AWS Bedrock MCP servers Cursor IDE Strands SDK

DevOps & Platforms

CI/CD (GitHub Actions) Docker and Kubernetes Terraform and IaC Monitoring and logging

Languages & Frameworks

Node.js PHP Python React TypeScript

Leadership

Team management (10-20 engineers) Mentoring and hiring Agile and scrum Stakeholder communication

Experience

Highlights from my journey as an engineer and Engineering Manager building cloud-native products and high-performing teams.

Engineering Manager
Entrata India | Pune, India | 202X - Present
  • Led an AI-first squad building internal LLM-assisted workflows on AWS Bedrock to accelerate iteration and reduce lead time.
  • Owned cloud-cost governance across 50+ services, reducing avoidable spend through rightsizing, autoscaling, and reserved capacity planning.
  • Introduced MCP-based tooling and agent patterns with IAM-based guardrails to improve developer productivity without compromising security.

Let's Connect

Open to senior engineering leadership roles in AI-native, AWS-native SaaS organizations focused on product impact and scalable platform engineering.

Email Me Connect on LinkedIn