Senior Software Engineer Full Stack

DocuSign DocuSign · Enterprise · Bangalore, India · Engineering

Senior Software Engineer to build and scale the next generation of the platform and customer-facing features, focusing on integrating AI orchestration and agentic frameworks. The role involves architecting and leading the development of Agentic systems and MCP-based integrations, managing non-deterministic AI outputs, and building fault-tolerant systems.

What you'd actually do

  1. Architect and lead the development of Agentic systems and MCP-based integrations to enhance platform intelligence and connectivity
  2. Develop high-quality, ship-ready code that is covered by a full test suite
  3. Work with Product Management and other developers to understand and translate marketing requirements into design requirements and provide estimates for development
  4. Design and develop a web-scale service that follows microservice principles and is deployed using containerized cloud technologies
  5. Be responsible for delivering products that delight customers while maintaining the health of the codebase through continuous refactoring and management of technical debt

Skills

Required

  • 8+ years of professional software development experience
  • delivering large-scale, enterprise-grade applications
  • Coding and design experience
  • OO programming language like C#, Node.js, or Python
  • Node.js, JavaScript, or Python
  • Agentic Understanding: Ability to design and implement autonomous agent workflows and deterministic AI processes
  • MCP (Model Context Protocol)
  • git, continuous integration, and deployment tools
  • unit testing

Nice to have

  • Computer Science degree or a related technical field
  • Excellent communication skills

What the JD emphasized

  • Expertise in Agentic Understanding: Ability to design and implement autonomous agent workflows and deterministic AI processes
  • Hands-on experience with MCP (Model Context Protocol) to facilitate secure, scalable communication between LLMs and enterprise data sources

Other signals

  • incorporating cutting-edge AI orchestration and agentic frameworks
  • Architect and lead the development of Agentic systems
  • management of non-deterministic AI outputs
  • Expertise in Agentic Understanding: Ability to design and implement autonomous agent workflows and deterministic AI processes
  • Hands-on experience with MCP (Model Context Protocol) to facilitate secure, scalable communication between LLMs and enterprise data sources