Senior Full Stack Engineer (NET 8/9+, React, Microservices AI Agents (Claude/Cursor/Copilot)

Kibo Commerce

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of software engineering experience, with recent focus on AI-augmented workflows.
  • Deep expertise in prompt and context engineering, and use of AI Agents.
  • Advanced knowledge of .NET 8/9+ and C#, with an emphasis on modern syntax.
  • Mastery of React, TypeScript, and modern state management solutions.
  • Experience with the Kibo Stack: PostgreSQL, MongoDB, Redis, and RabbitMQ.
  • Proficient in Node.js development when required.
  • Product mindset aimed at proactive feature improvement using AI.

Responsibilities

  • Rapidly prototype features using AI to develop MVPs in hours.
  • Manage IDE context to align AI outputs with architectural standards.
  • Lead development of .NET microservices and React frontends, leveraging AI in coding.
  • Utilize AI to create comprehensive test suites to ensure code quality.
  • Review AI-generated code to uphold SOLID principles and security best practices.
  • Architect efficient data solutions utilizing PostgreSQL and MongoDB with AI optimization.
  • Implement RabbitMQ event patterns within data architecture.

Benefits

  • Flexible work schedule and hybrid work model.
  • Paid company holidays plus a global volunteer holiday.
  • Comprehensive health, wellness, and benefits programs.
  • Support for individual growth, development, and internal mobility.
  • Collaborative environment with high-achieving teammates.
  • Company-sponsored events and activities.
Full Job Description
About this Role:

We are seeking a Senior Full Stack Engineer who is an absolute expert in AI-assisted development. You are a power user of tools like Claude, Cursor, or Copilot, and you understand that "Prompt Engineering" is actually "Context Engineering." Your primary goal is to build and scale our commerce platform using .NET Core and React at a pace that traditional development cannot match. You will be responsible for defining the patterns that allow AI to generate high-quality, testable, and secure code consistently.

What You'll Do:
  • Rapid Feature Prototyping: Use AI agents to move from a concept or "vibe" to a working MVP in hours, not weeks.
  • Context Management: Expertly manage IDE context (using .cursorrules, MCP servers, or project indexing) to ensure AI outputs adhere to Kibo's specific architectural standards.
  • Full-Stack Orchestration: Lead the development of complex .NET microservices and React frontends, utilizing AI to handle 80% of the manual coding while you focus on the critical 20% of logic and integration.
  • AI-First Testing: Utilize AI to generate comprehensive test suites (nUnit, Jest, Playwright) that ensure high coverage and prevent regressions in an accelerated delivery environment.
  • Code Quality & Review: Act as the final gatekeeper, ensuring that AI-generated code is not just "functional" but follows SOLID principles, security best practices, and performance standards.
  • Database & Messaging: Architect data solutions in PostgreSQL and MongoDB, using AI to optimize queries and implement RabbitMQ event patterns.

Skills & Requirements
What You'll Need:
  • 7+ years of software engineering experience, with the last 1-2 years focused heavily on AI-augmented workflows.
  • AI Mastery (Required): Deep expertise in prompt engineering, context engineering, and the use of AI Agents (e.g., Cursor's Agent Mode, GitHub Copilot Extensions, or specialized CLI agents).
  • Latest .NET Expertise: Advanced knowledge of .NET 8/9+ and C#. You must know how to prompt for the latest syntax and framework features.
  • React & Modern Web: Mastery of React, TypeScript, and modern state management (Zustand, TanStack Query).
  • The "Kibo Stack": Proven experience with PostgreSQL, MongoDB, Redis, and RabbitMQ.
  • Node.js Proficiency: Ability to navigate and build in Node.js environments when needed.
  • Product Mindset: You don't just "take tickets"; you use AI to explore solutions and proactively propose feature improvements.

Preferred Skills:
  • Experience with Model Context Protocol (MCP) to connect AI tools to local and remote data sources.
  • Familiarity with Agentic Frameworks (LangGraph, CrewAI) or custom AI-orchestration scripts.
  • Experience in Performance Tuning for AI-generated code (e.g., identifying inefficient loops or redundant API calls).


KIBO PERKS
  • Flexible schedule and hybrid work setting
  • Paid company holidays and global volunteer holiday
  • Generous health, wellness, benefits, and time away programs
  • Commitment to individual growth and development and opportunity for internal mobility
  • Passionate, high-achieving teammates excited to help you succeed and learn
  • Company-sponsored events and other activities

Qualifications

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