Senior Software Engineer, Full Stack, AI

About Iru

Iru is the AI-powered security & IT platform used by the world’s fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation—collapsing the stack and giving IT & security time and control back. Iru is backed by some of the smartest investors in tech—General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital.

In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Notion, Cursor, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as Service Now and AWS. Iru was named to Forbes’ America’s Best Startup Employers 2025 list for employee engagement and satisfaction.

As a Senior Software Engineer, you will play a key role in designing, building, and delivering the end-to-end systems that power IruAI. You will work across the stack partnering closely with engineers, product managers, and designers to create reliable, scalable, and intuitive product experiences.

In this role, you will help shape modern system architectures that span frontend, backend, and data layers, ensuring high performance, security, and maintainability. You will contribute to both platform-level services and customer-facing features, taking ownership from concept through delivery.

You will also be instrumental in integrating AI-powered capabilities into the product. This includes working with Large Language Models (LLMs) and AI tooling to build intelligent, user-facing features (such as copilots, automation workflows, and conversational interfaces), as well as internal tools that enhance developer productivity.

• Build and Maintain Full-Stack Features:
  Design, develop, and maintain both backend services and user-facing applications that power core product functionality end-to-end.
• Contribute to System Architecture:
  Work across the stack to design scalable architectures spanning frontend, backend, and data layers, ensuring performance, reliability, and maintainability.
• Develop AI-Powered Features:
  Build AI-driven capabilities that surface directly in user experiences, integrating LLM APIs into both backend services and frontend workflows.
• Improve Developer Workflows:
  Enhance full-stack developer experience, including frontend tooling, local environments, CI/CD pipelines, and testing workflows.
• Build Scalable Systems:
  Develop scalable systems across frontend and backend layers, optimizing performance from API to UI.
• Implement Messaging and Integration Patterns:
  Build event-driven systems and ensure seamless integration between backend services and real-time frontend experiences.
• Collaborate Across Teams:
  Partner closely with product managers, designers, and engineers to deliver cohesive end-to-end user experiences.
• Write High-Quality Code:
  Maintain high standards across frontend and backend codebases, including testing, code reviews, and performance optimization.
• Continuously Improve the Platform:
  Improve both user experience and system performance by addressing technical debt across the full stack.

• 3–6 years of professional software engineering experience
• Strong proficiency in backend languages (Python, Go, or Java) and modern frontend frameworks (e.g., React, Type Script)
• Experience integrating AI/LLM features into user-facing interfaces (e.g., chat UIs, copilots, automation workflows)
• Familiarity with prompt engineering, AI tool orchestration, or agent-based systems
• Experience building AI agents or tool-driven LLM systems
• Experience designing and building RESTful APIs and/or gRPC services
• Experience building and deploying full-stack applications on cloud platforms such as AWS or GCP
• Familiarity with service-oriented architecture and microservices patterns
• Experience working with event-driven architectures and message brokers (e.g., Kafka, Rabbit
  
  MQ)
• Experience building and deploying services using Docker and container orchestration platforms such as Kubernetes or ECS
• Proficiency with databases and experience modeling data for both backend systems and…