Senior Software Engineer, Full Stack, Iru 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 ServiceNow and AWS. Iru was named to Forbes’ America’s Best Startup Employers 2025 list for employee engagement and satisfaction. The Opportunity 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. Benefits & Perks Competitive salary Hybrid work environment (3 days in office per week) 100% individual and dependent medical + dental + vision coverage 401(K) with a 4% company match 20 days PTO Iru Wellness Week the first week in July Equity for full-time employees In-office lunch stipend provided Up to 16 weeks of paid leave for new parents Paid Family and Medical Leave Modern Health mental health benefits for individuals and dependents Fertility benefits Working Advantage employee discounts Onsite fitness center Free parking Exciting opportunities for career growth We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you’re someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you. At Iru, we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences. Iru is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law. #LI-Hybrid How You'll Make a Difference Day to Day: 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. Minimum Qualifications: 3–6 years of professional software engineering experience Strong proficiency in backend languages (Python, Go, or Java) and modern frontend frameworks (e.g., React, TypeScript) 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, RabbitMQ) 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 frontend consumption Experience writing unit and integration tests Familiarity with CI/CD pipelines and modern deployment practices Ability to analyze problems, break them down, and deliver scalable solutions Preferred Qualifications: Experience using Pydantic or similar schema validation frameworks for structured AI responses and API validation Experience building systems that support AI inference pipelines or AI-driven product features Experience with E2E testing frameworks such as Playwright Experience working with API gateways (e.g., Kong, AWS API Gateway) Familiarity with service meshes (e.g., Dapr, Linkerd, Istio) Experience implementing observability practices, including logging, metrics, and distributed tracing Familiarity with vector databases, embeddings, or retrieval-augmented generation (RAG) Experience building internal developer tools powered by AI Experience working in high-growth startup environments

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