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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Mid Market Verticals - **Company:** Intuit Inc. - **Location:** Mountain View, CA, United States - **Experience:** Experienced - **Salary:** $202,500 - $274,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Software, Cloud Computing, Software Quality, Programming Tools, Distributed Systems, Python (Programming Language), NoSQL, Performance Tuning, SQL Databases, TypeScript, Cloud Platform System, Spring Cloud, LangChain, Large Language Models, Prompt Engineering, Google Vertex AI, Spring-boot, Data Management, Api Design, Microservices - **Published:** November 12, 2026 - **Apply:** https://dejobs.org/x/x/C0496FD5ED9B457EBAD638B298E23119/job/ ## About the Role * 8+ years of experience designing, developing, and delivering scalable software systems in large-scale enterprise environments. * 5+ years of experience architecting complex distributed systems, cloud-native platforms, or enterprise business applications. * Strong hands-on backend engineering experience, with expertise in Java, TypeScript, Spring Boot, Node.js/Express, and SQL/NoSQL databases. * Deep understanding of distributed systems architecture, API design, microservices, data management, performance optimization, reliability, and scalability. * Experience building and operating cloud-native applications on AWS or GCP, with an understanding of cloud infrastructure, security, and operational excellence. * Experience leveraging AI technologies and frameworks such as Large Language Models (LLMs), LangChain, Amazon SageMaker, Google Vertex AI, Python, or prompt engineering to build intelligent applications and platform capabilities. * Experience designing extensible platforms, developer tools, or environments that enable safe experimentation, testing, and integration is highly desirable. * Lead the design and delivery of foundational Sandbox capabilities that enable customers and partners to safely explore, test, and experience Intuit products. ## Description * Drive significant technology initiatives end-to-end, including horizontal platform capabilities spanning multiple Intuit products and engineering teams. * Architect and implement robust, scalable, secure, and highly available platform solutions, balancing immediate business priorities with long-term extensibility and reliability. * Identify opportunities to leverage AI to build intelligent Sandbox experiences, automate complex workflows, and accelerate platform innovation. * Establish evaluation strategies and success metrics for AI-powered capabilities, ensuring measurable improvements in customer experience, accuracy, and reliability. * Partner with Product Management and cross-functional teams to understand customer behaviors, identify unmet needs, and translate complex business requirements into durable technical solutions. * Drive engineering velocity by simplifying architecture, eliminating technical bottlenecks, and accelerating customer, business, and technology outcomes. * Influence technical priorities and architectural decisions across teams, resolving complex dependencies and driving alignment on end-to-end solutions. * Establish and champion engineering best practices in code quality, testing, observability, security, and operational excellence. Qualifications * Lead design and delivery of foundational Sandbox capabilities that enable customers and partners to safely explore, test, and experience Intuit products. * Drive significant technology initiatives end-to-end, including horizontal platform capabilities spanning multiple Intuit products and engineering teams. * Design and implement robust, scalable, secure, and highly available platform solutions, balancing immediate business priorities with long-term extensibility and reliability. * Identify opportunities to leverage AI to build intelligent Sandbox experiences, automate complex workflows, and accelerate platform innovation. * Establish evaluation strategies and success metrics for AI-powered capabilities, ensuring measurable improvements in customer experience, accuracy, and reliability. * Partner with Product Management and cross-functional teams to understand customer behaviors, identify unmet needs, and translate complex business requirements into durable technical solutions. * Drive engineering velocity by simplifying architecture, eliminating technical bottlenecks, and accelerating customer, business, and technology outcomes. * Influence technical priorities and architectural decisions across teams, resolving complex dependencies and driving alignment on end-to-end solutions. * Champion engineering best practices in code quality, testing, observability, security, and operational excellence. * Mentor engineers through technical guidance, architecture reviews, and knowledge sharing, fostering a culture of engineering excellence. * Demonstrate a boundaryless mindset by taking ownership of complex challenges and contributing to solutions beyond immediate team responsibilities. * Champion continuous learning, experimentation, and the adoption of emerging technologies to solve meaningful customer and platform challenges.