Senior Staff Software Engineer , Innovation Research

Job Overview

The Intuit Futures Organization is a team dedicated to pushing boundaries and driving innovation within the company. The team achieves this through a variety of means, such as experimentation, extensive research, POC and MVP initiatives. Through these methods, the team aims to develop and incubate emerging technologies, user experiences, and capabilities. By constantly exploring new ideas, the Intuit Futures team identifies and develops solutions that have the potential to be transformative to our customers, products, and business. The team’s work ensures that Intuit remains at the forefront of innovation and can continue delivering valuable products and services that meet the evolving needs of our customers.

We are looking for a Senior Staff Software Engineer to join our Innovation Team, focusing on building POCs (Proof of Concepts) and MVPs that deliver 10x to 100x value for both internal and external customers.

This position requires hands-on expertise across AI/GenAI and full-stack development, with a focus on innovation and practical execution. You will design and implement end-to-end POCs and MVPs, covering multiple domains such as AI/GenAI, frontend, backend, cloud computing, real-time streaming, data management, DevOps, and security. As a key player in architecting and executing solutions, you’ll drive projects from concept to completion, ensuring they have real-world impact.

We seek candidates with a broad technical skillset who enjoy solving complex problems across various technologies and are capable of delivering creative, hands-on solutions. The ideal candidate is independent, results-oriented, and can navigate the full technology stack with ease.

Responsibilities

• Hands-On Technical Leadership: Lead the design, development, and architecture of POCs and MVPs, ensuring a hands-on approach throughout the implementation process.
• Leverage AI/GenAI Solutions: Apply AI/GenAI concepts to solve complex problems, including fine-tuning models and applying existing AI frameworks effectively.
• Collaboration with Business Units: Work closely with business units to understand pain points and opportunities, translating them into high-impact technical solutions.
• Lead by Example in Development: Actively contribute to the codebase, taking ownership of key features and demonstrating hands-on technical leadership to the rest of the team.
• Experiment with High-Risk Projects: Drive rapid experimentation on high-risk, high-reward projects, iterating on ideas and solutions to maximize success.
• Ensure Real-World Scalability: Ensure that POCs are not only innovative but also scalable and ready for adoption by business units.
• Cross-Functional Collaboration: Collaborate with product, design, and other technical teams to ensure technical and product alignment.
• Result-Oriented Development: Focus on practical, result-oriented development, ensuring projects deliver tangible value and are successfully integrated into the organization's systems..

Qualifications

Experience: At least 10 years of hands-on software engineering experience, with a strong track record of delivering end-to-end solutions and leading high-impact projects.

Education: Bachelor’s or Master’s degree in computer science, Engineering, or a related field.

Expertise in Multiple Domains: Proven experience in AI/GenAI, frontend (UI/UX), backend, cloud computing, real-time streaming, data management, DevOps, and security.Technical Skills:

• AI/GenAI Proficiency: Hands-on experience with AI/GenAI technologies, including:
• Model fine-tuning, training AI models, and applying AI concepts to real-world problem.
• Frontend Development: Hands-on experience with modern UI/UX frameworks like React, Vue.js, or Angular using JavaScript/TypeScript. Experience with HTML5, CSS3.
• Backend Development: Proficiency in designing and building robust backend systems using technologies like Node.js, Java, Python, Go, or Rust.
• Cloud Platforms and Infrastructure: Strong experience with AWS, GCP, or Azure, including microservices, serverless computing, and containerization with Docker and Kubernetes.
• DevOps and Automation: Experience in DevOps practices, including: CI/CD pipelines, infrastructure as code (Terraform, CloudFormation).
• Database and Data Management: Experience with both SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, and DynamoDB.
• Security Best Practices: Strong understanding of security protocols and ensuring security compliance in both development and deployment processes.
• Distributed Systems and Streaming: Experience with Kafka, RabbitMQ, Apache Flink, or similar platforms for real-time data processing.

Soft Skills:

• Creativity and Innovation: Ability to think outside the box and generate innovative solutions.
• Results-Oriented: Strong focus on efficient, proactive task completion and goal achievement.
• Adaptability: Comfort with rapid task-switching and adaptable to changing priorities.
• Problem-Solving: Excellent at diagnosing and resolving complex technical challenges.
• Team Player: Collaborative team player committed to collective success.
• Communication: Proficient in explaining AI concepts to business stakeholders.
• Leadership: Capability to inspire and guide a team, providing mentorship and fostering a culture of continuous improvement.