Overview
At the heart of it is a set of platform and ML capabilities such as identity verification, KYC/KYB, identity resolution, Similarity Detection, Search and Recommendations, Knowledge Graph, etc. In addition to unlocking new connections, these capabilities will also power use cases such as fraud prevention, compliance, personalized recommendations and seamless experience for our customers across the Intuit ecosystem.
This is a new and fast-growing initiative within the Identity organization. You will have a chance to influence the strategy and shape the vision. You will be working with a highly motivated and cohesive team. You will experience a startup-like culture while enjoying the benefits of a well-established large organization
What you'll bring
- BS/MS in Computer Science or related fields.
- 8-12 years experience of software development working in large-scale distributed technology environments
- Strong analytical, strategic thinking, problem-solving, and communication skills.
- Experience developing search and recommendation systems and/or knowledge graphs.
- Experience developing systems that process data at large scale.
- Expert level proficiency in Java, Web Technologies, Design & Architecture.
- Self-motivated attitude with the ability to multitask and thrive in a timeline-driven and fast changing environment.
- Knowledge of current trends and best practices in the modern SaaS technology landscape.
- Experience in Scrum, Agile Process, Unit Testing & Test-Driven Development.
- Great business acumen with a passion to solve for the customer
How you will lead
- Design and develop significant technology initiatives end to end from conception to delivery and across multiple layers of product and architecture.
- Ensure the highest standards for engineering design, implementation, and testing.
- Collaborate closely with peers, cross-functional teams and business units to define, prioritize, sequence and scope business and functional requirements and drive results forward for Intuit.
- Accurately scope effort, identify risks and clearly communicate trade-offs with team members and other stakeholders.
- Stay aware of industry trends and make technology choices and strategic decisions.
- Mentor engineers on technology, process, people, and product skills.
- Ship high quality products and features with an end-to-end mindset from conception to delivery and production support, owning specifications, quality, release deployments and monitoring of production health.