Intuit | Staff Software Engineer
23 hours ago
Overview:
Come join the One Intuit Notification Platform as a Staff SW Engineer. OINP is used across Intuit products like TurboTax, QuickBooks etc to author and deliver notifications across Email, SMS, Push and In-App notifications. The mission of this team is to send communications to the right customer at the right time and with guaranteed delivery. We are also looking toward making out communication platform smarter by leveraging GenAI for areas such as security and fraud control, notification authoring and analytics.
Responsibilities:
- Architecting and developing web, software, mobile apps, prototypes, or proofs of concepts (POC)
- Leading the gathering of functional requirements, developing technical specifications, and project & test planning
- Acting as the technical subject matter expert: Mentoring fellow engineers, demonstrating technical expertise, and leading a small team solving challenging programming and design problems
- Roughly 40-60% hands-on coding
- Generate technical documentation and PowerPoint presentations to communicate architectural and design options, and educate development teams and business users
- Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
- Work cross-functionally with various Intuit teams including: product management, QA/QE, various product lines, and/or business units to drive forward results
- Demonstrate a passion for developing well architected, elegant, web and/or mobile apps
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies
Qualifications:
- 8+ years experience designing and developing web, software, or mobile applications
- Strong leadership experience: Leading meetings, presenting, technical go to person, and cross-functional leader
- BS/MS in computer science or equivalent work experience
- Expertise with): Java/J2EE or scripting languages
- Expertise with the entire Software Development Life Cycle (SDLC)
- Well versed with Machine learning fundamentals (i.e. classification, regression, clustering, neural networks) and experience in building production grade models with precision/recall.
- Understand and apply machine learning principles (training, weights, validation, testing, error, cost) optimizing for accuracy/feedback. Aware of metrics and tuning.
- Excellent communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
- Expertise in the Software design/architecture process
- Expertise with unit testing & Test Driven Development (TDD)
- Business Acumen - strategic thinking & strategy development
- Building strong teams - set and evangelize vision, facilitative leadership, attract and retain key talent
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