Senior Software Engineer - Infrastructure

    • Intuit
  • Mountain View, CA
  • Posted 30 days ago | Updated 1 hour ago

Overview

On Site
Full Time

Skills

Google Cloud Platform
Financial technology
Computer science
Infrastructure management
Web services
Software design
Unit testing
Functional testing
Amazon SageMaker
Mobile applications
Web applications
Open source
Big data
UI
Functional requirements
Test plans
IT management
Quality assurance
Product management
Extreme programming
QuickBooks
MailChimp
Machine Learning (ML)
Artificial intelligence
Design
Innovation
Finance
Cloud computing
Amazon Web Services
Microsoft Azure
Python
Java
Kubernetes
Terraform
Splunk
Communication
Vertex
Prototyping
Research
Specification
POC
Mentorship
Software development
Agile
Scrum

Job Details

Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Come join the Senior Software Engineer in ML Platform!

Intuit's AI empowers Intuit technologists to design, build and deploy breakthrough AI experiences with unparalleled speed. The company is fueling rapid innovation at scale across its products and services to solve its customers' most important financial problems and drive durable growth.

Qualifications

  • 6+ years experience developing web and Infrastructure.
  • BS/MS in computer science or equivalent work experience.
  • Strong experience with any cloud vendors like AWS , Google Cloud Platform , Azure
  • Strong experience with any of the following Languages: Python, Java
  • Experience with Infrastructure Management with Kubernetes, Lambda, Boto, Terraform
  • 5+ years experience with web services (consuming or creating) with REST
  • 3+ years experience with Tools like Splunk, Wavefront, Pagerduty
  • Experience with the entire ML Development Life Cycle (MDLC)
  • Solid communication skills
  • Strong understanding of the Software design/architecture process.
  • Experience with unit testing, functional testing.

Preferred Experience:

  • Experience with the entire ML Lifecycle Tools like AWS Sagemaker, Google Cloud Platform Vertex AI, Azure ML Studio
  • Experience developing, maintaining, and innovating large scale, consumer facing web or mobile applications.
  • Familiar with the development challenges inherent with highly scalable and available web applications.
  • Experience with open source technologies (if no practical work experience w/ Big Data, or cutting edge front-end technology-you're prototyping and/or researching the up and coming technology and solutions.
  • Experience with various, modern web frameworks.


Responsibilities

  • Gathering functional requirements, developing technical specifications, and project & test planning
  • Ability to work with minimum guidance and thrive in a fast moving AI landscape
  • Designing/developing web, software, prototypes, or proofs of concepts (POC's)
  • Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
  • Roughly 70-85% hands-on coding
  • Be on call rotation for US hours
  • Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
  • Work cross-functionally with various Intuit teams: product management, QA/QE, various product lines, or business units to drive forward results
  • Contribute to the design and architecture of the project
  • Experience with Agile Development, SCRUM, or Extreme Programming methodologies