Vacancy caducado!
OverviewCome 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.What you'll bring
6+ years experience developing web and Infrastructure.
BS/MS in computer science or equivalent work experience.
Strong experience with any cloud vendors like AWS , GCP , 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, GCP 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.
How you will lead
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
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.