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AbbVie is hiring a

Staff Software Engineer

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San Francisco, US-Virtual Office
Posted a day ago
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Job Description

At AbbVie, one of the largest pharmaceutical companies in the world. Our iconic brands include Botox, CoolSculpting, Juvéderm, and more. The medical aesthetics business is ripe for rapid growth and disruption, and we are looking for an experienced Staff Engineer to add to our high-performing team to do just that.

Our team has successfully launched a new and innovative technology platform, Allē, which serves millions of consumers, tens of thousands of aesthetics providers, and thousands of colleagues throughout the US. Since its launch in November 2020, Allē has delivered curated promotions, personalized experiences, and millions of consumers use it as part of their beauty journey. Now, we are looking for a Staff Engineer as we prepare to launch a new array of game-changing technologies on our successfully adopted platform.

We're looking for a Staff Engineer interested in working within a startup-oriented environment while having the backing of a very large company. If that's you, please read on.
As the Staff Engineer, you will report to the Software Engineering Manager and continuously collaborate with key stakeholders across the business to solve the most critical technical problems.

You Will

  • Champion code quality, reusability, scalability security and strategic software architecture decisions

  • Mentor software engineers utilizing code reviews, proven design patterns and your experience building large scale platform tooling

  • Collaborate with Product, Project, and Engineering Management to take small ideas or concepts and turn them into high fidelity technical game plans and achieve the products and business goals

  • Care about who you work with and how work is done. We hire carefully and the entire team is given the opportunity to take part in evaluating potential hires

  • Relate to our core values and would like to contribute to a positive working environment and culture

  • Drive the exploration and evaluation of AI-powered tools and technologies to enhance software engineering practice

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