Desenvolvedora de Software (Vaga afirmativa exclusiva para mulheres), Intech

Amazon; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

Join a forward-thinking team at Amazon, where you will develop innovative software solutions that enhance the global shopping experience. This role involves creating customer-facing features that reach millions, leveraging machine learning to solve complex problems, and collaborating with diverse teams to drive business growth. With a focus on eliminating vendor complexity and fostering an inclusive culture, you'll be part of a dynamic environment that challenges you to think creatively and deliver impactful results. If you're passionate about technology and eager to make a difference, this opportunity is perfect for you.

Qualificações

• 3+ years of software development experience required.
• Experience with design or architecture of systems is essential.

Responsabilidades

• Build customer-facing features that impact Amazon’s e-commerce revenue.
• Collaborate with business to define expansion strategies.

Conhecimentos

Software Development

Design Patterns

Problem Solving

Machine Learning

Formação académica

Bachelor's degree in Computer Science

Descrição da oferta de emprego

Amazon.com's long-term vision is to enable a seamless global shopping experience for all Amazon customers worldwide on any Amazon website or device, in any language and for any culture. Our goal is to create software that offers customers a unique shopping experience that is internationalized for their preferences.

Our team is responsible for automating the launch strategy for Amazon's expansion into new countries. We build customer-facing features in a highly distributed environment that directly impacts Amazon’s e-commerce revenue in over 150+ countries.

About you:

You're looking for a career where you'll be able to build, to deliver, and to impress. You build customer-facing features that reach millions of new customers all over the world. You look at problems holistically and thrive on the intricate complexity of designing feedback loops and ecosystems. You want to work on projects where you are leveraging Machine Learning models to implement solutions to real problems that require creative and deep understanding of the problem space. You challenge yourself and others to constantly come up with better solutions. You work closely with the business to define the expansion strategy and figure out innovative solutions to help this thriving business continue its exponential growth.

About us together:

We're going to eliminate vendor complexity so they can make products available in any market place. Along the way, we're going to face seemingly impossible problems. We're going to argue about how to solve them, and we'll work together to find a solution that is superior to each of the proposals we came in with. We'll make tough decisions, but we'll all understand why. We'll be the dream team.

Basic Qualifications

1. 3+ years of non-internship professional software development experience
2. 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
3. Experience programming with at least one software programming language

Preferred Qualifications

1. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
2. Bachelor's degree in computer science or equivalent

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.