Software Development Engineer, Amazon

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Expertise in software design, data modeling, and system architecture
- Strong background in machine learning, data engineering, and MLOps
- Hands-on experience with programming languages like Python and Java
- Hands-on experience with modern Data Engineering and MLOps frameworks

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.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Our team is currently working on a new experience that will shape the future of shopping and are seeking a talented software developer to lead and drive the development of this new feature.
If you are thrilled about creating customer experiences that will be used by millions of people worldwide and are eager to tackle technical challenges that have never been addressed before, then this is the perfect opportunity for you.

As a software developer in this role, you will have the opportunity to design and lead the development of a unique and engaging feature for millions of customers. You will be an integral part of a passionate and creative team that encourages experimentation and innovation on behalf of our customers. You will play an active role in building quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon. Along the way, you’ll learn a lot, have fun and make a positive impact on millions of people.

The ideal candidate is passioned about machine learning, data engineering, and MLOps and will work closely with data scientists and other engineering teams to implement next-generation voice experiences for the Amazon Customers.

Key job responsibilities
We are looking for a talented Software Development Engineer with a strong technical background, customer obsession and bias for action with a track record of leading and delivering robust solutions quickly. In this role, you will:

* Design, develop, and deploy scalable and highly available distributed systems for speech recognition and associated machine learning workflows.
* Own and evolve the MLOps pipelines that power the training, evaluation, and deployment of our models.
* Build robust quality monitoring and alerting systems to ensure reliable end-user experiences.
* Collaborate closely with research scientists, product managers, and other engineering teams to drive the roadmap and deliver innovative voice capabilities.
* Mentor more junior engineers and help grow the technical expertise of the team.
* Stay up-to-date with the latest advancements in speech technology, machine learning, and cloud infrastructure.