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AbeBooks

Software Development Engineer, AWS Payments ML Platform

Location
Canada
Details
Full Time
4 days ago
Job summary
Machine learning, big data; real-time data streaming. If these areas resonate with you, then join us to work on extremely motivating challenges at Amazon Web Services (AWS). Within AWS Payments we build and run Machine Learning models to optimize business processes and improve the customer experience.

If you are a strong software engineer, self-starter and learner who is passionate about working with massive amounts of data to build state-of-art system on top of AWS native services, then this is the right opportunity for you. You will work with a team of highly skilled engineers and scientists, to build the next generation Machine Learning, Data, and Analytics platform at AWS. As part of your job, you will deal with large amounts of training data, rapid prototyping of new models, performance optimizations, offline and online testing, and building fully automated solutions to push Machine Learning models to production, applying MLOps best-practices.

*About you*

You are fascinated by the power of large scale systems and using machine learning algorithms to optimize decision making. And you're looking for a career where you'll be able to build, to deliver, and to impress. 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 implementing solutions to real problems that require creative solutions and deep understanding of the problem space. You will partner with research scientists to challenge yourself and others to constantly come up with better solutions. You'll be given an opportunity to own and drive initiatives through the entire software stack -- from customer facing features, to algorithmic innovation, all the way down to the datasets that the back-end services consume.

As a software development engineer of this team, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of this set of product features from beginning to end. You will:
  • Design, implement, test, deploy and maintain innovative software solutions, while optimizing service performance, durability, cost, and security.
  • Use software engineering best practices to ensure a high standard of quality for all of the team deliverables.
  • Write high quality distributed and scalable systems, to deal with large scale data.
  • Automate the end-to-end development life-cycle to deploy Machine Learning models from research phase to production.
  • Work in an agile, startup-like development environment, where you are always working on the most important stuff.
  • Work closely with scientists, data engineers and other stakeholders to create and deploy new features, in order to optimize various business processes.

In this role you will contribute to a critical and highly-visible function within the AWS business. You will be given the opportunity to autonomously deliver the technical direction of new projects and features in our roadmap. You will work with extraordinary talent and have the opportunity to hire and shape the team to best execute on the product. If you're excited to have a large impact on AWS and the cloud computing industry, you'll find this role to be engaging, challenging, and full of opportunities to learn and grow.

*About our team*

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

*Inclusive Team Culture*
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

*Work/Life Balance*
Our team puts a high value on work-live balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically for one week every two months. We don't like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don't get paged for the same issue twice.

*Mentorship & Career Growth*
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com/

If all of this sounds exciting to you, then please come join us and help shape the future.

Key job responsibilities
* Design, implement, test, deploy and maintain innovative software solutions, while optimizing service performance, durability, cost, and security.
* Use software engineering best practices to ensure a high standard of quality for all of the team deliverables.
* Write high quality distributed and scalable systems, to deal with large scale data.
* Automate the end-to-end development life-cycle to deploy Machine Learning models from research phase to production.
* Work in an agile, startup-like development environment, where you are always working on the most important stuff.
* Work closely with scientists, data engineers and other stakeholders to create and deploy new features, in order to optimize various business processes.

BASIC QUALIFICATIONS

  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • Bachelor's degree in computer science related fields OR 1+ years equivalent experience in software development

  • Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • Bachelor's degree in computer science related fields OR 1+ years equivalent experience in software development
  • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis.


PREFERRED QUALIFICATIONS

  • Previous technical internship(s).
  • Experience with distributed, multi-tiered systems, algorithms, and relational databases.
  • Experience in optimization mathematics such as linear programming and nonlinear optimization.
  • Effectively articulate technical challenges and solutions.
  • Ability to effectively articulate technical challenges and solutions
  • Adept at handling ambiguous or undefined problems as well as ability to think abstractly


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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
Category
Software and Programming