Software Development Engineer, AWS Industry Products, AIP SC

Amazon Web Services
 Arlington, VA

Desciption

Job summary

AWS Industrial Products (AIP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to real world industry problems. We dive deep with industry leaders to solve problems and unblock industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We work closely with strategic customers to bring their domain expertise and our digital and innovation experience to solve industry-wide challenges on AWS.

We are looking for Software Development Engineers obsessed with customer success, passionate about simplification and design-thinking and excited to dive deep into the growth opportunity of delivering new product categories to new customer types in an emerging technology space. If you’re interested in exploring a new space and seeing how a product is built from scratch and are comfortable with that ambiguity, then this role may be a good fit for you! Our engineers build not only hard technical skills, but they build soft skills too about how to engage more closely in defining a product and how to build code that is more flexible, nimble, and extensible as we iterate on finding the right product-market fit. We will have to solve scaling problems that are bigger than many external companies, even in the early stages so exposure to distributed computing techniques is part of our DNA.

You have probably heard about the challenges supply chain has been facing for a while: lead times are maximized and the wait times are massively increased by process inefficiencies. Here, at AWS Industry Products–Supply Chain (AIP SC), we are working on reducing information lag to near real-time levels and eliminating instances of miscommunication or indeed missed communications! Our work is helping customers in many different industries improve supply chain and improve customer service and sustainability of those supply chains.

Our technical challenges involve back-end software engineering, edge computing, applied science, and front-end development. We need to develop and apply quantitative algorithms (e.g. machine learning, computer vision, network optimization) to make industry process analysis relevant and actionable for operations engineers. We build software and information systems to process massive scale operational data, infer information relationship across complex systems, train decision models and apply them to critical operations at industrial scale. We work very closely with innovative, market leading customers to drive effective digital transformation of entire industries and the supply chains that support them.

As a senior member of the team, you can have a huge impact on everything from the functionality we deliver for our customers, to the design and architecture of our systems, to the algorithms we employ, to the culture we build.

Basic Qualifications

  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.
  • Bachelors or Masters Degree in Computer Science or related field of studies
  • 3+ years of professional software development experience in at least one object-oriented language (e.g., Java, Python, C/C++)
  • 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preffered Qualifications

  • Excellent understanding of resource and design requirements for highly scalable systems.
  • Ability to mentor other software developers and to improve development best practices.
  • Practical experience with key enabling technologies such as serverless, machine learning, data science or analytics pipelines.
  • Entrepreneurial spirit interested in experimentation and testing long held industry assumptions

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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