Software Development Engineer, People Experience Foundation

at  Amazon Development Centre Scotland Limited

• Experience (non-internship) in professional software development
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  We are the People Experience Foundation (PXF) organization, responsible for building the web frameworks, user-facing applications, distributed web services and data services that support Amazon employees every day by teaching and reinforcing our unique Day 1 culture. Our technology solutions are powered by data, machine learning, smart automation, and a human-centred design approach. They help Amazonians take actions, guide them through processes, and enable them to self-serve, force multiplying their productivity and providing them more time to spend delivering for customers. We provide the one-stop experience that Amazonians use daily to manage their employment, grow their career, manage their teams, and remain connected to life at Amazon.
  Key job responsibilities

As a Software Development Engineer in the PXF Data Products org, you will be responsible for:

• Contributing to the design, implementation, and evolution of highly scalable, robust, distributed systems.
• Solving complex customer problems, favouring simple, but effective, solutions.
• Choosing the right technology for the problem.
• Decomposing work into milestones and executing against those commitments.
• Diving deep on technical issues, solving problems that may span different teams and disciplines.
• Mentoring other engineers, helping to develop their skills and ability to independently deliver.

About the team
You will be joining a team of talented Software Engineers who own the systems responsible for instrumentation, measurement, and experimentation across our employee-facing products. In partnership with peers in other disciplines, including Data Engineers, Product Managers and Scientists, you’ll solve complex problems on behalf of our customers. You will have an exceptional opportunity to grow your technical and non-technical skills while working on products that make a real difference to Amazonians worldwide.
We are open to hiring candidates to work out of one of the following locations:

Edinburgh, MLN, GBR

• Bachelor’s degree in computer science or equivalent
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel: +448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel: +3531800851489)

• Contributing to the design, implementation, and evolution of highly scalable, robust, distributed systems.
• Solving complex customer problems, favouring simple, but effective, solutions.
• Choosing the right technology for the problem.
• Decomposing work into milestones and executing against those commitments.
• Diving deep on technical issues, solving problems that may span different teams and disciplines.
• Mentoring other engineers, helping to develop their skills and ability to independently deliver