AWS SageMaker is looking for you a Senior Software Development Engineer interested in democratizing machine learning (ML) and empowering the world to do more with it.
Our team is building a platform to enable Scientists and Software Developers to design, build, train and tune ML models quicker and easier.
Our product consists of APIs, SDKs, AWS Console UI, a growing library of ML algorithms and a highly available platform capable of hosting and automatically tuning customer's ML models.
We develop and run secure, highly available, robust and reliable distributed systems using latest technologies. You will own platform features end-
to-end and work with your team-mates to turn them into reality following best engineering practices.
In this highly visible position you will have possibility to directly influence technical decisions as well as our business strategy.
You will be driving engineering best practices and mentoring junior engineers.
You will lead architecture and design decisions.
You will innovate and simplify the process of creating interfaces for all Amazon Web Services.
You will be part of an agile team that delivers well-tested and reviewed releases.
If this sounds exciting, then come and join our team where you will be designing, implementing and shipping new and exciting ML platform features.
Bachelor’s Degree in Computer Science or related field
8+ years of professional experience in software development
Experience in mentoring junior software engineers to improve their skills, and make them more effective, product software engineers
Experience in data structures, algorithm design, complexity analysis, object-oriented design
Proficiency in at least one modern programming language such as Java, Scala, Python, C++, C#
Experience in professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Experience with building complex software systems that have been successfully delivered to customers
Experience with Machine Learning, data mining, and / or statistical analysis tools
Experience in communicating with users, other technical teams and senior management to collect requirements, describe software product features and technical designs
Proven ability to take a project from scoping requirements through actual launch of the project