Jobs at Amazon Web Services

Key job responsibilities

• Deliver real world production systems at AWS scale.
• Work closely with the business to understand the problem space, identify the opportunities and formulate the problems.
• Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Analyze complex support case datasets and metrics to drive insight
• Design, build, and deploy effective and innovative ML solutions to optimize case routing
• Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
• Drive collaborative research and creative problem solving across science and software engineering team
• Propose and validate hypothesis to deliver and direct our product road map
• Work with engineers to deliver low latency model predictions to production

We are open to hiring candidates to work out of one of the following locations:
Cape Town, ZAF

BASIC QUALIFICATIONS

•  6+ years of building machine learning models or developing algorithms for business application experience
•  PhD, or Master's degree and 6+ years of applied research experience
•  Experience programming in Java, C++, Python or related language
•  Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

•  Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
•  Experience with large scale distributed systems such as Hadoop, Spark etc.

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Key job responsibilities
In our team, engineers have the opportunity to contribute to the complete vertical stack of an SOA based system, which is horizontally connected to most systems in the larger Amazon ecosystem. Our SDEs use a variety of open source technologies, native AWS services as well as services internal to AWS. We code mostly in Java, JavaScript and Python, and build on technologies powering the web such as Angular/Bootstrap, Node as well as a broad range of in-house Amazon Cloud technologies and native AWS technologies, such as Route53, Lambda, API gateway, AppSync, KMS, AWS Connect, Lex, Kendra, Redshift, QuickSight and DynamoDB.

Our team is growing and hiring software development engineers at all levels. Depending on the level, you will demonstrate knowledge in the following disciplines at varying levels:-

Software Development

•  You recognize and adopt best practices in software development engineering: design, testing, version control, documentation, build, deployment, and operations.
•  You write high quality, maintainable, and robust code
•  You can define APIs and integrate them into usable interfaces
•  You understand how web applications work, perform and scale. You are comfortable with troubleshooting and problem analysis

Problem Solving

•  You solve problems at their root, stepping back to understand the broader context.
•  You develop pragmatic solutions. You build flexible/scalable systems without over-engineering and choose simple, straightforward solutions over more complex ones. Where existing solutions are known, you use them.
•  You understand fundamental data structures and algorithms and know how, when and when not to use them.
•  You anticipate and prevent future problems from occurring

BASIC QUALIFICATIONS

•  7+ years of non-internship professional software development experience
•  7+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
•  5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
•  Experience as a mentor, tech lead or leading an engineering team

PREFERRED QUALIFICATIONS

•  5+ 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
•  Experience building complex software systems that have been successfully delivered to customers