Software Development Engineer II

Description

As a Software Development Engineer 2 at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills:

• You write high quality, maintainable, and robust code, often in Java/C#/Python/C++/Go/Ruby on Rails/node/php.
• You recognise and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
• You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Responsibilities:

• You solve problems at their root, stepping back to understand the broader context.
• You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
• You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
• You recognise and use design patterns to solve business problems.
• You understand how operating systems work, perform and scale.
• You continually align your work with Amazon's business objectives and seek to deliver business value.
• You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
• You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
• You communicate clearly with your team and with other groups and listen effectively.

Requirements:

• Bachelors or Masters in Computer Science or relevant technical field with 3+ years of experience in Design and Development
• Experience in software development and full product life-cycle.
• Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby, php.
• Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability
• Proficiency in SQL and data modeling.