Software Development Engineer

Who you are

• Successful candidates will have strong technical ability, self driven, excellent teamwork, and communication skills, and a motivation to achieve business results in a fast-paced environment
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience (non-internship) in professional software development
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• 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

What the job involves

• We are looking for a Software Engineer to optimize ad matching for Amazon’s programmatic advertisement products
• In this role you will work at the forefront of high scale low latency customer-facing advertising systems
• You will bring best practices in MLOps and Software Engineering to process large datasets and enable the development foundation ML models in advertising
• Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for Amazon's business
• You will embody engineering rigor, designing and executing proofs of concept that validate the technical efficacy and business value of our product hypotheses
• Then bringing them into production, balancing speed of execution with operational excellence
• Work side by side with our scientists to deliver code changes impacting our ads stack
• Rapidly prototype and test many possible hypotheses/implementation alternatives in a high-ambiguity environment, making use of both quantitative analysis and business judgement
• Work with very large datasets
• Integrate successful experimental results into large-scale, highly complex Amazon production systems capable of handling 100,000s of transactions per second at low latency
• Automate, monitor and self heal our systems
• You will partner with our product teams, bringing your own ideas to the conversation and aligning on work, adjusting priorities based on business requirements and fast iteration on experiments
• You will work with scientists on rapid data gathering prototypes and analyses and represent the rigor of engineering in the conversation; you will engage with scientists, product and finance to align on the benefits of the proposed approach
• You will help harmonise our product stack, enabling simple monitoring and self healing that allow us to do more with less through automation and rapid diagnostic tools