Description

The Robot Detection team is seeking a Software Development Engineer passionate about big data technologies, cybersecurity and machine learning. We combine these three areas to accomplish the mission to isolate traffic generated by web bots on Amazon's customer-facing websites and applications.

You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers.

Key job responsibilities
You'll be responsible for implementing state-of-the-art tools and scalable distributed systems to automatically process and analyze billions of hits per day using parallel algorithms on top of Amazon Web Services' cloud-computing infrastructure.

You will research novel methodologies to separate traffic data originating from web bots from those originating from human customers. You will have the opportunity to redesign processing systems or propose, design and implement new ones.

The ideal candidate for our team is a thinker and a doer: someone who loves sophisticated algorithms and mathematical precision, while enjoying implementing real large-scale distributed systems.

You will have a constant focus on latest trends in terms of web bots. You'll be part of the working groups root causing events caused by bot generated traffic. You make sure the tooling your team owns is still relevant in terms of accommodating logic to detect latest bot entities, and when not, you'll be instrumental in major system redesigns.

About the team
The web traffic classification provided by our group enables internal teams to improve their services availability, gather reliable business metrics and provide the best experience to both customers and robots.

Inclusive Team Culture
Here at Amazon, we embrace our differences and are committed to furthering our culture of inclusion. We host frequent learning experiences to ensure DEI is consistently treated as a priority. We actively recruit people from diverse backgrounds to build a supportive and inclusive workplace, and take steps to ensure employees have a sense of belonging, value, and opportunity. Our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice. The perks of being an Amazon employee don't stop at collaborating with great people on exciting and innovative projects. Amazon's benefits support the needs of our diverse workforce and their family members, no matter what stage they're at in their life or career.

Basic qualifications

- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preferred qualifications

- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- In-depth knowledge of web-related protocols
- Experience with Spark, or other similar big data processing frameworks
- Experience with AWS services for big data (i.e. Redshift, Athena, EMR, Kinesis, CDK)
- Strong Data analysis skills
- Expertise with machine learning algorithms is considered a plus
- Strong sense of ownership, urgency and drive

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.