Sr. Software Dev Engineer, AWS WAF Bot Control and Fraud Prevention

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language 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
- 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

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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
What does WAF (Web Application Firewall) do? We make it easy for customers to author and associate firewall policies to help protect their web applications from attacks by allowing them to configure rules that allow, block, monitor (count), or CAPTCHA web requests based on conditions that they define. These conditions include IP addresses, HTTP headers, HTTP body, URI strings, SQL injection and cross-site scripting. By supporting association with CloudFront, Application Load Balancer, API Gateway, and AppSync customers can protect their applications and resources whether all in on the Cloud, maintaining on premise data centers, or using a hybrid Cloud approach.

What challenges does the WAF Team tackle?
We build a highly available low latency distributed system that allows customers to propagate changes worldwide in minutes to respond to active attacks in real-time. We’re fully integrated with several others AWS Services to give customers the insight and control they need.

What is special about the WAF Team?
We own the direct customer experience as well as the per request processing of rules for CloudFront, API Gateway, Application Load Balancer, and AppSync. Not only do we build an AWS Security service, but we’re a customer of AWS using other AWS services to provide the solutions to our customers that scale and seamlessly integrate with their existing workflows. Leaders on our team get to solve some of the hardest computer science problems including building highly available distributed micro-services and global scaling across both AWS Regions and CloudFront edge locations.

Who we are looking for?
We're looking for someone that can play a lead role on the team and influence how we design, develop, build, deploy and support AWS WAF. To be successful in the role, you must be able to research, innovate and create unique solutions. There is no precedent to follow in this problem space. You will be involved from inception to deployment and beyond. You’ll interact with our customers, gathering requirements, designing, implementing, testing and supporting the product operationally; soup to nuts. You will be expected to use your technical background and have a significant impact on the direction of AWS WAF as well as new services that we develop in the future.





Key job responsibilities
Key job responsibilities
In this role, you will be a technical expert with significant scope and impact. You will work closely with a group of Software Development Engineers, Product Managers, and Data Scientists to fully own and deliver advanced ML based capabilities in the product.

Successful candidates must have:
Strong software engineering background with familiarity or experience with data analytics and machine learning based systems
Experience working in high scale environments where automation is key to success
A preference for Agile methods, strong coding and documentation practices.