Skip to main content

Software Development Engineer, Big Data, AWS WAF

Job ID: 2060947 | Amazon Dev Center U.S., Inc.


Job summary
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, or monitor (count) 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. We've recently launched AWS WAF Bot Control that gives customers visibility and control over pervasive bot traffic that can consume excess resources, skew metrics, cause downtime, or perform other undesired activities.

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. With CloudWatch and Sampled Web Requests we give customers the visibility they need see which requests were blocked, allowed, or counted and what rule was matched on a given request (i.e., this web request was blocked due to an IP address condition, etc.). Using AWS Firehose, customers can store their full WAF logs for compliance and auditing as well as use them for debugging and additional forensics. We support using AWS Config to track historical changes to the rules and metrics associated with their WAF RuleGroups. Using CloudFormation customers can automate the deployment of their WAF Security Automations on the AWS Cloud.

You will 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.

We own the direct customer experience as well as the per request processing of rules for CloudFront, API Gateway, and ALB. 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. Engineers on our team get to solve some of the hardest computer science problems including building highly available distributed micro-services, global scaling across both AWS Regions and CloudFront edge locations, and processing millions of requests with single digit millisecond latency.

For employees based in Colorado, the base pay range for this position is $143,700.00 to 194,400 to USD per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site. -

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, Data Scientists, and Business Intelligence Engineers to create the data infrastructure and pipelines necessary to drive our team’s initiatives.

Successful candidates must have a strong data engineering background with hands-on
experience in putting experimental machine learning models into production-standard data pipelines:
-Expertise with big data processing systems like Apache Spark.
-Experience with technologies like AWS EMR, Athena, Step Functions, and Sagemaker.
-Strong coding practices, including good design documentation, unit testing, peer code reviews, and a preference for agile methods.

About the team
About Us

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.


  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.


  • Experience working in Linux based environments
  • Advanced degree in Computer Science or a related technical field.
  • Experience working on large-scale, highly available, low latency, high quality systems
  • Technical experience in networking or web application security
  • Experience in big data technologies like Spark, Hadoop

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit