Software Development Engineer - Analytics, Reporting

- 3+ years of non-internship professional software development experience
- 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 software programming language
- 3+ 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 $129,300/year in our lowest geographic market up to $223,600/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.
Are you passionate about using Big Data to build customer trust and grow new business? Global advertisers rely on our team's performance insights to drive future investment in Amazon's Advertising Platform and improve the relevance of ads shown to customers.

We’re looking for strong Software Engineers that can build upon technologies such as Elasticsearch, Spark, Hive and Presto, as well as AWS services like Elastic Map Reduce (EMR), Redshift, Kinesis and DynamoDB to build the next generation of our analytics and visualization platform. If this sounds interesting we’d love to hear from you!
Amazon is well positioned to grow its share of a fast growing online advertising industry due to its unique assets - e-commerce data, service oriented architecture, and startup culture. Be part of a team of industry leading experts that builds and operates one of the largest big data analytics platform at Amazon. Amazon is applying the latest big data technologies available to change the way marketers purchase, track, measure, and optimize their advertising spend. We apply these technologies on terabytes of data (over 10B new events per day) and operate clusters that push scalability limits of the existing technologies. We seek to measure every possible signal indicating impact of advertising to provide the most objective result of marketing spends.

This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.






About the team
MADS Reporting Engines team owns query engines and tier 1 services that provide query access to fresh, consistent campaign performance metrics across Amazon's ad products at scale. The services provide data to 100+ 1P clients including all advertiser-facing UIs and APIs that include campaign measurements.

Reporting Engines serve 685MM+ queries with 99.95% availability on 5.1+ Petabytes of data while continuously ingesting 450k+ metric updates/second and maintaining a data freshness SLA of 60 minutes for traffic and 90 minutes for purchase metrics. An SDE II in this team possesses an in-depth understanding of underlying storage and search technologies such as Elasticsearch, Elastic Map Reduce (EMR) and Iceberg.

SDE IIs work on our highly resilient and latency intensive Query Service, this service is an interface for all internal traffic to access their dimensional and performance metrics across all ad programs and cardinalities. You also work on our Control Plane, supporting creation, scaling and monitoring of Elasticsearch clusters in Elastic Kubernetes Service (EKS). You implement automated solutions to common Control Plane tasks deployments and upgrades while also supporting a friendly customer experience in a user-friendly front end.

An SDE II in this team seeks excellence in improving the team's operational and development processes, follows engineering best practices, and constantly improves. As the primary source for performance measurements, reporting engines is operationally intensive. You must have the technical depth to quickly identify the root cause of tickets, resolve the root causes of endemic problems, constantly seek opportunities for optimizations and innovations that reduce system availability risks, improve throughput, and reduce support costs.

As an SDE II, you are an influencer in team strategy, evaluating technical trade-offs between short-term business or operational needs and long-term technology requirements. You provide a service-wide perspective and guidance to shape the architecture of the service to meet the long-term needs of the business and systems. You participate in projects that support recurring business needs of customers or scalability of our systems.