Software Development Engineer Content Analytics, Technical Content Experience
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Job Location:
Seattle, OR - USA
Yearly Salary:
$ 129300 - 223600
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
Build and maintain a critical data warehouse and analytics platform that processes comprehensive usage data for the AWS documentation site. Create high-quality datasets and AI-accessible data services that democratize data science across AWS documentation teams through innovative MCP (Model Context Protocol) servers.
Develop scalable data pipelines and AI-native data access patterns that enable both human analysts and AI systems to derive insights from millions of user interactions. Pioneer the integration of traditional analytics infrastructure with AI workflows making complex data science accessible through natural language interfaces.
Join a specialized team at the forefront of AI-powered analytics building the data foundation that supports strategic decisions for one of the most visited technical documentation sites in the world.
Key job responsibilities
- Maintain and enhance data pipelines processing AWS documentation usage analytics
- Create high-quality datasets and AI-accessible data services for content strategy insights
- Build MCP servers that democratize data science through natural language interfaces
- Ensure reliable operation of production analytics infrastructure with proper on-call coverage
- Integrate platform with AI-first content platform for enhanced analytics capabilities
- Collaborate with content teams to translate business questions into accessible datasets
A day in the life
Youll start your day reviewing analytics data showing how millions of AWS customers interact with documentation pages identifying trends that inform content strategy decisions. You might investigate unusual traffic patterns or work on enhancing data pipelines to capture new metrics that help content teams understand user needs.
Your work directly supports data-driven decisions across the AWS documentation ecosystem. Youll collaborate with content strategists and product managers to create clean accessible datasets that answer critical questions about user behavior content effectiveness and documentation discoverability.
Part of your role involves building MCP servers that allow AI systems to interact naturally with our analytics data. Youre essentially democratizing data science - enabling both technical and non-technical team members to ask complex questions about user behavior using natural language with AI agents handling the underlying data queries and analysis.
About the team
Youll join the team that operates the analytical backbone of AWS documentation strategy. Our platform processes massive amounts of usage data to provide insights that drive content improvements user experience enhancements and strategic decisions across the documentation ecosystem.
The team works at the intersection of data engineering analytics and content strategy building systems that transform raw usage data into actionable insights. We support content teams product managers and leadership with the data they need to make informed decisions about one of AWSs most critical customer touchpoints.
Were currently expanding our analytics capabilities to support our AI-first content platform presenting exciting opportunities to build new types of insights about AI-generated content performance and user interaction patterns with agentic authoring workflows.
- 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
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Develop scalable data pipelines and AI-native data access patterns that enable both human analysts and AI systems to derive insights from millions of user interactions. Pioneer the integration of traditional analytics infrastructure with AI workflows making complex data science accessible through natural language interfaces.
Join a specialized team at the forefront of AI-powered analytics building the data foundation that supports strategic decisions for one of the most visited technical documentation sites in the world.
Key job responsibilities
- Maintain and enhance data pipelines processing AWS documentation usage analytics
- Create high-quality datasets and AI-accessible data services for content strategy insights
- Build MCP servers that democratize data science through natural language interfaces
- Ensure reliable operation of production analytics infrastructure with proper on-call coverage
- Integrate platform with AI-first content platform for enhanced analytics capabilities
- Collaborate with content teams to translate business questions into accessible datasets
A day in the life
Youll start your day reviewing analytics data showing how millions of AWS customers interact with documentation pages identifying trends that inform content strategy decisions. You might investigate unusual traffic patterns or work on enhancing data pipelines to capture new metrics that help content teams understand user needs.
Your work directly supports data-driven decisions across the AWS documentation ecosystem. Youll collaborate with content strategists and product managers to create clean accessible datasets that answer critical questions about user behavior content effectiveness and documentation discoverability.
Part of your role involves building MCP servers that allow AI systems to interact naturally with our analytics data. Youre essentially democratizing data science - enabling both technical and non-technical team members to ask complex questions about user behavior using natural language with AI agents handling the underlying data queries and analysis.
About the team
Youll join the team that operates the analytical backbone of AWS documentation strategy. Our platform processes massive amounts of usage data to provide insights that drive content improvements user experience enhancements and strategic decisions across the documentation ecosystem.
The team works at the intersection of data engineering analytics and content strategy building systems that transform raw usage data into actionable insights. We support content teams product managers and leadership with the data they need to make informed decisions about one of AWSs most critical customer touchpoints.
Were currently expanding our analytics capabilities to support our AI-first content platform presenting exciting opportunities to build new types of insights about AI-generated content performance and user interaction patterns with agentic authoring workflows.
- 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
- Bachelors degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key Skills
- Compliance Management
- Information Management
- Proofreading
- Social Intelligence
- Content Quality
- Factual Information
- Video Packages
- Conduct Interviews
- Records Management
- Creative Content
- Editorials
- News Stories
- Newsgathering
- Content Reviews
About Company
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