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Description
Amazon Enterprise Engineering (EE) builds and operates the internal productivity platforms that Amazon employees rely on: Slack, M365, WorkDocs, Quip, Asana, and Kingpin. The team manages these platforms at Amazon scale and is now building a new layer on top of them, a self-service data governance platform that handles how employee data in these systems is accessed, classified, and audited for legal and privacy purposes. The platform spans the full stack: a consumer-facing request portal, a policy rules engine that treats Legal and Privacy requirements as tested software, a data classification pipeline operating at item level across millions of records, high-scale replication pipelines from source systems into a governed data lake, and a secure analytics environment. This is a greenfield build. The team is small and the problem is large. Engineers own significant surface area, work directly with Legal, Privacy, and Security stakeholders to translate policy requirements into enforcement logic, and build systems that will govern data access for every Amazon employee.
Are you passionate about building software end-to-end? As a Software Development Engineer on this team, you will design, develop, and deliver features that solve real problems in data governance, privacy enforcement, and secure access. You will work across the full software development lifecycle: from understanding the needs of Legal, Privacy, and Security stakeholders to deploying and operating production systems that govern data access for every Amazon employee. This role offers the opportunity to apply Generative AI where it creates real leverage. If you are a self-starter who thrives on turning ambiguous problems into clear, simple solutions, we want to hear from you.
Key job responsibilities
Design and implement software solutions across the full development lifecycle, including requirements gathering, architecture, coding, testing, deployment, and operational support.
Write high-quality, maintainable code and actively participate in code reviews, providing constructive feedback to peers and mentoring team members on best practices.
Identify root causes of operational issues and implement permanent fixes, continuously improving system reliability and performance.
Collaborate with customers, stakeholders, and cross-functional teams to understand business needs and deliver the right technical solutions that balance short-term priorities with long-term architectural goals.
Evaluate and integrate new tools and approaches, including generative artificial intelligence capabilities, to improve team productivity and software quality.
About The Team
Amazon Enterprise Engineering (EE) builds and operates the internal productivity and collaboration platforms that Amazon employees use every day: Slack, M365, WorkDocs, Quip, Asana, and Kingpin. The team owns both the platforms and the governance frameworks that protect employee data as it moves across those systems.
Basic Qualifications
Bachelor's degree or equivalent
3+ years of non-internship professional software development experience
Preferred Qualifications
Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Company - ADCI HYD 13 SEZ
Job ID: A10561347
Work arrangement
No
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