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Amazon Enterprise Engineering (EE) in Hyderabad is seeking a Software Development Engineer to design, develop, and deliver features for a self-service data governance platform that protects employee data and enables compliant access at scale.
You will own major parts of the SDLC, collaborate with Legal, Privacy, and Security stakeholders, mentor teammates, participate in code reviews, and explore generative AI to boost productivity and software quality across the stack.
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.
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.
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ADCI HYD 13 SEZ
Job ID: A10561347