Software Dev Engineer, AWS Identity Analytics Platform
Amazon - Seattle, Washington, USA
Posted Mar 24, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
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About this role
Software Dev Engineer, AWS Identity Analytics Platform Seattle, Washington, USA AWS Identity Analytics is reimagining how identity data is understood, acted on, and used to protect customers at scale. We build an AI-driven analytics platform that turns 50+ PB of raw logs and metrics into proactive, actionable insights for AWS Identity leadership and core service teams - including IAM and STS. AWS teams across the organization also rely on our platform for impact analysis related to AWS Auth. Our platform is the foundation on which everything else stands: ingesting petabyte-scale data from dozens of Identity services, transforming it into structured, queryable intelligence, and serving it reliably to the ML models, LLM agents, and dashboards that our customers act on every day. Are you excited by the prospect of building AI-powered solutions that let stakeholders access insights without needing to understand how the underlying data is organized or connected? Do you want to work on petabyte-scale data processing, enrichment, and querying engines? Do you want to work on a platform that directly shapes how AWS Identity services evolve - influencing decisions that affect hundreds of millions of customers globally? Do you thrive in ambiguous, fast-paced environments where your engineering work drives measurable business outcomes? As a Software Development Engineer on the Identity Analytics team, you will own the data platform infrastructure that makes our AI and analytics capabilities possible. You will design and operate the ingestion, transformation, and serving pipelines that feed our ML models and LLM-powered agents. You will be
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