Amazon Development Center U.S., Inc.
Technology
SrSoftwareDevelopmentEngineer,AWSIdentityAnalyticsPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Software Development Engineer, AWS Identity Analytics Platform at Amazon Development Center U.S., Inc.. Skills: Data platform, AI-driven analytics, Petabyte-scale data. Design data ingestion pipelines. Build data ingestion pipelines”
Industry & Context.
Systems thinking
What They're Looking For.
Must Have
5+ years software development, 5+ years programming experience, 5+ years system design, Experience mentoring, Experience with hiring process
What You'll Do.
Design data ingestion pipelines
Build data ingestion pipelines
Operate data ingestion pipelines
Design transformation pipelines
Build transformation pipelines
Operate transformation pipelines
Design loading pipelines
Build loading pipelines
Operate loading pipelines
Process Identity logs
Process Identity metrics
Process Identity policy data
Build feature engineering infrastructure
Transform raw Identity data
Drive platform resilience
Drive operational excellence
Reduce operational load
Ensure platform scales
Partner with stakeholders
Contribute to technical direction
Participate in design reviews
Raise engineering bar
Help team members grow
How You'll Work.
Team & Collaboration
Partner with Applied Scientist; Partner with leadership; Partner with product managers; Partner with BIEs; Partner with dependencies
Full Job Description
AWS Identity Analytics is re-imagining 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 Sr Software Development Engineer on the Identity Analytics team, you will lead and 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 the engineering partner to our Applied Scientist — translating research prototypes into production-grade systems that run reliably at scale. What makes this role distinct is the combination of deep platform engineering with direct scientific impact: the pipelines you build and the infrastructure you operate determine the quality, freshness, and reliability of every insight our customers receive. Key job respo
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