Additional Information
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 responsibilities
- Design, build, and operate scalable data ingestion, transformation, and loading pipelines that process petabyte-scale Identity logs, metrics, and policy data from IAM, STS, and other AWS Identity services - using services such as AWS Glue, EMR, Spark, Athena, S3, and Redshift.
- Build and maintain the feature engineering infrastructure that transforms raw Identity data into structured datasets ready for ML training, evaluation, and inference.
- Drive platform resilience and operational excellence - designing for failure, building robust monitoring and alerting, reducing operational load through automation, and ensuring the platform scales automatically to the demands of incoming data.
- Own key business goals, partner with the stakeholders (leadership, product managers, BIEs, dependencies) and deliver solutions that meet or exceed the goals.
- Contribute to the team's technical direction by participating in design reviews, raising the engineering bar through code reviews, and bringing a systems-thinking perspective to how the platform scales over the five years and beyond.
- Mentor team members and help them grow in their career
Amazon Development Center U.s · Seattle, WA