Amazon Development Center U.S., Inc.
Technology
SoftwareDevEngineer,AWSIdentityAnalyticsPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Dev Engineer, AWS Identity Analytics Platform at Amazon Development Center U.S., Inc.. Skills: AI-driven analytics, Petabyte-scale data processing, MLOps. Design data ingestion pipelines. Build data ingestion pipelines”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design/architecture experience, 1+ years large-scale software development experience, Bachelor's degree or foreign equivalent
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science, Machine Learning fundamentals knowledge, LLM fundamentals knowledge, Transformer architecture knowledge, Training/inference lifecycles knowledge, Optimization techniques knowledge, AI product development experience, AI product deployment experience, AI product management experience
What You'll Do.
Design data ingestion pipelines
Build data ingestion pipelines
Operate data ingestion pipelines
Design data transformation pipelines
Build data transformation pipelines
Operate data transformation pipelines
Design data loading pipelines
Build data loading pipelines
Operate data loading pipelines
Build feature engineering infrastructure
Maintain feature engineering infrastructure
Reduce operational load
Ensure platform scales
Understand analytical requirements
Build onboarding capabilities
Integrate service data
Participate in design reviews
Raise engineering bar
How You'll Work.
Team & Collaboration
Partner with Applied Scientist; Partner with BIEs; Partner with product managers
Full Job Description
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 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 •
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