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2+ years of experience in iOS/macOS development (Swift, Objective-C)
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Amazon Development Center U.S., Inc.

Software Dev Engineer, AWS Identity Analytics

Seattle, WA, United States

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Job details

Posting language: English
Posted: Nov 10, 2026

Original 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 Software Development Engineer II on the Identity Analytics team, you will implement and optimize features across our data platform, spanning software, data management, cloud infrastructure, ML models, and AI-powered solutions. You will design and operate the ingestion, transformation, and serving pipelines that feed our ML models and LLM-powered agents. You will partner closely with our Machine Learning Engineers to turn models and prototypes into production-ready systems that run reliably at scale. What makes this role distinct is the combination of hands-on platform engineering with direct impact on our AI capabilities: the features you deliver and the pipelines you operate shape the quality, freshness, and reliability of every insight our customers receive

Key job responsibilities

Implement, test, and optimize features across the data platform, including software services, data management, cloud infrastructure, ML models, and AI-powered solutions.
Design, build, and operate ingestion, transformation, and serving pipelines that feed ML models and LLM-powered agents.
Partner with Machine Learning Engineers to turn models and prototypes into reliable, production-ready systems.
Improve data quality, freshness, and reliability through monitoring, alerting, and automated validation.
Take part in on-call, troubleshoot production issues, and drive root-cause fixes for your components.
Write clear design documents for features and components, and take part in design and code reviews.
Help improve the team's engineering practices, and mentor SDE I engineers and interns. Basic qualifications
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
1+ years of software development engineer or related occupational experience
1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
1+ years of Object Oriented Design experience
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Experience programming with at least one software programming language Preferred qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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More about this job

Skills

AWS
Google Analytics
Process data
Software development
C#
C++
Oracle Java
Perl
Computer science
Machine learning
Recruitment
Mental health

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Work requirements

Jobs in the United States