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Software Dev Engineer, AWS Identity Analytics

$143.7k - $194.4k
Full-time

Amazon Locker

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 teams engineering practices and mentor SDE I engineers and interns.

- 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
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors 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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually


Required Experience:

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Vacancy posted 1 day ago
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