21 hours ago
Base Salary
$144k - $194k/yr
Responsibilities
- Design, build, and operate production data pipelines ingesting diagnostic, telemetry, and repair-ticket data from Trainium and Inferentia fleets.
- Develop metrics, alarms, and anomaly detection for test regressions, failure-rate shifts, and new failure signatures.
- Build dashboards and visualizations covering failure rates, failure signatures, first-pass yield, and repair latency.
- Analyze fleet-scale data to identify root causes and distinguish hardware faults from software defects and test noise.
- Define evidence standards for moving diagnostics from observation mode into production-blocking decisions.
- Improve data quality and pipeline reliability for downstream consumers.
- Write analyses and design documents for technical and non-technical audiences.
Requirements
- At least 3 years of non-internship professional software development experience.
- At least 2 years of experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.
- 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: at least 3 years covering the full software development life cycle, including coding standards, code reviews, source control, build processes, testing, and operations.
- Preferred: bachelor's degree in computer science or equivalent.
- Preferred: experience with telemetry or diagnostic data from large server fleets, operational time-series metrics, anomaly detection, server hardware, or data center operations.
Benefits
- Amazon offers health insurance, 401(k) matching, paid time off, parental leave, and other benefits including mental health support, flexible spending accounts, and adoption and surrogacy reimbursement.
- Compensation may include sign-on payments and restricted stock units in addition to base salary.
- The role is located in Austin, Texas.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.