"Alerted.org

Description

Our Machine Learning Acceleration (MLA) team develops the SOCs that are used to power today's AI workloads in datacenters all around the world. As a DevOps Software Engineer, you'll contribute to the project at the ground level by automating workflows and developing large-scale solutions that accelerate silicon development - it's still Day One here at Amazon!

We're searching for an experienced DevOps Software Engineer who is familiar with RTL design and/or verification processes, with a proven track record of handling challenges at scale. In this role, you'll be working closely with architects, designers, verification engineers, and other team members to gather metrics, visualize data, and build comprehensive dashboards, monitors, and alerts that enable tracking, forecasting, and debugging of infrastructure failures.

Key job responsibilities

Key job responsibilities

Design and implement big-data architecture for ASIC development metrics

Partner with teams to identify and integrate relevant metrics into centralized repositories

* Create intuitive dashboards, monitors, and alerts for actionable insights

* Provide technical support for infrastructure issues and troubleshooting

* Optimize design flows and infrastructure efficiency across the silicon development pipeline

Basic Qualifications

- 5+ years of non-internship professional software development experience

- 5+ years of programming with at least one software programming language experience

- Knowledge of DevOps practices and tools including Continuous Integration / Deployment, Puppet, Docker, Kubernetes, Chef etc.

Preferred Qualifications

- Bachelor's degree in computer science or equivalent

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

USA, TX, Austin - 168,100.00 - 227,400.00 USD annually