Software Development Engineer, Data Center Engineering Analytics

Job summary

DESCRIPTION Amazon is looking for a highly analytical Software Development Engineer to join the AWS Data Center Engineering team. The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience.

Benefits

Qualifications

• The Data Center Engineering team owns the availability of AWS data centers, and has a direct impact on the customer experience.
• We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences.
• 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,
• 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
• 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 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.

Responsibilities

• As a Software Dev Engineer, you will partner with Data Engineers and partner teams to build tooling and Gen AI models to harness the vast amount of operational data from the AWS fleet.
• You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making.
• Design, develop, and maintain scalable data analytics platforms and

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