System Development Engineer II: Automation & Fleet Ops

Amazon Inc.; Cupertino (CA); On-site; USD 187,000 - 201,000; Full time

Job summary

Amazon Data Services, Inc. in Cupertino is seeking a System Development Engineer II to build tools that automate fleet operations and respond to large-scale events.

You will diagnose critical software and system failures, mentor other engineers, and provide first-line daytime support for operational tickets across software teams. This role emphasizes automation, efficiency, and scalability across Windows, Linux, and Unix environments.

Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Statistics, Mathematics, or related field with 1 year of experience, or 3 years of related experience.
• Experience with supporting large-scale, multi-tiered, multi-threaded, distributed software applications and services.
• Experience designing provisioning platforms using shell scripting; strong Windows/Linux/Unix environment knowledge.
• Proficiency in SQL and scripting languages (SQL, PowerShell, Perl, Bash, Python, PHP, or Ruby).

Responsibilities

• Build tools that automate and streamline processes for fleet operations.
• Respond to large scale events involving fleets and diagnose critical failures.
• Mentor engineers and assist in training new engineers.
• Provide daytime support for operational tickets across software teams.
• Propose and implement technical solutions for automation, efficiency and scalability.

Skills

Large-scale software applications

Shell scripting

SQL

PowerShell/Perl/Bash/Python/PHP/Ruby

Education

Bachelor's degree in CS/Engineering/Math or related

Job description

Amazon Data Services, Inc. in Cupertino is seeking a System Development Engineer II to build tools that automate fleet operations and respond to large-scale events.

You will diagnose critical software and system failures, mentor other engineers, and provide first-line daytime support for operational tickets across software teams. This role emphasizes automation, efficiency, and scalability across Windows, Linux, and Unix environments.