Systems Engineer II

Job ID: 25-07885 Pay rate range - $63/hr. to $66/hr. on W2
Must Have

Experience with C, C++, or Java.

Strong system troubleshooting skills.

Job Qualifications:

Core Requirements:

• In-depth knowledge of & experience deploying and operating Linux or other UNIX variants in a data center environment.
• Relentless passion for frugality and out-of-the-box engineering.
• Strong system troubleshooting skills.
• Proficiency and experience in automation via Perl/Python programming and shell scripting.
• Good understanding of standard internet protocols (Ethernet, ARP, IP, ICMP, UDP, TCP, SSL, DNS, HTTP, etc.)
• Demonstrable grasp of security best practices in server configuration, tool development, and access controls.
• Experience in building SQL queries.
• Experience with C, C++, or Java (Python)
• Writing code

Highly Desirable Attributes:

• Knowledge of VCS (git, mercurial, svn).
• Understanding of AWS technologies.
• Experience deploying or managing servers in large-scale, geographically diverse environments.
• Understanding & experience in managing and monitoring large-scale disk sub-systems.
• Operational knowledge of common enterprise switching and routing platforms

Leadership Principles

• Dive deep
• Bias for action
• Owership

The successful engineer in this role will:

• Understand how commodity servers, operating systems, and networks function, perform, and scale.
• Possess superb troubleshooting, project management, and problem analysis skills.
• Drive technical innovation and efficiency in infrastructure operations via automation.
• Design server monitoring and management solutions using automation and self-repair.
• Create processes that enhance operational workflow and provide positive customer impact.
• Dive deep to resolve problems at their root, looking for failure patterns amenable to long-term solutions via simplification and automation.
• Avoid re-inventing the wheel and prefer appropriately simple, repeatable solutions over more complex and failure-prone ones.
• Recognize and adopt best practices in documentation, testing, security, operational support at scale, and efficient use of resources.
• Develop appropriate metrics to demonstrate performance at improving operational efficiency.