Diagnostic Engineer - Seattle, United States - Affirma, LLC

Affirma, LLC Seattle, United States

5 days ago

Full time

Description

Ranked one of Puget Sound Business Journal's "Best Workplaces" and "Fastest Growing Mid-Size Companies" four years in a row, Affirma is expanding and looking to hire talented individuals.
This is an exciting new opportunity with one of our clients

As a Diagnostic Software Developer, your role will be to create, validate, execute, and maintain software solutions for diagnosing and troubleshooting servers and their internal components, such as GPUs, CPUs, SSDs, DIMMs, and power supplies. Your expertise in software programming will be crucial in developing and successfully deploying tools and applications that ensure the health and efficiency of server hardware systems.

Key Responsibilities:

Develop sophisticated diagnostic software tools to identify and resolve hardware issues in server systems.
Design automated testing scripts and programs to assess the performance and reliability of server components.
Work closely with hardware engineers to gain a deep understanding of various server architectures and devise software solutions for hardware testing and diagnostics.
Debug and refine diagnostic software to enhance accuracy and efficiency.
Implement and maintain diagnostic software across various platforms and operating systems using Open-Source tools or vendor specific tools where applicable.
Utilize data analytics and machine learning algorithms to predict failures and optimize server maintenance.
Collaborate with various IT organizations and their support teams to integrate diagnostic software into broader system health monitoring frameworks.
Document software design, development processes, and diagnostic procedures.
Train technical support staff on the usage of diagnostic software tools.
Stay current with emerging technologies and programming languages relevant to diagnostic software development.

Skills and Qualifications:

Bachelor's or master's degree in computer science, Software Engineering, or a related field.
Proficient in programming languages such as Python, C++, Java, or similar languages used in software development and diagnostics.
Strong experience in software development, with a focus on diagnostic tools or related applications.
Understanding of server hardware and the interaction between software and physical components.
Experience with development and debugging tools, version control systems (e.g., Git), and continuous integration/continuous deployment (CI/CD) pipelines.
Knowledge of machine learning techniques for predictive diagnostics is highly desirable.
Strong understanding of Cloud delivery architecture or automated data delivery to Azure or similar.
Ability to use or learn Redfish for accessing server and systems telemetry data as required.
Excellent problem-solving abilities and a methodical approach to software development.
Effective communication skills for collaborating with cross-functional teams.
Self-starter with excellent scheduling and planning skills

Career Path: Opportunities for career growth may include progression to Senior Software Developer, Diagnostic Software Architect, Machine Learning, or Managerial roles within the software development hierarchy.

Performance Goals:

Deliver reliable and effective diagnostic software that reduces system failures and maintenance times.
Demonstrate innovation through the development of at least one proprietary diagnostic tool within the first year.
Improve the detection of hardware issues by enhancing software algorithms, with measurable outcomes in server uptime and performance.

Why Affirma?

One of Washington's Fastest Growing Private Companies & Top 100 Best Companies to Work For (According to Seattle Business Magazine and Puget Sound Business Journal)
Casual environment, surrounded by incredibly intelligent and motivated co-workers, and a performance-driven culture
Flexible Schedule
Opportunity for growth

Affirma is an Equal Opportunity Employer and does not make employment decisions or otherwise discriminates based on race, creed, color, national origin, sex, military status, sexual orientation, or the presence of any sensory, mental, or physical disability, genetic information, or any other category protected by law.

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