Lead Systems Engineer, High-Performance Computing - job 6 of 20

As a Lead Systems Engineer in High-Performance Computing at ISSE, your primary responsibilities include designing and automating the implementation of server infrastructure to meet business requirements. You'll manage GPU as a Service (GaaS) and high-performance compute platforms, ensuring optimal performance in secure environments. You'll also be involved in infrastructure management, performance benchmarking, and collaborating with technology domain experts to uphold rigorous security and availability standards.

To qualify for the Lead Systems Engineer position in High-Performance Computing at ISSE, you should have a profound understanding of high-performance computing systems, extensive datacenter experience, and expertise in managing IT infrastructures. Proven skills in scripting, automation (like Ansible), and knowledge of x86 technologies, particularly around server components, are essential. A background in evaluating new technologies and a proactive approach to hardware lifecycle management will also be beneficial.

In the role of Lead Systems Engineer at ISSE, you contribute to security in several ways. Your work in maintaining high availability and security in operational environments is vital. You will utilize your advanced knowledge of hardware-level security, BIOS settings, and out-of-band management practices to enhance system reliability and mitigate risks, ensuring that the infrastructure is robust and resilient against vulnerabilities.

A Lead Systems Engineer in High-Performance Computing at ISSE should be familiar with a variety of tools and technologies, including Ansible for automation, PowerShell and Python for scripting, and key protocols like NVME and PCI-E for high-performance systems. Proficiency in managing datacenter environments, as well as a strong grasp of Intel/AMD architectures and GPU systems, will form the foundation of your role in optimizing compute platforms.

The work culture for a Lead Systems Engineer at ISSE is collaborative and innovative, emphasizing teamwork while also valuing individual contributions. With a hybrid work model, you'll enjoy the flexibility of alternating between remote and office work. The environment is dynamic, offering opportunities for continuous learning and professional development, where creativity and efficiency are championed to drive the overall success of high-performance computing initiatives.

When answering this question, detail specific projects where you deployed and optimized GaaS. Discuss the architecture you used, challenges you faced, and how you overcame them, showcasing your problem-solving skills and technical expertise.

Describe your approach, including redundant systems, failover processes, and disaster recovery plans. Highlight tools and technologies you've used to monitor and maintain system health to minimize downtime and maximize availability.

Mention specific resources like industry blogs, forums, webinars, or certifications that you utilize. Highlight your engagement in professional communities and how continuous learning influences your work, demonstrating a proactive approach to professional growth.

Share detailed examples of how you’ve used Ansible to streamline deployment processes or reduce manual tasks. Discuss specific playbooks you’ve written and the impact of automation on enhancing operational efficiencies in your previous roles.

Discuss your systematic approach to evaluating new technologies, including performance benchmarking, testing methodologies, and criteria for compatibility with existing infrastructure. Outline how collaborative evaluations with your team enhance the decision-making process.

Prepare a STAR (Situation, Task, Action, Result) format response. Explain the context, what you identified as the issue, how you addressed it, and the positive outcome that resulted from your efforts.

Highlight the scripting languages you are proficient in and how you use them to automate tasks, improve efficiency, and enhance system interactions. Provide examples of specific scripts you've crafted to solve problems or streamline processes.

Discuss your strategies for lifecycle management, such as regular audits, firmware updates, and OS driver certifications. Highlight how these practices ensure optimal performance and reliability of the computing resources in your environment.

Share how you collect, analyze, and leverage performance metrics to make informed decisions about system improvements, resource allocations, and workload distributions, emphasizing the significance of data-driven insights.

Discuss your philosophy on mentorship, which could include regular check-ins, knowledge sharing sessions, and providing constructive feedback. Highlight how you help junior staff develop their skills and confidence while fostering a collaborative team environment.