Platform Engineer

Job DetailExperience Level Sr LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type On SiteJob Reference 0000017898Salary Type AnnuallyIndustry Defense and SpaceSelling Points Drive innovation by optimizing GPU-accelerated Kubernetes platforms for machine learning. Collaborate on impactful projects in advanced infrastructure development. Elevate your career in a dynamic, technology-driven environment.Job DescriptionOverviewLead the development and optimization of scalable Kubernetes platforms tailored for high-performance machine learning workloads.Design and deploy GPU-accelerated clusters across hybrid cloud and bare-metal infrastructures to support advanced computing needs.Implement robust CI/CD pipelines to streamline software delivery and enhance operational efficiency.Develop and maintain observability systems to monitor infrastructure performance and ensure reliability.Collaborate with cross-functional teams to refine development workflows and optimize tooling.Apply infrastructure-as-code practices to ensure consistency and scalability in system configurations.Manage core infrastructure components, including networking, storage, and system setups.Ensure compliance with security standards and implement measures to mitigate risks.Key Responsibilities & DutiesDeploy and manage Kubernetes clusters optimized for GPU-accelerated machine learning workloads.Enhance system performance through proactive monitoring and optimization strategies.Design and operate automated CI/CD pipelines to support efficient software delivery.Develop observability tools to monitor system health and generate actionable insights.Collaborate with development teams to refine tooling and improve deployment processes.Implement infrastructure-as-code using tools such as Terraform, Helm, and Ansible.Manage networking, storage, and system configurations for high-performance environments.Ensure adherence to stringent security standards and protocols.Job RequirementsBachelor's degree in Computer Science or a related field is required.Minimum of 3 years, preferably 5 years, of experience in platform engineering or DevOps.Proficiency in Python and Bash for scripting and automation tasks.Strong expertise in Kubernetes administration and GPU environments.Experience with CI/CD pipeline design and observability tools.Advanced knowledge of Linux systems and infrastructure-as-code practices.Ability to manage complex systems and ensure compliance with security standards.Preferred experience with machine learning orchestration tools and build toolchains.