Platform Engineer

Job Detail Experience Level Sr Level Degree Type Bachelor of Science (BS)
Employment Full Time Working Type On Site Job Reference Salary Type Annually Industry Defense and Space Selling 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 Description Overview Lead  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 & Duties Deploy 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 Requirements Bachelor's degree in Computer Science or a related field is required.

Minimum of 3 years, preferably 5 years, of experience in platform engineering or Dev Ops.

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 tool chains.