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 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.