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About the job
Role Overview
We are seeking an experienced Systems Engineer to design, implement, and test
automation for application deployment and infrastructure management. The role
requires strong expertise in Ansible automation, Kubernetes operations, and
system-level scripting, with a focus on GPU-aware workloads and advanced cluster
management.
Key Responsibilities
● Develop and test automation workflows using the Ansible App Library.
● Write, maintain, and optimize Ansible playbooks for application and
infrastructure automation.
● Script and automate system tasks using Bash and Ansible.
● Debug and test automation processes, ensuring reliability and scalability.
● Manage and optimize Kubernetes clusters, including:
○ Pod lifecycle management
○ Networking and firewall configurations
○ GPU device mapping within Kubernetes
○ Custom Resource Definition (CRD) creation and configuration
● Collaborate with engineering and operations teams to integrate automation into
CI/CD pipelines.
● Ensure secure, scalable, and efficient cluster automation for AI workloads.
Requirements
● Strong hands-on experience with Ansible automation and App Library
development.
● Strong hands-on experience with Linux system administration and cluster
environments.
● Proficiency in Bash scripting and playbook creation.
● Deep knowledge of Kubernetes, including:
○ Pod management and orchestration
○ Networking and firewalling in Kubernetes clusters
○ GPU resource scheduling, mapping, and utilization
○ Custom Resource Definitions (CRDs) and operator patterns
● Experience in debugging and testing automation workflows.
● Strong problem-solving skills and ability to work in a fast-paced, product-focused
environment.
Nice to Have
● Experience with GPU workloads or high-performance computing environments.
● Knowledge of CI/CD pipelines and integration with automation frameworks.
● Exposure to cloud-native monitoring and observability tools (Prometheus,
Grafana, etc.).
About the company

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