Systems Engineer

As a Senior Systems Engineer you are the architect and guardian of the foundational infrastructure upon which the entire AryaXAI platform is built While our Software Engineers build the applications you build the world-class multi-cloud environment where those applications run You will be responsible for the design implementation and operational excellence of our Kubernetes clusters core networking and operating systems Your role involves deep hands-on work with the internals of Linux Kubernetes and cloud provider primitives to ensure our platform is secure performant and scales seamlessly You will be the final escalation point for the most complex infrastructure issues and will be instrumental in building a resilient automated and cost-effective foundation for our AI workloads Key Responsibilities Architect Multi-Cloud Kubernetes Infrastructure Design build and maintain highly available scalable and secure Kubernetes clusters across multiple cloud providers AWS GCP Automate Everything with IaC Lead the development of our Infrastructure as Code IaC strategy using Terraform Write clean modular and maintainable code to automate the provisioning of all infrastructure resources Deep System Network Optimization Dive deep into the stack to optimize performance This includes Linux kernel tuning network stack optimization and configuring our Kubernetes networking CNI for high-throughput low-latency communication required by ML workloads Infrastructure Security and Hardening Define and implement security best practices for our infrastructure This includes hardening base OS images configuring network security policies managing IAM roles and ensuring the security of our Kubernetes control plane Build Core Observability and Reliability Engineer and manage the foundational observability stack e g Prometheus Grafana Loki that provides deep insight into the health and performance of our systems Develop CI CD Infrastructure Build and maintain the underlying infrastructure that powers our CI CD pipelines enabling our software engineers to ship code rapidly and reliably Troubleshoot Complex System Issues Act as the subject matter expert for diagnosing and resolving complex system-level issues that span across networking operating systems and the Kubernetes platform Required Qualifications Extensive Systems Experience 5 years of professional experience in a Systems Engineering Site Reliability Engineering SRE or a similar infrastructure-focused role Expert-Level Linux Unix Administration A deep fundamental understanding of Linux internals including the kernel system calls filesystems memory management and the networking stack Kubernetes Mastery Proven hands-on experience building and managing production-grade Kubernetes clusters from the ground up You must have a deep understanding of the Kubernetes control plane etcd kube-apiserver scheduler worker node components kubelet kube-proxy and key extension points like CNI and CSI Proficiency in Infrastructure as Code IaC Expert-level skills in Terraform with experience building complex modular and reusable infrastructure definitions Advanced Networking Knowledge A strong command of TCP IP networking fundamentals L3 L4 DNS HTTP S and advanced cloud networking concepts including VPCs subnets routing and load balancing across multiple cloud providers Automation and Scripting Strong scripting skills in a language like Python or Go used for automating infrastructure management tasks Strong hands-on experience with Infrastructure as Code Terraform CloudFormation Pulumi and automation scripting Proficiency in building managing and optimizing CI CD pipelines using tools such as Jenkins GitLab CI or GitHub Actions Familiarity with monitoring and observability tools Prometheus Grafana ELK stack for troubleshooting and system insights Solid understanding of cloud security networking concepts and security best practices in cloud environments Preferred Qualifications Multi-Cloud Operations Demonstrable experience managing production infrastructure that spans both AWS and GCP Advanced Kubernetes and Cloud Native Tooling Experience with service meshes e g Istio Linkerd policy engines e g OPA Gatekeeper and cluster lifecycle management tools High-Performance Networking Experience with advanced networking solutions like Cilium with eBPF to optimize performance and security for demanding workloads GPU and Specialized Hardware Management Experience managing infrastructure with specialized hardware like GPUs including setting up drivers and device plugins in a Kubernetes environment Building Bare Metal or Hybrid Clouds Experience managing physical servers and integrating them into a hybrid cloud environment What we offer Opportunity to work on and shape cutting-edge cloud and serverless technologies A collaborative and innovative work environment that encourages creativity and pushes technological boundaries Competitive salary and benefits package Professional development and learning opportunities Remote work options Chance to contribute to the broader tech community through open-source contributions and conference presentations