Systems & Infrastructure Engineer

Position Overview As a Systems & Infrastructure Engineer, you will support and maintain our Linux-based data analytics platform. You will be responsible for system lifecycle management, platform reliability, containerized workloads, and operational compliance in a regulated environment. The ideal candidate has hands-on experience with Ubuntu Linux , understands modern containerization and orchestration technologies (Docker/Kubernetes) , and thrives in a distributed, technically complex, data-centric environment.   Essential Duties & Responsibilities: Platform Operations & System Administration   Install, configure, upgrade, and decommission:  BIOS and firmware  Ubuntu/Linux operating systems  System-level packages, software applications, modules, and dependencies  Manage and maintain virtualization or container environments, including Docker and Kubernetes workloads Monitor system resource utilization, scalability, and performance of compute nodes and platform services. Perform routine system health checks, vulnerability assessments, and patch management Troubleshoot and resolve Linux OS issues, compute environment problems, network connectivity concerns, storage issues, and node-level failures Platform Management & User Operations   Handle daily operational requests including:  User management, access provisioning, and permissions updates  Data access requests and entitlement adjustments  Break-fix support and incident response  Ticket queue management, documenting work in accordance with SLAs  Collaborate with engineering, analytics, and DevOps teams to support environment stability and improvements Ensure high availability of critical platform services used by computation, data analysis, and ETL workflows Security, Compliance & Audit Support   Maintain environment compliance with SOC 2, HIPAA, and PCI requirements through year-round operational discipline Implement and validate security controls such as:  Patch management  Access controls and logging  Vulnerability remediation  Configuration management and change tracking  Document platform changes, architecture, and controls to support compliance Provide audit support annually through evidence collection, system reports, configuration exports, and control demonstrations Automation & Reliability Engineering   Develop automation scripts using Bash, Python, or similar languages to streamline operational processes Enhance system reliability through:  Infrastructure-as-Code templates (e.g., Terraform, Ansible)  Automated deployments and environment builds  Monitoring and alerting improvements  Participate in capacity planning, performance tuning, and architectural enhancements for high-volume compute and analytics workloads Systems Engineering in a Computational Analytics Environment   Manage compute clusters supporting data science, analytics, and batch workloads Oversee job scheduling environments (Kubernetes jobs, Cron, workflow schedulers) Support distributed file systems, object storage, or high-throughput data pipelines as needed Maintain security and operational continuity across multi-node environments Required Skills: Required   3–6 years of hands-on experience with Ubuntu/Linux system administration Working knowledge of Docker and Kubernetes in a production environment Experience with system patching, kernel upgrades, firmware/BIOS updates, and environment hardening Familiarity with security best practices, access control, and compliance-driven operations Strong troubleshooting skills across systems, networking, and application layers Scripting experience (Bash, Python, or similar) Experience working in remote, distributed teams Preferred   Experience supporting a high-performance computing (HPC), large-scale analytics, or distributed compute environment  Exposure to CI/CD pipelines, GitOps, or automated infrastructure provisioning Understanding of SOC2/HIPAA/PCI controls, audits, or regulated computing environments Experience with monitoring tools (Prometheus, Grafana, Zabbix, etc.) Soft Skills   Strong communication skills and ability to document clearly Attention to detail, especially regarding compliance requirements Ability to work independently, manage priorities, and meet operational SLAs Proactive mindset with a drive to automate and improve platform What's in it for You? Opportunity to work in the booming field of cloud, data management and analytics alongside some of the brightest minds in the industry Opportunity to work with cutting-edge technology Chance to work with a rapidly expanding US tech company Flexible schedule and paid time off Competitive salary and benefits package