Site Reliability Engineer - Linux Platform

Job Overview

As a Site Reliability Engineer - Linux Platform at Millennium, you will play a critical role in ensuring the reliability, security, and observability of Linux environments across physical, virtual, and containerized infrastructure.

Responsibilities

• Triage, diagnose, and resolve incidents across the Linux estate, owning issues through verified resolution and driving follow-up actions that prevent recurrence.
• Troubleshoot physical server hardware, including HPE and Dell systems, using out-of-band management tools and hardware logs to diagnose component faults.
• Operate Kubernetes clusters that support internal platform services, including deployments, Helm, image builds, and capacity management.
• Build and maintain CI/CD pipelines for operating system and container image builds, configuration deployment, and promotion workflows.
• Administer RHEL servers at fleet scale, including builds, patching, lifecycle management, and configuration management through immutable image pipelines, Chef, and Ansible.
• Manage Linux authentication and entitlements across Active Directory, Kerberos, and OAuth environments.
• Use Prometheus, OpenSearch, and related observability tools to identify and address issues before they impact users.
• Review and guide AI agents supporting the operations queue, extend agent workflows and integrations in Go and Python, and participate in the on-call rotation supporting Linux services.

Requirements

• 5+ years of IT infrastructure experience focused on Linux environments; financial services experience is preferred.
• Deep expertise in enterprise Linux, including RHEL administration at fleet scale.
• Hands-on experience with Kubernetes and container technologies, including deployments, Helm, and OCI image builds.
• Experience troubleshooting enterprise server hardware, including HPE and Dell platforms, iLO or iDRAC, and hardware-log analysis.
• Strong incident-management discipline in an ITSM environment, including ServiceNow, and experience with configuration management and CI/CD tools such as Chef, Ansible, and Jenkins.
• Proficiency in Bash and/or Python, with broad knowledge of networking, DNS, NTP/PTP, and storage infrastructure.
• Working knowledge of LLMs and AI agents, including prompt and tool design, Model Context Protocol, agent evaluation, autonomous-system failure modes, and automation approval boundaries.
• Bachelor’s degree in Computer Science or a related field, or equivalent work experience; Go proficiency and RHCSA, RHCE, or CKA certifications are a plus.