Site Reliability Engineer in Berkeley, California at Bay Systems Consulting Inc.

Site Reliability Engineer (SRE)

Organization: Lawrence Berkeley National Laboratory National Energy Research Scientific Computing Center (NERSC)

Position Type: 12 - month contract

Schedule: Onsite | Overnight Shift (12:00 AM – 8:00 AM), 5 Days/Week

Position Overview

Seeking a skilled Site Reliability Engineer (SRE) to support the National Energy Research Scientific Computing Center (NERSC). This role focuses on maintaining the reliability, security, and performance of mission-critical high-performance computing (HPC) systems and data center infrastructure. The SRE will support 24/7 operations through proactive monitoring, incident response, automation, and continuous operational improvements.

Key Responsibilities

• Monitor HPC systems, servers, storage, networks, and data center infrastructure to ensure operational reliability.
• Investigate system alerts, troubleshoot incidents, and coordinate escalations to minimize downtime.
• Develop and maintain automated monitoring, alerting, and incident-response solutions.
• Utilize Linux, scripting, and ServiceNow to streamline operational workflows and improve system performance.
• Collaborate with engineering and operations teams to resolve technical issues and coordinate maintenance activities.
• Maintain accurate incident documentation, service tickets, and operational records.
• Perform routine data center inspections, including environmental monitoring, power, and cooling systems.

Required Qualifications

• Hands-on experience with Linux/Unix environments, command-line tools, and SSH.
• Proficiency in scripting or programming languages such as Python, Bash, Perl, Java, C, or C++.
• Understanding of networking protocols, IT infrastructure, firewalls, and access control lists (ACLs).
• Experience supporting highly available systems, enterprise infrastructure, or large-scale data centers.
• Strong troubleshooting, analytical, communication, and cross-functional collaboration skills.
• Ability to work onsite overnight within a 24/7 operational environment.

Preferred Qualifications

• Experience with Kubernetes, Prometheus, VictoriaMetrics, Alertmanager, or similar monitoring technologies.
• Knowledge of ServiceNow, IT Service Management (ITSM), and incident management best practices.
• Experience developing automation tools, including Agentic AI solutions for operational efficiency and proactive monitoring.