Site Reliability Engineer
Bay Systems Consulting, Inc.
- Location
- Onsite (Berkeley, California)
- Compensation
- Up to $80/hr
- Employment
- Full-time
- Level
- Mid Level
About the role
Bay Systems Consulting supports the National Energy Research Scientific Computing Center (NERSC) by maintaining mission-critical high-performance computing systems and data center infrastructure. The role ensures operational reliability through proactive monitoring, incident response, and automation within a 24/7 environment.
Skills
Full job details
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.