Site Reliability Engineer (SRE) - Monitoring Specialist

ArrowCore Group; Memphis (TN); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology solutions provider is seeking a Site Reliability Engineer - Monitoring Specialist in Memphis. This role emphasizes developing monitoring solutions using Grafana, automating processes, and analyzing data. Candidates should have 5+ years in site reliability engineering and expertise in multiple programming languages. The position offers an opportunity to work collaboratively to enhance system reliability and efficiency.

Qualifications

• 5+ years of experience in site reliability engineering or monitoring roles.
• Proficiency in at least two of the following programming languages: Java, Golang, Python, C/C++/C#.
• Expert-level knowledge of Grafana.

Responsibilities

• Design, build, and maintain Grafana dashboards for datacenter visibility.
• Develop automation scripts using relevant programming languages.
• Collaborate with Datacenter Operations Technicians.

Skills

Grafana

Java

Golang

Python

C/C++/C#

Bash scripting

Linux

Education

Bachelor's degree in Computer Science

Tools

JSON

Prometheus

InfluxDB

Job description

Site Reliability Engineer (SRE) - Monitoring Specialist

Location: Memphis, TN

Department: Site Reliability Engineering

Employment Type: Full-Time

About the Role: As an SRE - Monitoring Specialist, you will focus on developing and managing monitoring solutions, with heavy emphasis on Grafana for creating dashboards that provide visibility into datacenter health. You will leverage programming skills to automate monitoring, analyze data in formats like JSON, and scale business operations through insightful visualizations. This role requires collaboration with datacenter teams to deliver actionable insights and minimize downtime in our infrastructure.

Key Responsibilities

• Design, build, and maintain Grafana dashboards tailored for datacenter technician organizations, providing real-time views into system health, performance metrics, and monitoring alerts.
• Develop automation scripts and tools using languages such as Java, Golang, Python, C/C++/C#, Bash, or Linux shell scripting to integrate monitoring systems and process data in JSON formats.
• Collaborate with Datacenter Operations Technicians to identify monitoring needs, troubleshoot issues, and ensure dashboards support efficient incident response and preventive maintenance.
• Evaluate and optimize existing dashboards for scalability, drawing from past experiences in creating monitoring solutions that have driven business growth.
• Manage dashboard lifecycle, including version control, updates, and performance tuning to handle large-scale datacenter environments.
• Participate in on-call rotations, incident analysis, and root cause investigations using monitoring data to improve system reliability.
• Document monitoring strategies, dashboard designs, and best practices to foster knowledge sharing within the team.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 5+ years of experience in site reliability engineering or monitoring roles, preferably in datacenter or cloud environments.
• Proficiency in at least two of the following programming languages: Java, Golang, Python, C/C++/C#, with strong skills in Linux and Bash scripting.
• Hands-on experience working with JSON for data parsing, integration, and API interactions.
• Expert-level knowledge of Grafana, including creating complex dashboards, queries, and integrations with data sources like Prometheus or InfluxDB.
• Proven track record of developing dashboards that provide health and monitoring views for operational teams, with examples of how they scaled business operations.
• Experience managing monitoring tools and dashboards, including optimization, alerting, and integration into CI/CD pipelines.
• Strong problem-solving skills with a focus on data-driven decision-making and collaboration in fast-paced environments.

Preferred Qualifications

• Experience in AI/ML infrastructure or high-performance computing monitoring.
• Familiarity with other monitoring tools (e.g., Grafana) and observability practices.
• Prior work in a startup or tech company, with contributions to scalable monitoring systems.

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