Site Reliability Engineer 3

​Work on SREs backlog items.

​Monitor and Maintain Systems: Continuously monitor the health and performance of our services, systems, and infrastructure. Respond to alerts and incidents promptly to ensure high availability.

​Automate Processes: Develop and maintain automation scripts and tools to streamline operations and reduce manual intervention.

​Incident Management: Assist in troubleshooting and resolving incidents, performing root cause analysis, and implementing long-term fixes to prevent recurrence.

​System Improvements: Participate in designing and implementing system improvements to enhance reliability, scalability, and performance.

​Collaboration: Work closely with software engineers to understand application requirements, provide feedback on design and architecture, and support deployment and release processes.

​Documentation: Create and maintain documentation for processes, procedures, and troubleshooting guides to ensure knowledge sharing within the team.

​Capacity Planning: Assist in capacity planning activities to anticipate future needs and ensure that our infrastructure can handle growth.

​Security: Implement and adhere to security best practices to protect our systems and data.​

Technical Skills: Good understanding of Linux/Unix systems, networking, and cloud services (AWS, Azure, or Google Cloud). Experience with scripting languages such as Python, Bash, or Ruby.

​Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field, or equivalent practical experience.

​Experience: 5+ years of experience in site reliability engineering, system administration, or a similar role, with a proven track record of managing large-scale, high-availability systems

AI skills: Familiarity with AI/ML operations, including model lifecycle management, vector databases, and inference performance tuning.

​Technical Skills: Expertise in Linux/Unix systems, networking, and cloud services (AWS, Azure, or Google Cloud). Proficiency in scripting languages (Python, Bash, Ruby) and programming languages (Go, Java, C++).

​Tools and Technologies: Advanced knowledge of monitoring and logging tools like Elastic (Prometheus, Grafana, Splunk), configuration management (Ansible, Chef, Puppet), and CI/CD pipelines.

​Problem-Solving: Strong analytical and problem-solving skills with the ability to diagnose and resolve complex issues efficiently.

​Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

​Leadership: Demonstrated ability to lead and mentor a team, drive projects to completion, and manage cross-functional initiatives.​​

Certifications: Relevant certifications such as AWS Certified DevOps Engineer, AWS Certified Machine Learning – Specialty, Google Cloud Professional DevOps Engineer, or similar are a plus.

Don’t have all the skills/experience mentioned above? At Granicus, we are trying to build diverse, inclusive teams. We do not have degree requirements for most of our roles. If you don’t meet every requirement above but are excited to learn more, we encourage you to apply. We might just be able to find another role that could be a perfect fit!