Provide production support on a shift according to the team on-call roster
Work on the customer and internal engineering/implementation team raised tickets while not on-call for production support
Monitor and Maintain Systems: Continuously monitor the health and performance of our services, systems, and infrastructure
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

5+ years of experience in site reliability engineering, system administration, or a similar role
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
Bachelor's or postgraduate degree in computer science, Information Technology, or a related field, or equivalent practical experience
Familiarity with AI/ML operations, including model lifecycle management, vector databases, and inference performance tuning
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++)
Advanced knowledge of monitoring and logging tools like Elastic (Prometheus, Grafana, Splunk), configuration management (Ansible, Chef, Puppet), and CI/CD pipelines
Strong analytical and problem-solving skills with the ability to diagnose and resolve complex issues efficiently
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Demonstrated ability to lead and mentor a team, drive projects to completion, and manage cross-functional initiatives
Relevant certifications such as AWS Certified DevOps Engineer, AWS Certified Machine Learning – Specialty, Google Cloud Professional DevOps Engineer, or similar are a plus.

Site Reliability Engineer – Level 3

Key skills