Site Reliabity Engineer Intern

Required Knowledge, Qualification and Experience

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
  
• Some exposure in Kubernetes and Cloud networking.
  
• some experience with monitoring and observability tools.
  
• Good exposure managing production systems in cloud environments.
  
• Some exposure in implementing and managing CI/CD pipelines and utilizing tools like Jenkins, GitLab CI/CD, or equivalent.
  
• Some exposure with cloud platforms (AWS, Azure, Google Cloud) and containerization tools like Docker and Kubernetes.
  
• Basic hands-on exposure to monitoring and metrics systems such as Prometheus.
  
• Basic familiarity with dashboarding and visualization tools such as Grafana. Foundational understanding of log aggregation systems such as Loki.
  
• Familiarity with Linux environments and basic system commands. Exposure to scripting concepts using Python, Bash, or similar languages
  
• Foundational knowledge of Artificial Intelligence (AI) and good exposure with Al agents; relevant certifications in Al or related disciplines will be an added advantage.
  

• Assist in design, implement, and continuously improve system reliability, availability, and performance by assisting in defining and monitoring SLIS,
  
• SLOS, and error budgets across all assigned platforms.
  
• Support in building and managing a robust monitoring and observability framework using Prometheus, Grafana, and Loki to track latency, traffic, errors, system health, and user impact.
  
• Assist in automating infrastructure provisioning, scaling, and configuration management using Infrastructure as Code principles with Terraform and Kubernetes to ensure consistency, scalability, and disaster recovery readiness.
  
• Participate in incident response processes, including detection, escalation, resolution, communication, and conducting blameless postmortems to prevent recurrence.
  
• Assist in reduce manual operational workload through automation, scripting, and process optimization to improve efficiency and release velocity.
  
• Support in ensuring high availability and performance of business- critical systems.
  
• Collaborate with Engineering, Product, and DevOps teams to assist in improving deployment safety, capacity planning, cost optimization, and system scalability.
  
• Support in ensuring high availability and performance of business- critical systems.
  
• Assist in establishing alerting strategies and reliability standards that minimize alert fatigue while ensuring rapid detection and resolution of production issues.