Design and implement resilient system architectures that support high availability and scalability
Develop automation tools and scripts to enhance operational efficiency and reduce manual effort
Define, track, and analyze SLOs and SLIs to ensure reliability and performance meet business needs
Conduct thorough post-mortem analyses following incidents, driving continuous improvement through root cause identification and solution implementation
Collaborate with development and operations teams to establish best practices in system reliability and incident management
Troubleshoot and resolve issues related to database performance, network connectivity, and deployment failures, including diagnosing problems at the underlying platform level (e.g., Kubernetes, virtual machines)
Ensure that issues are resolved within the stipulated Service Level Agreements (SLAs), maintaining high standards of service delivery
Identify and troubleshoot performance bottlenecks across systems, providing actionable recommendations for enhancements
Maintain detailed documentation of processes and incident responses to support knowledge sharing and compliance
Requirements
Proficiency in programming languages such as Python, Golang, Java, or similar, focusing on operational efficiency
Demonstrated experience in system architecture and design, prioritizing reliability, and scalability
Strong understanding of SRE principles, including SLOs, SLIs, toil reduction, and incident post-mortems
Experience with cloud environments (e.g., AWS, Azure, Google Cloud) and their operational management
Strong expertise in Linux system administration
Proven experience in troubleshooting application support issues with a focus on performance and connectivity
Familiarity with networking concepts and effective troubleshooting techniques
Excellent problem-solving abilities and a proactive approach to operational challenges
Ability to work independently while effectively collaborating within a team environment
Preferred Skills:
Familiarity with monitoring tools and performance optimization techniques
Experience in scripting or automation for system administration tasks
Knowledge of networking concepts and troubleshooting methodologies
Hands-on knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services
Familiarity with DevOps practices and frameworks, including CI/CD, infrastructure as code, and containerization
