The Senior System Reliability Engineer is responsible for ensuring the stability and performance of complex systems and applications. This role involves designing, implementing, and maintaining robust systems that meet service-level requirements. The engineer will work closely with cross-functional teams to identify potential issues, conduct root cause analysis, and implement solutions to improve system reliability.
Responsibilities
Design and implement strategies to improve the reliability and availability of systems and applications.
Set up monitoring and alerting systems to detect potential performance issues.
Conduct performance testing and analysis to identify bottlenecks and areas for improvement.
Develop and maintain documentation for system architecture, processes, and procedures.
Troubleshoot and resolve complex issues related to system reliability and performance.
Collaborate with development teams to define and implement best practices for software deployment and orchestration.
Perform root cause analysis of system failures and implement preventive measures.
Continuously monitor system performance and initiate corrective actions as necessary.
Participate in on-call rotation for system emergencies and provide technical support when needed.
Stay up-to-date with emerging technologies and industry trends.
Bachelor's degree in computer science, engineering, or a related field.
Minimum of 5 years of experience in system reliability engineering or related roles.
Strong knowledge of Linux operating systems and command-line tools.
Proficiency in scripting languages, such as Python or Bash.
Experience with cloud infrastructure, such as AWS or Azure.
Familiarity with containerization technologies, such as Docker or Kubernetes.
Understanding of networking protocols and troubleshooting techniques.
Excellent problem-solving and analytical skills.
Bachelor's degree in computer science, engineering, or a related field.
Minimum of 5 years of experience in system reliability engineering or related roles.
Strong knowledge of Linux operating systems and command-line tools.
Proficiency in scripting languages, such as Python or Bash.
Experience with cloud infrastructure, such as AWS or Azure.
Familiarity with containerization technologies, such as Docker or Kubernetes.
Understanding of networking protocols and troubleshooting techniques.
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