Rapidly respond to and resolve production incidents, minimizing downtime and ensuring service reliability.

Automate repetitive tasks and processes to improve efficiency and reduce manual errors.

Continuously monitor system performance and identify bottlenecks to optimize resource utilization.

Forecast future capacity needs and plan infrastructure upgrades to support growing demands.

Diagnose and resolve complex system issues, ensuring stability and optimal performance.

Maintain and manage system configurations, ensuring consistency and compliance with standards.

Develop and test disaster recovery plans to ensure business continuity in case of major incidents.

Implement security measures to protect systems from vulnerabilities and cyber threats.

Manage and automate code deployments, ensuring smooth and reliable releases.

Conduct thorough root cause analysis of incidents to prevent recurrence and improve system resilience.

Create and maintain comprehensive documentation for systems, processes, and procedures.

Collaborate with development, operations, and other teams to ensure seamless service delivery.

Monitoring system performance and availability using tools like Prometheus, Grafana, and Datadog.

Automating repetitive tasks and processes using scripting languages such as Python, Bash, or Go.

Troubleshooting and resolving complex system issues, including performance bottlenecks and outages.

Participating in on-call rotations and responding to incidents in a timely manner.

Collaborating with development teams to ensure the reliability and scalability of applications.

Designing and implementing infrastructure as code (IaC) using tools like Terraform or CloudFormation.

Managing and maintaining cloud infrastructure on platforms like AWS, Azure, or GCP.

Conducting root cause analysis (RCA) for incidents and implementing preventative measures.

Developing and maintaining documentation for systems and processes.

Implementing and managing CI/CD pipelines for automated software releases.

Ensuring security best practices are followed in system design and implementation.

Capacity planning and performance tuning to optimize system resource utilization.

Participating in code reviews and providing feedback to improve code quality.

Staying up-to-date with the latest technologies and trends in site reliability engineering.

Creating and maintaining service level objectives (SLOs) and service level agreements (SLAs).