Site reliability engineering

Responsibilities:

 System Reliability: Work with production support teams to implement scalable, maintainable systems, continuously seeking improvements and optimizations in infrastructure and application architecture.

Toil Reduction - Automation: Build and maintain tools and scripts for automating repetitive tasks, deployment processes, monitoring, and incident responses, reducing manual interventions and minimizing human errors.

Incident Management: Participate in major incidents (on-call rotations), respond to incidents and service outages, promptly investigate and resolve system issues, and conduct post-mortems to prevent future incidents through Problem management.

Monitoring and Alerting: Establish and maintain monitoring and alerting systems to proactively identify potential issues, ensuring timely notifications to relevant teams during critical situations.

Capacity Planning and Performance Optimization: Monitor system performance, identify bottlenecks, collaborate with engineering teams for performance optimization, and plan for future growth.

Error Budgeting and Chaos Engineering: Diagnose and recommend optimization opportunities, conducts mock drills to improve stability and resiliency.

Documentation: Develop and maintain comprehensive documentation for system configurations, processes, and troubleshooting procedures to enhance knowledge sharing and team efficiency.

Minimum Qualifications -

Knowledgeable in cloud platforms such as AWS, Google Cloud, or Azure, and familiar with containerization technologies like Docker and Kubernetes.

Proficient in using infrastructure-as-code tools like Terraform and Ansible for automation and configuration management.

Preferred Qualifications -

Experienced in software development with proficiency in programming languages like Python or Java.

Familiar with monitoring and logging tools such as Splunk Cloud, Thousand Eyes.

Understands networking principles and protocols.

Capable of working collaboratively in a fast-paced, dynamic environment with excellent problem-solving skills.

Must have skills:

Python or Java.

Splunk Cloud, Thousand Eyes, cloud platforms such as AWS, Google Cloud, or Azure.

Docker and Kubernetes