Engineer

Skill: Site reliability engineering-Senior Engineer

Must have skills:

• Python or Java.
• Splunk Cloud, Thousand Eyes, cloud platforms such as AWS, Google Cloud, or Azure.
• Docker and Kubernetes.

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, ThousandEyes.
• Understands networking principles and protocols.
• Capable of working collaboratively in a fast-paced, dynamic environment with excellent problem-solving skills.

Salary Range - $105,000-$125,000 a year

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