What you will do:

• Drive the program that maintains excellent uptime numbers for our services.
• Manage error budgets and associated policies for key product SLOs.
• Promote blameless post-mortem culture combined with developer operational 
• Continuously reduce operational workload for engineers by means of infrastructure improvements and automation.
• Carry out projects that actively reduce our AWS spend.
• Manage AWS resource reservations for our whole infrastructure.
• Observe our current spend on cloud resources and improve our cost monitoring ecosystem.
• Help product teams develop secure applications for the Sumo Logic platform.
• Integrate and implement solutions improving Sumo Logic’s security posture.
• Lead security reviews and penetration tests at design and implementation stages.
• Partner with the Security Operations Center (SOC) and Compliance team on our security and compliance posture, vulnerability management, and threat modeling of our tech stack.
• Educate product teams on secure development best practices and Quality 
• Engineering teams on continuous improvement of security testing.
• Lead and grow a global team of SREs adept at building extremely high-volume, fault-tolerant, efficient, and scalable backend systems.
• Partner with our technical leadership team to review choices on an ongoing basis, in anticipation of increased scale and ever-evolving technology to meet the demands of growing business. Leverage technical skills to successfully analyze and improve the efficiency, scalability, and reliability of our backend systems.

What makes you  a great fit:

• B.S. in Computer Sciences or related discipline (M.S., or Ph.D. is a plus).
• Minimum 8+ years of industry experience with a proven track record of ownership, delivery, and operational excellence.
• Minimum 3+ years in a management role.
• Experience being responsible for key SLOs of a cloud-based SaaS: availability, uptime, performance, and security.
• Experience in multi-threaded programming and distributed systems.
• Object-oriented programming experience, for example in Java, Scala, Golang.
• Experience with high volumes of data using the latest technologies such as Kafka, Kubernetes and Docker.
• Agile software development experience (test-driven development, iterative and incremental development). Experience in big data and/or 24x7 commercial service is highly desirable.
• Hands-on experience with public cloud Infrastructure-as-a-service and Platform-as-a-service offerings - Amazon Web Services, Google Cloud Platform, etc.